Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We're here because we don't believe there's a level playing field that gives small businesses with a fighting chance against the giants of the high street. We're here because we see banks and legacy service providers making things harder for them. We don't think the best technology or the best service should be reserved for those with the biggest headquarters. We're here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We're looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. The Role We are looking for a Senior Credit Data Analyst to lead our data strategy within the Credit Product team. You will be responsible for the full data lifecycle - from designing robust dbt models to delivering insights that drive SMB lending decisions. You will work closely with Credit, Product, and Engineering teams to ensure our credit products are optimized, scalable, and supported by high-integrity data. Key Responsibilities Data Leadership Lead the credit business with data-driven solutions Own the roadmap for credit reporting and analytics from inception to delivery Modelling & Architecture Design, implement, and maintain scalable data models in dbt Ensure the Data Warehouse remains a reliable "source of truth" for credit performance Stakeholder Management Partner with business leads to gather requirements Translate complex raw data into well-structured data models and clear reports Self Service Growth Develop and maintain Tableau dashboards Promote a data-driven culture by enabling non technical stakeholders to interpret insights independently Optimization & Analysis Analyze external customer data (Credit Bureau, Companies House) alongside internal business data Improve risk assessment and product conversion performance Data Quality Maintain high data quality standards across the lifecycle Collaborate with Data Engineers to ensure reporting requirements are aligned with product implementation Must Have Requirements 3+ years' experience in a data related role (ideally within FinTech or Lending) Strong proficiency in SQL Strong experience with Tableau (or equivalent BI tool) Proven experience with dbt and data modelling in cloud environments (Snowflake, Redshift) Strong understanding of ETL processes Experience collaborating with Data Engineers on production pipelines Proficiency using Git for version control Strong analytical skills with ability to translate technical findings into business conclusions Self starter attitude, comfortable in fast paced environments Nice to Have Direct experience in SMB lending or Credit products Experience working with Credit Data Scientists (building datasets for lending funnel analysis or predictive modelling) Experience handling Credit Bureau data (Experian/Equifax) Experience working with Companies House data Proficiency in Python for data manipulation Exposure to Machine Learning The Perks Flexible working hours built on trust and collaboration Physical and mental health support through Wellhub, including access to 1,500+ gyms, 1 1 therapy, meditation, and wellbeing apps Enhanced maternity and paternity leave Cycle to Work Scheme Health and Life Insurance Pension Scheme 25 days of annual leave (+ bank holidays) Daily office snacks Friendly, informal office environment in Central London Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application-we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.
03/06/2026
Full time
Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We're here because we don't believe there's a level playing field that gives small businesses with a fighting chance against the giants of the high street. We're here because we see banks and legacy service providers making things harder for them. We don't think the best technology or the best service should be reserved for those with the biggest headquarters. We're here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We're looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. The Role We are looking for a Senior Credit Data Analyst to lead our data strategy within the Credit Product team. You will be responsible for the full data lifecycle - from designing robust dbt models to delivering insights that drive SMB lending decisions. You will work closely with Credit, Product, and Engineering teams to ensure our credit products are optimized, scalable, and supported by high-integrity data. Key Responsibilities Data Leadership Lead the credit business with data-driven solutions Own the roadmap for credit reporting and analytics from inception to delivery Modelling & Architecture Design, implement, and maintain scalable data models in dbt Ensure the Data Warehouse remains a reliable "source of truth" for credit performance Stakeholder Management Partner with business leads to gather requirements Translate complex raw data into well-structured data models and clear reports Self Service Growth Develop and maintain Tableau dashboards Promote a data-driven culture by enabling non technical stakeholders to interpret insights independently Optimization & Analysis Analyze external customer data (Credit Bureau, Companies House) alongside internal business data Improve risk assessment and product conversion performance Data Quality Maintain high data quality standards across the lifecycle Collaborate with Data Engineers to ensure reporting requirements are aligned with product implementation Must Have Requirements 3+ years' experience in a data related role (ideally within FinTech or Lending) Strong proficiency in SQL Strong experience with Tableau (or equivalent BI tool) Proven experience with dbt and data modelling in cloud environments (Snowflake, Redshift) Strong understanding of ETL processes Experience collaborating with Data Engineers on production pipelines Proficiency using Git for version control Strong analytical skills with ability to translate technical findings into business conclusions Self starter attitude, comfortable in fast paced environments Nice to Have Direct experience in SMB lending or Credit products Experience working with Credit Data Scientists (building datasets for lending funnel analysis or predictive modelling) Experience handling Credit Bureau data (Experian/Equifax) Experience working with Companies House data Proficiency in Python for data manipulation Exposure to Machine Learning The Perks Flexible working hours built on trust and collaboration Physical and mental health support through Wellhub, including access to 1,500+ gyms, 1 1 therapy, meditation, and wellbeing apps Enhanced maternity and paternity leave Cycle to Work Scheme Health and Life Insurance Pension Scheme 25 days of annual leave (+ bank holidays) Daily office snacks Friendly, informal office environment in Central London Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application-we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.
Lead Analyst, Credit Risk Cards Originations London, UK • Chatham, UK • Bradford, UK Job Description Lead Credit Risk Analyst, Credit Cards Originations Contract Type: Permanent Full Time Location: Bradford, Chatham, Petersfield or London Working Pattern: Hybrid (usually one day a week in the office). We welcome part-time and flexible arrangements and will aim to match your current flexibility where possible. What We Offer We care about your wellbeing, not just your work. Our benefits are designed to support your life, your health and your growth: Holidays: 25 days (rising to 30) + buy/sell up to 5 days + swap up to 4 bank holidays. Pension: Up to 10% employer contribution. Enhanced Leave: Enhanced maternity (post-probation), 4 weeks' paternity, and paid neonatal & carers leave. Workations: Work abroad for up to 20 days a year in approved countries. Birthday Leave: Your birthday off-paid. Learning: Access to LinkedIn Learning for all colleagues. Financial Wellbeing: Free Snoop Premium subscription. Healthcare: Self-pay Denplan & optional Private Medical Insurance. The Role Are you passionate about turning data into powerful business decisions? At Vanquis, we're looking for a Lead Credit Risk Analyst to shape the future of our New Business Strategies. You'll focus primarily on our Credit Cards portfolio, developing and enhancing our origination strategies and reporting. In this key role, you'll use data-driven insight to design, implement and refine originations strategies that balance risk and opportunity. You'll dive deep into customer decisioning across multiple products, becoming a subject matter expert in how we assess applications and support responsible growth. With a strong emphasis on reporting and performance monitoring, you'll ensure our strategies stay sharp, effective and aligned with business goals. If you're ready to make a measurable impact across diverse portfolios in a dynamic, data-rich environment, this role is your opportunity to lead with insight and innovation. As a Lead Credit Risk Analyst, you will: Develop expert understanding of new business originations, including all aspects of decisioning and customer touch points. Regular reporting & monitoring to ensure risk strategies are effective. Support the optimisation of lending decisions through test and learn initiatives to identify champion strategies.Support business growth and portfolio profitability while ensuring a balance between risk, reward and responsible lending, and controlling credit quality and performance. Ensure lending decisions are accurate and appropriate through close tracking and monitoring. Perform inquisitive and innovative analysis and provide logical recommendations resulting in customer and /or business benefits. Deliver complex analytical/data driven projects fully incorporating Customer and business implications throughout.Support the automation of MI and processes to maximise integration, effectiveness and efficiency. What We're Looking For 5+ years' experience in an analytical role, within a Credit Risk environment. Experience of strategy optimisation or scorecard cut-off setting. Excellent communication skills, written and verbal. Experience working to a high level of detail and accuracy. Knowledge of Consumer Lending products such as Credit cards, Loans or Vehicle Finance. Confidently present analysis, recommendations, and strategic insights to senior stakeholders and governance forums, ensuring complex information is communicated clearly and effectively. Lead end to end delivery of analytical projects while providing guidance, coaching and mentorship to junior analysts to support their development and high quality output. Offers are subject to standard background checks (credit, fraud and employment references). Vanquis Bank is an Equal Opportunity Employer. We value everyone's unique background, identity and experience, and we're committed to a workplace where all colleagues can thrive. If you need any adjustments or support during the recruitment process, please contact and we'll be happy to help.
03/06/2026
Full time
Lead Analyst, Credit Risk Cards Originations London, UK • Chatham, UK • Bradford, UK Job Description Lead Credit Risk Analyst, Credit Cards Originations Contract Type: Permanent Full Time Location: Bradford, Chatham, Petersfield or London Working Pattern: Hybrid (usually one day a week in the office). We welcome part-time and flexible arrangements and will aim to match your current flexibility where possible. What We Offer We care about your wellbeing, not just your work. Our benefits are designed to support your life, your health and your growth: Holidays: 25 days (rising to 30) + buy/sell up to 5 days + swap up to 4 bank holidays. Pension: Up to 10% employer contribution. Enhanced Leave: Enhanced maternity (post-probation), 4 weeks' paternity, and paid neonatal & carers leave. Workations: Work abroad for up to 20 days a year in approved countries. Birthday Leave: Your birthday off-paid. Learning: Access to LinkedIn Learning for all colleagues. Financial Wellbeing: Free Snoop Premium subscription. Healthcare: Self-pay Denplan & optional Private Medical Insurance. The Role Are you passionate about turning data into powerful business decisions? At Vanquis, we're looking for a Lead Credit Risk Analyst to shape the future of our New Business Strategies. You'll focus primarily on our Credit Cards portfolio, developing and enhancing our origination strategies and reporting. In this key role, you'll use data-driven insight to design, implement and refine originations strategies that balance risk and opportunity. You'll dive deep into customer decisioning across multiple products, becoming a subject matter expert in how we assess applications and support responsible growth. With a strong emphasis on reporting and performance monitoring, you'll ensure our strategies stay sharp, effective and aligned with business goals. If you're ready to make a measurable impact across diverse portfolios in a dynamic, data-rich environment, this role is your opportunity to lead with insight and innovation. As a Lead Credit Risk Analyst, you will: Develop expert understanding of new business originations, including all aspects of decisioning and customer touch points. Regular reporting & monitoring to ensure risk strategies are effective. Support the optimisation of lending decisions through test and learn initiatives to identify champion strategies.Support business growth and portfolio profitability while ensuring a balance between risk, reward and responsible lending, and controlling credit quality and performance. Ensure lending decisions are accurate and appropriate through close tracking and monitoring. Perform inquisitive and innovative analysis and provide logical recommendations resulting in customer and /or business benefits. Deliver complex analytical/data driven projects fully incorporating Customer and business implications throughout.Support the automation of MI and processes to maximise integration, effectiveness and efficiency. What We're Looking For 5+ years' experience in an analytical role, within a Credit Risk environment. Experience of strategy optimisation or scorecard cut-off setting. Excellent communication skills, written and verbal. Experience working to a high level of detail and accuracy. Knowledge of Consumer Lending products such as Credit cards, Loans or Vehicle Finance. Confidently present analysis, recommendations, and strategic insights to senior stakeholders and governance forums, ensuring complex information is communicated clearly and effectively. Lead end to end delivery of analytical projects while providing guidance, coaching and mentorship to junior analysts to support their development and high quality output. Offers are subject to standard background checks (credit, fraud and employment references). Vanquis Bank is an Equal Opportunity Employer. We value everyone's unique background, identity and experience, and we're committed to a workplace where all colleagues can thrive. If you need any adjustments or support during the recruitment process, please contact and we'll be happy to help.
Who We Are At also known as JINGDONG, everything begins with a bold idea and the drive to make life smarter, faster, and more connected. What started in China has grown into one of the world's most trusted technology and supply chain ecosystems, serving over 700 million customers. From retail and logistics to tech, property, and beyond, we're all about innovation that actually makes a difference. Our Global Reach: is expanding worldwide through a digitally intelligent, cross border supply chain and world class logistics network. What We Offer As an intern at you'll work on meaningful, hands on projects, learn from talented colleagues across our global network, and grow in a supportive, fast paced environment designed for development. With competitive compensation, great office locations, and a people first culture that champions continuous learning, you'll have everything you need to thrive and kick start your career. About Your Program You'll be joining the JD Young (JDY) Internship Program, designed to give early career talent hands on exposure to real projects, real responsibilities, and real growth. Over 3-6 months, you'll work alongside experienced teams, build fundamental skills, and gain insights into how a global business operates. Data System Construction: Build data models and indicator systems based on business needs, such as quality experience and user operation systems, to ensure that data accurately reflects business conditions and provides strong support for business monitoring and analysis. Data Monitoring and Analysis: Establish a data monitoring system to track business data fluctuations, conduct in depth analysis of anomalies, promptly identify business risks and issues, and provide data driven insights for decision making, ensuring stable business operations. Business Value Mining: Extract value from data, gain insights into user needs, identify business opportunities in line with industry trends, and propose targeted strategy recommendations. Drive the execution of strategies and projects to support business growth and optimization. Project Support: Participate in business projects by providing data support, assist in resolving data related issues, track project performance feedback, and ensure smooth project execution to meet expected goals. Data Application Promotion: Convert analytical findings into data product requirements, promote data visualization and data product development, enhance data usability and application value, and provide more convenient and efficient data services for the business. About You Currently pursuing or recently completed a degree in Data Analytics, Finance, Economics, Computer Science, Mathematics, or a related quantitative field. Strong analytical skills with the ability to build data models and design KPI/indicator systems that reflect real business performance. Proficiency in data analysis tools (e.g., SQL, Python, Excel, or BI tools like Tableau/PowerBI) to monitor trends and investigate anomalies. Ability to translate complex data into actionable insights, identifying business risks, user needs, and growth opportunities. Strong communication and collaboration skills, with the ability to support projects and present data driven recommendations to cross functional teams. Ready To Apply? Don't leave yourself wondering 'what if'. Hit apply and see where your curiosity can take you at We are committed to creating an inclusive workplace where every voice counts and every talent belongs. We are proud to be an equal opportunity employer. All employment decisions are made without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, age, veteran status, or any legally protected characteristic.
03/06/2026
Full time
Who We Are At also known as JINGDONG, everything begins with a bold idea and the drive to make life smarter, faster, and more connected. What started in China has grown into one of the world's most trusted technology and supply chain ecosystems, serving over 700 million customers. From retail and logistics to tech, property, and beyond, we're all about innovation that actually makes a difference. Our Global Reach: is expanding worldwide through a digitally intelligent, cross border supply chain and world class logistics network. What We Offer As an intern at you'll work on meaningful, hands on projects, learn from talented colleagues across our global network, and grow in a supportive, fast paced environment designed for development. With competitive compensation, great office locations, and a people first culture that champions continuous learning, you'll have everything you need to thrive and kick start your career. About Your Program You'll be joining the JD Young (JDY) Internship Program, designed to give early career talent hands on exposure to real projects, real responsibilities, and real growth. Over 3-6 months, you'll work alongside experienced teams, build fundamental skills, and gain insights into how a global business operates. Data System Construction: Build data models and indicator systems based on business needs, such as quality experience and user operation systems, to ensure that data accurately reflects business conditions and provides strong support for business monitoring and analysis. Data Monitoring and Analysis: Establish a data monitoring system to track business data fluctuations, conduct in depth analysis of anomalies, promptly identify business risks and issues, and provide data driven insights for decision making, ensuring stable business operations. Business Value Mining: Extract value from data, gain insights into user needs, identify business opportunities in line with industry trends, and propose targeted strategy recommendations. Drive the execution of strategies and projects to support business growth and optimization. Project Support: Participate in business projects by providing data support, assist in resolving data related issues, track project performance feedback, and ensure smooth project execution to meet expected goals. Data Application Promotion: Convert analytical findings into data product requirements, promote data visualization and data product development, enhance data usability and application value, and provide more convenient and efficient data services for the business. About You Currently pursuing or recently completed a degree in Data Analytics, Finance, Economics, Computer Science, Mathematics, or a related quantitative field. Strong analytical skills with the ability to build data models and design KPI/indicator systems that reflect real business performance. Proficiency in data analysis tools (e.g., SQL, Python, Excel, or BI tools like Tableau/PowerBI) to monitor trends and investigate anomalies. Ability to translate complex data into actionable insights, identifying business risks, user needs, and growth opportunities. Strong communication and collaboration skills, with the ability to support projects and present data driven recommendations to cross functional teams. Ready To Apply? Don't leave yourself wondering 'what if'. Hit apply and see where your curiosity can take you at We are committed to creating an inclusive workplace where every voice counts and every talent belongs. We are proud to be an equal opportunity employer. All employment decisions are made without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, age, veteran status, or any legally protected characteristic.
Why Here? Wise is a global technology company building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people send money abroad or make international payments, Wise simplifies lives and saves money. The Recommend channel powers the biggest driver of new users through scalable refer-a-friend programs and data insights. What Will You Do? As a Lead Product Analyst - Recommend at Wise, you will own the Recommend data domain and proactively deliver insights with recommendations. You will contribute to OKRs, track team performance, and collaborate on measurement and attribution for growth channels. Additionally, you will run A/B tests, analyze segments for optimization, and build data products to enable sustainable growth.
03/06/2026
Full time
Why Here? Wise is a global technology company building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people send money abroad or make international payments, Wise simplifies lives and saves money. The Recommend channel powers the biggest driver of new users through scalable refer-a-friend programs and data insights. What Will You Do? As a Lead Product Analyst - Recommend at Wise, you will own the Recommend data domain and proactively deliver insights with recommendations. You will contribute to OKRs, track team performance, and collaborate on measurement and attribution for growth channels. Additionally, you will run A/B tests, analyze segments for optimization, and build data products to enable sustainable growth.
Application Deadline: 12 June 2026 Department: Sales & Account Management Employment Type: Permanent - Full Time Location: Sheffield Reporting To: Business Intelligence Manager Compensation: £40,000 / year Description Advanced Supply Chain Group offer a complete end-to-end supply chain service, from source to shelf, covering all aspects of supply chain management, global logistics, fulfilment, and value-added services, allowing our customers to maximise the opportunities that exist in today's technology-enabled marketplace. Using our unique intelligent supply chain model, we design innovative solutions to complex challenges, unlock new opportunities, and speed up and streamline existing processes by removing complexity from the supply chain. It all adds up to providing a service that is "Better, Faster, Cheaper" than our competitors. Our core values drive everything we do. We believe in promoting a supportive environment for our colleagues, delivering exceptional service to our customers, contributing to the community, and working towards a more sustainable environment. If you share these values and are passionate about making a positive impact, we'd love to have you on our team. About the role At Advanced Supply Chain, we're not just keeping up with the data revolution-we're leading it. By leveraging cutting-edge analytics tools and innovative processes, we transform complex data into powerful insights that shape decisions, enhance performance, and drive real business growth. We're looking for a curious, forward-thinking Business Analyst who loves uncovering stories in data and turning them into meaningful action. If you're passionate about analytics, thrive on solving problems, and enjoy working closely with stakeholders to make an impact-this is your opportunity to shine. You'll be at the heart of our operations, partnering with Account Managers and Customer Relationship teams to understand what really matters, translating data into insights that influence strategy, improve efficiency, and elevate customer experience. This is a full-time, permanent position offering hybrid working, with site presence based at our Sheffield office in S35 when you are on site. In return, we offer a salary of up to £40,000 depending on experience, along with a structured development plan including training, mentorship, and clear opportunities for career growth. Key responsibilities: Partner with Account Managers and Customer Relationship Managers to understand analytics needs, define key metrics, and deliver impactful insights that support business decisions Proactively explore and analyse data to answer key business questions, identifying trends, opportunities, and areas for performance improvement Translate complex data into clear, compelling reports and recommendations that drive efficiency, productivity, and growth Design and build engaging, interactive dashboards and visualisations using Power BI, connecting multiple data sources into meaningful outputs Develop, maintain, and optimise databases by sourcing and integrating data from both primary and secondary channels Create scalable scripts and processes that enhance data accessibility, flexibility, and efficiency across datasets Act as a data champion within the business-helping teams understand and use data to make smarter decisions every day What we need from you We're looking for someone who combines strong technical expertise with a proactive, positive mindset-someone who enjoys working with data and turning it into meaningful insight. Excellent communication skills, with the ability to translate complex data into clear, actionable insights A resilient, adaptable approach with a flexible mindset and a drive to continuously improve A naturally innovative and curious attitude, always looking for better ways to analyse and present data Strong technical writing experience, with the ability to produce high-quality reports, queries, and presentations Solid SQL and Excel skills, alongside a willingness to learn and adopt new analytics tools Hands-on experience with Power BI and building impactful dashboards What we offer At Advanced, your journey begins with a warm welcome and a comprehensive onboarding experience designed to set you up for success from day one. But it doesn't stop there-we're committed to your continuous growth, offering ongoing training and development to help you sharpen your skills and reach your full potential. We understand the significance of maintaining a healthy work/life balance, which is why we offer a hybrid working model for our office staff. We know that taking time to recharge is essential for your wellbeing. Alongside your 25 days of annual leave, you'll also have the option to purchase additional days, giving you the flexibility to take the breaks you need, when you need them. And because we love celebrating our people, you'll get your birthday off, completely on us - enjoy your special day, work free! We believe that family matters, our enhanced maternity package offers six months of full pay, giving you the time and peace of mind to focus on your growing family. New dads and partners also receive two weeks full paternity pay, so you can be there for those important first moments. Planning for your future has never been easier-or more rewarding. Through our salary sacrifice pension scheme, you pay less tax overall, while still investing in your future. You'll be joining a team where collaboration, openness, and support are part of everyday life-because great work happens when people feel connected and inspired.
03/06/2026
Full time
Application Deadline: 12 June 2026 Department: Sales & Account Management Employment Type: Permanent - Full Time Location: Sheffield Reporting To: Business Intelligence Manager Compensation: £40,000 / year Description Advanced Supply Chain Group offer a complete end-to-end supply chain service, from source to shelf, covering all aspects of supply chain management, global logistics, fulfilment, and value-added services, allowing our customers to maximise the opportunities that exist in today's technology-enabled marketplace. Using our unique intelligent supply chain model, we design innovative solutions to complex challenges, unlock new opportunities, and speed up and streamline existing processes by removing complexity from the supply chain. It all adds up to providing a service that is "Better, Faster, Cheaper" than our competitors. Our core values drive everything we do. We believe in promoting a supportive environment for our colleagues, delivering exceptional service to our customers, contributing to the community, and working towards a more sustainable environment. If you share these values and are passionate about making a positive impact, we'd love to have you on our team. About the role At Advanced Supply Chain, we're not just keeping up with the data revolution-we're leading it. By leveraging cutting-edge analytics tools and innovative processes, we transform complex data into powerful insights that shape decisions, enhance performance, and drive real business growth. We're looking for a curious, forward-thinking Business Analyst who loves uncovering stories in data and turning them into meaningful action. If you're passionate about analytics, thrive on solving problems, and enjoy working closely with stakeholders to make an impact-this is your opportunity to shine. You'll be at the heart of our operations, partnering with Account Managers and Customer Relationship teams to understand what really matters, translating data into insights that influence strategy, improve efficiency, and elevate customer experience. This is a full-time, permanent position offering hybrid working, with site presence based at our Sheffield office in S35 when you are on site. In return, we offer a salary of up to £40,000 depending on experience, along with a structured development plan including training, mentorship, and clear opportunities for career growth. Key responsibilities: Partner with Account Managers and Customer Relationship Managers to understand analytics needs, define key metrics, and deliver impactful insights that support business decisions Proactively explore and analyse data to answer key business questions, identifying trends, opportunities, and areas for performance improvement Translate complex data into clear, compelling reports and recommendations that drive efficiency, productivity, and growth Design and build engaging, interactive dashboards and visualisations using Power BI, connecting multiple data sources into meaningful outputs Develop, maintain, and optimise databases by sourcing and integrating data from both primary and secondary channels Create scalable scripts and processes that enhance data accessibility, flexibility, and efficiency across datasets Act as a data champion within the business-helping teams understand and use data to make smarter decisions every day What we need from you We're looking for someone who combines strong technical expertise with a proactive, positive mindset-someone who enjoys working with data and turning it into meaningful insight. Excellent communication skills, with the ability to translate complex data into clear, actionable insights A resilient, adaptable approach with a flexible mindset and a drive to continuously improve A naturally innovative and curious attitude, always looking for better ways to analyse and present data Strong technical writing experience, with the ability to produce high-quality reports, queries, and presentations Solid SQL and Excel skills, alongside a willingness to learn and adopt new analytics tools Hands-on experience with Power BI and building impactful dashboards What we offer At Advanced, your journey begins with a warm welcome and a comprehensive onboarding experience designed to set you up for success from day one. But it doesn't stop there-we're committed to your continuous growth, offering ongoing training and development to help you sharpen your skills and reach your full potential. We understand the significance of maintaining a healthy work/life balance, which is why we offer a hybrid working model for our office staff. We know that taking time to recharge is essential for your wellbeing. Alongside your 25 days of annual leave, you'll also have the option to purchase additional days, giving you the flexibility to take the breaks you need, when you need them. And because we love celebrating our people, you'll get your birthday off, completely on us - enjoy your special day, work free! We believe that family matters, our enhanced maternity package offers six months of full pay, giving you the time and peace of mind to focus on your growing family. New dads and partners also receive two weeks full paternity pay, so you can be there for those important first moments. Planning for your future has never been easier-or more rewarding. Through our salary sacrifice pension scheme, you pay less tax overall, while still investing in your future. You'll be joining a team where collaboration, openness, and support are part of everyday life-because great work happens when people feel connected and inspired.
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
03/06/2026
Full time
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
Gloucestershire Hospitals NHS Foundation Trust Senior Information Analyst - Women's & Children's Division, Band 6 The closing date is 11 June 2026 Join a team dedicated to making a difference in patient care during a pivotal time for healthcare. During the past couple of years, which have been some of the most important and challenging for healthcare, our BI team have worked to aid the trust in making critical decisions while supporting patient flow and quality of care. This included using advanced forecasting models to predict COVID admissions, creating real time operational dashboards, and gaining access to new data flows. Gloucestershire Hospitals BI Team has gained national recognition, winning the Health Tech Newspaper Award for Best Use of Data 2020 and AphAs Analytical Team of the Year. This is an exciting time to be a part of the GHFT BI team. We are moving forward fast with our Digital BI strategy. Alongside these ambitious plans come lots of opportunities for staff to develop personally and professionally. As a Trust we are determined to be at the forefront of change, using tools such as machine learning and predictive analytics in the next stages of our journey. We offer hybrid working arrangements following a qualifying period, providing flexibility alongside this impactful role with a friendly and supportive team. Hybrid work - 3 days per week on site Main duties of the job We are seeking a skilled, motivated analyst with strong analytical expertise, who can communicate and present complex information effectively to diverse stakeholders. The ideal candidate will excel under pressure, manage conflicting deadlines and prioritise tasks efficiently. A key focus of the role is to support the Trust's senior leadership in improving patient experience, contributing to our vision of delivering the "Best Care for Everyone." This role requires an experienced, forward-thinking, solution-oriented analyst driven to make a meaningful impact, with a passion for delivering exemplary BI services. The successful candidate will: be primary responsible for providing vital information to internal teams and external stakeholders collaborate with clinicians and senior managers to understand requirements develop insightful reporting tools deliver intelligence to inform decision making to enhance service quality and patient care The role involves handling large volumes of complex data, advanced analytical techniques to transform data into actionable insights. The role plays a critical role identifying/addressing data quality and accuracy issues ensuring integrity of the information provided. While working collaboratively in a team, the post holder must work independently, manage their workload and proactively prioritise to meet deadlines. A positive, engaging attitude is essential to foster strong working relationships and drive improvements in patient care. About us Gloucestershire Hospitals is dedicated to nurturing the growth and potential of its staff. Within the BI team, regular internal training sessions are held to develop knowledge sharing and promote best practices across the team. With a wealth of expertise spanning all areas of the NHS, our team provides a supportive environment to help you advance in your career. Additionally, we offer access to resources like the Information Professional Register, equipping you with valuable tools to support your ongoing professional development. We take pride in placing people at the centre of everything we do, working together as a united team. Driven by a shared ambition to continually grow, develop, and learn, we recognise and value every contribution. By combining our experience and skills, we not only support our vibrant, diverse communities, but also support one another. With a team of over 9,000 employees, we are proud to be the largest employer in Gloucestershire and rank among the top 10 largest Trusts in the South West region. By joining our Trust, you will benefit from an excellent package that includes exclusive benefits, flexible working opportunities and the chance to gain valuable experience in one of our innovative hospitals. Job responsibilities This role will be an integral part of the Women's and Children's team within the Business Intelligence (BI) unit at Cheltenham General Hospital. The post holder primarily has responsibility for the provision of information to both the organisation and our external stakeholders. This involves working closely with clinicians and senior managers within the hospital to understand their requirements, developing reporting tools and providing intelligence to enable services to make better informed decisions. The post holder will need to be engaging, forward thinking, and work with a positive attitude in order to build great working relationships with our customers to improve patient care. The post holder will also be responsible for interrogating large volumes of highly complex data, and use a variety of software and analytical methods to turn this data into intelligence. The post holder is expected to highlight any areas of concern with regard to data quality and accuracy and undertake appropriate action as required. The post holder will work as part of a team of analysts, but will be required to work independently at times and manage their own workload. They will also need to take a proactive approach with regard to prioritising and negotiating deadlines. Additional working pattern details: Hybrid work 3 days per week on site Qualifications Bachelor Degree or equivalent educational level Experience Excellent SQL skills- data management, interrogation & analysis products Advanced knowledge and highly skilled in the use of MS Excel to produce dashboards (Tableau, Power BI etc) In depth knowledge and understanding of NHS Data Dictionary (DD) including datasets, data standards and data modelling concepts Ability and experience to present information with a high level of accuracy to a wide range of audiences both verbally and electronically (e.g. charts graphs, reports, scorecards, tables, dashboards etc.) Detailed understanding of the importance of data quality (DQ)-attention to detail Excellent communication skills with the ability to challenge and manage user/stakeholder expectations Excellent problem solving skills (PS) to the development of advanced analytical methodologies Lead by example the ability to exercise own initiative and work independently to achieve objectives and deadlines Appropriate professional working experience in an analytical/data management Good understanding of patient pathways Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Employer name Gloucestershire Hospitals NHS Foundation Trust £39,959 to £48,117 a year(pa pro rata if part-time)
03/06/2026
Full time
Gloucestershire Hospitals NHS Foundation Trust Senior Information Analyst - Women's & Children's Division, Band 6 The closing date is 11 June 2026 Join a team dedicated to making a difference in patient care during a pivotal time for healthcare. During the past couple of years, which have been some of the most important and challenging for healthcare, our BI team have worked to aid the trust in making critical decisions while supporting patient flow and quality of care. This included using advanced forecasting models to predict COVID admissions, creating real time operational dashboards, and gaining access to new data flows. Gloucestershire Hospitals BI Team has gained national recognition, winning the Health Tech Newspaper Award for Best Use of Data 2020 and AphAs Analytical Team of the Year. This is an exciting time to be a part of the GHFT BI team. We are moving forward fast with our Digital BI strategy. Alongside these ambitious plans come lots of opportunities for staff to develop personally and professionally. As a Trust we are determined to be at the forefront of change, using tools such as machine learning and predictive analytics in the next stages of our journey. We offer hybrid working arrangements following a qualifying period, providing flexibility alongside this impactful role with a friendly and supportive team. Hybrid work - 3 days per week on site Main duties of the job We are seeking a skilled, motivated analyst with strong analytical expertise, who can communicate and present complex information effectively to diverse stakeholders. The ideal candidate will excel under pressure, manage conflicting deadlines and prioritise tasks efficiently. A key focus of the role is to support the Trust's senior leadership in improving patient experience, contributing to our vision of delivering the "Best Care for Everyone." This role requires an experienced, forward-thinking, solution-oriented analyst driven to make a meaningful impact, with a passion for delivering exemplary BI services. The successful candidate will: be primary responsible for providing vital information to internal teams and external stakeholders collaborate with clinicians and senior managers to understand requirements develop insightful reporting tools deliver intelligence to inform decision making to enhance service quality and patient care The role involves handling large volumes of complex data, advanced analytical techniques to transform data into actionable insights. The role plays a critical role identifying/addressing data quality and accuracy issues ensuring integrity of the information provided. While working collaboratively in a team, the post holder must work independently, manage their workload and proactively prioritise to meet deadlines. A positive, engaging attitude is essential to foster strong working relationships and drive improvements in patient care. About us Gloucestershire Hospitals is dedicated to nurturing the growth and potential of its staff. Within the BI team, regular internal training sessions are held to develop knowledge sharing and promote best practices across the team. With a wealth of expertise spanning all areas of the NHS, our team provides a supportive environment to help you advance in your career. Additionally, we offer access to resources like the Information Professional Register, equipping you with valuable tools to support your ongoing professional development. We take pride in placing people at the centre of everything we do, working together as a united team. Driven by a shared ambition to continually grow, develop, and learn, we recognise and value every contribution. By combining our experience and skills, we not only support our vibrant, diverse communities, but also support one another. With a team of over 9,000 employees, we are proud to be the largest employer in Gloucestershire and rank among the top 10 largest Trusts in the South West region. By joining our Trust, you will benefit from an excellent package that includes exclusive benefits, flexible working opportunities and the chance to gain valuable experience in one of our innovative hospitals. Job responsibilities This role will be an integral part of the Women's and Children's team within the Business Intelligence (BI) unit at Cheltenham General Hospital. The post holder primarily has responsibility for the provision of information to both the organisation and our external stakeholders. This involves working closely with clinicians and senior managers within the hospital to understand their requirements, developing reporting tools and providing intelligence to enable services to make better informed decisions. The post holder will need to be engaging, forward thinking, and work with a positive attitude in order to build great working relationships with our customers to improve patient care. The post holder will also be responsible for interrogating large volumes of highly complex data, and use a variety of software and analytical methods to turn this data into intelligence. The post holder is expected to highlight any areas of concern with regard to data quality and accuracy and undertake appropriate action as required. The post holder will work as part of a team of analysts, but will be required to work independently at times and manage their own workload. They will also need to take a proactive approach with regard to prioritising and negotiating deadlines. Additional working pattern details: Hybrid work 3 days per week on site Qualifications Bachelor Degree or equivalent educational level Experience Excellent SQL skills- data management, interrogation & analysis products Advanced knowledge and highly skilled in the use of MS Excel to produce dashboards (Tableau, Power BI etc) In depth knowledge and understanding of NHS Data Dictionary (DD) including datasets, data standards and data modelling concepts Ability and experience to present information with a high level of accuracy to a wide range of audiences both verbally and electronically (e.g. charts graphs, reports, scorecards, tables, dashboards etc.) Detailed understanding of the importance of data quality (DQ)-attention to detail Excellent communication skills with the ability to challenge and manage user/stakeholder expectations Excellent problem solving skills (PS) to the development of advanced analytical methodologies Lead by example the ability to exercise own initiative and work independently to achieve objectives and deadlines Appropriate professional working experience in an analytical/data management Good understanding of patient pathways Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Employer name Gloucestershire Hospitals NHS Foundation Trust £39,959 to £48,117 a year(pa pro rata if part-time)
About Us:LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific.Proud to share LSEG in Romania is Great Place to Work certified (Sept '24 - Sept '25). Learn more about life and purpose of our company directly from the Romanian colleagues' video: Bucharest, Romania Where We Work LSEGRole Description:The Issuer Services team sits within the Capital Markets team of the London Stock Exchange. The team's mandate is to build and maintain relationships with current and future issuers and intermediaries. As part of this, the team builds digital products and services for issuers and the broader financial ecosystem within the Issuer Services platform: have been careful to maintain our neutral position within the financial ecosystem and we are aiming to build an infrastructure that reflects this and digitises workflows for issuers and intermediaries.Each of our issuers automatically gets a log-in for the platform. In addition to this we have built and continue to build out our capability for non-London listed clients to access the platform and services.Our core clients are the Investor Relations teams, intermediaries and the c-suite within public and private companies. We aim to offer them a range of products and services through the platform, that is split across five broad areas:Company profile page on Intelligence - data and analytics solutions Marketplace - LSE and third party service providers presented to issuers Spark - Thought leadership content and events SparkLive - The digitisation of company results presentations, roadshows (both deal and non-deal) and AGMsRefinitiv DataWe currently offer limited data points through the platform that includes, price charts, volumes, volatility, shareholder sentiment analysis. We are in the process of significantly enhancing the data that is provided through the addition of Refinitiv data. This data will give the investor relations and treasury teams and members of the c-suite a data workflow that will assist them in their roles and give insights that are specifically aimed at public companies initially. Data will include, ESG data, deals intelligence, research and more. This will also be augmented with alerts and front-end functionality. The ambition is to make the platform daily use rather than weekly or monthly use driven by these valuable data insights.Investor Relations ToolsThrough Issuer Services corporates can update their company profile page on This allows them to access millions of unique visitors that visit the company profile pages each month. Through the platform issuers can add branding, social media, reports, equity research, events, IR contacts and more. This has offered issuers and advisors a distribution channel to retail investorsWe have augmented this through SparkLive our live streaming and webinar product: (). Through SparkLive we give our issuers and pre-IPO companies the opportunity to livestream and host on demand their corporate presentations including capital markets days, results presentations, AGMs and roadshows in the public domain and also through a private link. We distribute the livestreams through SparkLive and also through to capitalise on our distribution capabilities. We have leveraged Refinitiv distribution through workspace so that presentations are distributed to thousands of institutional buyside firms. We have confirmed the initial traction of the product and we are now looking to grow its commercial successMarketplaceThe Marketplace is a curated list of service providers and advisors that offer there services to corporate clients. The marketplace comprises 65 members and we are aiming to grow this number to 75 by the end of the year. Each of the members has a personalised profile page that is edited and created by each firm through an individual CMS. The marketplace member also has the opportunity to publish content through a range of webinars or articles onto Spark to communicate with our Issuers.Marketplace members range from small technology or data firms through to more traditional law firms or registrars who offer services in the capital market space. Each Marketplace member pays an annual fee to be a member of the marketplace. We see the growth of the marketplace and its combination with content distribution as a key driver for Issuer Services growth.Key Responsibilities:Leading the design process from start to finish for a responsive web applicationProducing low fidelity wireframes, high fidelity pixel-perfect designs as well as clickable prototypesBeing responsible for the creation and excellence of user journeysOwning, maintaining, and continually improving the Issuer Services Design System - including collaborating with developers to maintain and enhance an HTML component libraryGuiding developers and testers day-to-day when UX and UI decisions need to be made during implementationPerforming testing to ensure designs are effectively implementedCollaborating with developers and product managers on understanding the trade-off between designsSupporting other Scrum Team members in the writing, splitting, and detailing of user stories. At times, the designer may need to document the 'business rules' behind their designsSpecifying the details of UI and micro-interactions to developers and testersCollaborate with product managers, business analysts, developers, testers, another designer, marketeers as well as end users and internal business stakeholders to find solutions to both user and business problemsBreaking down the 'end design' into incremental releases and ensuring that each release works well on its ownMicro-copywriting for the product day to day and ensuring tone-of-voice consistency across the platformGathering feedback for designs from a wide range of partners. Running design critiques and workshopsPerforming desk-based competitor research as well as interviewing users. Continually developing user personas when new information is knownKey behaviours and skills:Professional experienceConsistent record of designing complex, responsive, web-based features from start (i.e. inception) to finish (i.e. launch). Candidates will be expected to share their portfolio with the hiring managers ahead of interviewsDemonstrable experience of taking a significant user need or pain-point and figuring out what the solution might beExperience of co-owning and evolving a Design SystemCandidates with limited financial services experience are encouraged to apply. Candidates with a range of years of experience are encouraged to apply. We are looking for individuals that have designed leading products in areas they've worked inUser research is a much smaller aspect of the role than interaction/UX/UI designTechnical skillsFigmaAble to understand backend and architectural issues at a high levelExperience in front end web development would be a plus.JIRA and ConfluenceGoogle AnalyticsDeep knowledge of choosing optimal patternsKnowledge of human computer interactionSoft SkillsPassionate about design and web applicationsExcellent communication, presentation, collaboration, and creative thinking skillsAbility to work in an Agile product development/design environmentOtherExperience designing news, blogging, video streaming, ecommerce and data visualisation products would be a plusExperience of Storybook.js would be a plusBenefits:We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!We maximise each employee's potential through personal development through a wide range of learning tools both formal and informal. We believe in remunerating our people with competitive salaries and a range of attractive benefits such as:25 days' holiday per year1 additional day off for your BirthdayAnnual wellness allowanceShare Purchase PlanMedical Health InsuranceMedical Subscription (preventive medical services)Life insurancePillar 3 Private PensionMeal VouchersFlexible BenefitsBooksterVolunteering EventsAll LSEG colleagues with at least one year's continuous service, who become parents, are now entitled to at least 26 weeks' paid leave, and the option to return to work on a phased basis, in relation with specific company's policy and guidelinesCareer Stage:Senior AssociateLondon Stock Exchange Group (LSEG) Information:Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider . click apply for full job details
03/06/2026
Full time
About Us:LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific.Proud to share LSEG in Romania is Great Place to Work certified (Sept '24 - Sept '25). Learn more about life and purpose of our company directly from the Romanian colleagues' video: Bucharest, Romania Where We Work LSEGRole Description:The Issuer Services team sits within the Capital Markets team of the London Stock Exchange. The team's mandate is to build and maintain relationships with current and future issuers and intermediaries. As part of this, the team builds digital products and services for issuers and the broader financial ecosystem within the Issuer Services platform: have been careful to maintain our neutral position within the financial ecosystem and we are aiming to build an infrastructure that reflects this and digitises workflows for issuers and intermediaries.Each of our issuers automatically gets a log-in for the platform. In addition to this we have built and continue to build out our capability for non-London listed clients to access the platform and services.Our core clients are the Investor Relations teams, intermediaries and the c-suite within public and private companies. We aim to offer them a range of products and services through the platform, that is split across five broad areas:Company profile page on Intelligence - data and analytics solutions Marketplace - LSE and third party service providers presented to issuers Spark - Thought leadership content and events SparkLive - The digitisation of company results presentations, roadshows (both deal and non-deal) and AGMsRefinitiv DataWe currently offer limited data points through the platform that includes, price charts, volumes, volatility, shareholder sentiment analysis. We are in the process of significantly enhancing the data that is provided through the addition of Refinitiv data. This data will give the investor relations and treasury teams and members of the c-suite a data workflow that will assist them in their roles and give insights that are specifically aimed at public companies initially. Data will include, ESG data, deals intelligence, research and more. This will also be augmented with alerts and front-end functionality. The ambition is to make the platform daily use rather than weekly or monthly use driven by these valuable data insights.Investor Relations ToolsThrough Issuer Services corporates can update their company profile page on This allows them to access millions of unique visitors that visit the company profile pages each month. Through the platform issuers can add branding, social media, reports, equity research, events, IR contacts and more. This has offered issuers and advisors a distribution channel to retail investorsWe have augmented this through SparkLive our live streaming and webinar product: (). Through SparkLive we give our issuers and pre-IPO companies the opportunity to livestream and host on demand their corporate presentations including capital markets days, results presentations, AGMs and roadshows in the public domain and also through a private link. We distribute the livestreams through SparkLive and also through to capitalise on our distribution capabilities. We have leveraged Refinitiv distribution through workspace so that presentations are distributed to thousands of institutional buyside firms. We have confirmed the initial traction of the product and we are now looking to grow its commercial successMarketplaceThe Marketplace is a curated list of service providers and advisors that offer there services to corporate clients. The marketplace comprises 65 members and we are aiming to grow this number to 75 by the end of the year. Each of the members has a personalised profile page that is edited and created by each firm through an individual CMS. The marketplace member also has the opportunity to publish content through a range of webinars or articles onto Spark to communicate with our Issuers.Marketplace members range from small technology or data firms through to more traditional law firms or registrars who offer services in the capital market space. Each Marketplace member pays an annual fee to be a member of the marketplace. We see the growth of the marketplace and its combination with content distribution as a key driver for Issuer Services growth.Key Responsibilities:Leading the design process from start to finish for a responsive web applicationProducing low fidelity wireframes, high fidelity pixel-perfect designs as well as clickable prototypesBeing responsible for the creation and excellence of user journeysOwning, maintaining, and continually improving the Issuer Services Design System - including collaborating with developers to maintain and enhance an HTML component libraryGuiding developers and testers day-to-day when UX and UI decisions need to be made during implementationPerforming testing to ensure designs are effectively implementedCollaborating with developers and product managers on understanding the trade-off between designsSupporting other Scrum Team members in the writing, splitting, and detailing of user stories. At times, the designer may need to document the 'business rules' behind their designsSpecifying the details of UI and micro-interactions to developers and testersCollaborate with product managers, business analysts, developers, testers, another designer, marketeers as well as end users and internal business stakeholders to find solutions to both user and business problemsBreaking down the 'end design' into incremental releases and ensuring that each release works well on its ownMicro-copywriting for the product day to day and ensuring tone-of-voice consistency across the platformGathering feedback for designs from a wide range of partners. Running design critiques and workshopsPerforming desk-based competitor research as well as interviewing users. Continually developing user personas when new information is knownKey behaviours and skills:Professional experienceConsistent record of designing complex, responsive, web-based features from start (i.e. inception) to finish (i.e. launch). Candidates will be expected to share their portfolio with the hiring managers ahead of interviewsDemonstrable experience of taking a significant user need or pain-point and figuring out what the solution might beExperience of co-owning and evolving a Design SystemCandidates with limited financial services experience are encouraged to apply. Candidates with a range of years of experience are encouraged to apply. We are looking for individuals that have designed leading products in areas they've worked inUser research is a much smaller aspect of the role than interaction/UX/UI designTechnical skillsFigmaAble to understand backend and architectural issues at a high levelExperience in front end web development would be a plus.JIRA and ConfluenceGoogle AnalyticsDeep knowledge of choosing optimal patternsKnowledge of human computer interactionSoft SkillsPassionate about design and web applicationsExcellent communication, presentation, collaboration, and creative thinking skillsAbility to work in an Agile product development/design environmentOtherExperience designing news, blogging, video streaming, ecommerce and data visualisation products would be a plusExperience of Storybook.js would be a plusBenefits:We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!We maximise each employee's potential through personal development through a wide range of learning tools both formal and informal. We believe in remunerating our people with competitive salaries and a range of attractive benefits such as:25 days' holiday per year1 additional day off for your BirthdayAnnual wellness allowanceShare Purchase PlanMedical Health InsuranceMedical Subscription (preventive medical services)Life insurancePillar 3 Private PensionMeal VouchersFlexible BenefitsBooksterVolunteering EventsAll LSEG colleagues with at least one year's continuous service, who become parents, are now entitled to at least 26 weeks' paid leave, and the option to return to work on a phased basis, in relation with specific company's policy and guidelinesCareer Stage:Senior AssociateLondon Stock Exchange Group (LSEG) Information:Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider . click apply for full job details
A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Backend Software Engineers at Palantir build software at scale to transform how organizations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Our Product Development organization is made up of small teams of Software Engineers. Each team focuses on a specific aspect of a product. Our infrastructure teams are responsible for the lowest layers of our software stack, often focused on database technologies, distributed systems, large scale data systems, security, and application infrastructure. As a Software Engineer on infrastructure, you'll contribute high-quality code to underpin Palantir Foundry and Gotham with performant, secure, and scalable building blocks, enabling products deployed to the most important institutions in the public and private sector. You'll build the foundational capabilities that power our products used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world. We're hiring engineers who are passionate about solving real-world problems and empowering both developers and end-users to work optimally. If you're motivated to develop reliable, performant, and scalable systems, and to design robust APIs and primitives, this role offers the opportunity to make a significant impact on our products and the people who use them. Frontline Foundry Software Engineers may be offered the opportunity to Frontline, an exclusive program unlike any other. This unique, short-term assignment involves being embedded with customers, allowing you to work directly with users and gain firsthand insight into how our products are used and the challenges our customers face. Unlike traditional engineering roles, Frontline immerses you in complex, ambiguous problems, empowering you to deliver impactful solutions across some of the world's most important industries and institutions. Some of our most successful products were built on the factory floor, addressing real-world problems for the world's most important institutions. These products were developed by some of our most successful product engineers, who began their careers in roles aligned with Frontline responsibilities, gaining a deep understanding of both our technology and our customers. Frontliners operate across a broad spectrum of responsibilities, much like a startup CTO. They work in small teams to own the end-to-end execution of high-stakes projects. This spectrum ranges from discussing architecture and building custom web apps to conducting workshops with users and strategizing with customer executives. No two days are alike, as each day is diverse and impactful. By witnessing how customers engage with Foundry and experiencing these pain points firsthand, you'll gain unique insights that feed directly back into our development process, helping to refine and enhance our products. Core Responsibilities Building a performant search and indexing ecosystem for complex granularly permissioned data Contributing to open-source data processing libraries, integrating the latest innovations to achieve performance gains Building the distributed systems that power large scale compute workloads, orchestrating and efficiently scheduling hundreds of thousands of containers every hour Designing architecture and opinionated APIs to keep application developers on the happy path Tracing and performance observability in high scale distributed microservice architectures Building reliant, performant, and scalable systems for storage, auth, or asset serving to enable other product teams to build robust applications without deep domain expertise in the underlying systems Automating the deployment, management, and operations of complex distributed systems like Cassandra, Elasticsearch, Kafka, and more across different environments Technologies We Use Different backend languages, including Java, Rust, and Go Open-source technologies like Cassandra, ElasticSearch, Spark, Kafka, Kubernetes, Flink Industry-standard build tooling, including Gradle and GitHub What We Value Demonstrated ability to collaborate and empathise with a variety of individuals. Able to iterate with users and non-technical stakeholders and understand how technical decisions impact them. Ability to learn new technology and concepts, even without in-depth experience. Experience developing and managing highly-available distributed systems is beneficial, but not required. Bias towards quality and thoughtful about edge cases ("anything that can go wrong will go wrong"); writes code that is defensive against all possibilities. Builds solutions and APIs with users in mind while maintaining a high engineering bar. Seeks to centralise and abstract complexity away from our users in order to expose simple, powerful APIs for consumers. Active UK Security clearance, or eligibility and willingness to obtain a UK Security clearance is beneficial, but not necessary. What We Require Engineering background in Computer Science, Mathematics, Software Engineering, Physics or similar field. Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, Rust, or similar languages. Familiarity with storage and data processing systems, cloud infrastructure, and other technical tools. Strong written and verbal communication skills and ability to iterate quickly with teammates, incorporating feedback and holding a high bar for quality. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.
03/06/2026
Full time
A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Backend Software Engineers at Palantir build software at scale to transform how organizations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Our Product Development organization is made up of small teams of Software Engineers. Each team focuses on a specific aspect of a product. Our infrastructure teams are responsible for the lowest layers of our software stack, often focused on database technologies, distributed systems, large scale data systems, security, and application infrastructure. As a Software Engineer on infrastructure, you'll contribute high-quality code to underpin Palantir Foundry and Gotham with performant, secure, and scalable building blocks, enabling products deployed to the most important institutions in the public and private sector. You'll build the foundational capabilities that power our products used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world. We're hiring engineers who are passionate about solving real-world problems and empowering both developers and end-users to work optimally. If you're motivated to develop reliable, performant, and scalable systems, and to design robust APIs and primitives, this role offers the opportunity to make a significant impact on our products and the people who use them. Frontline Foundry Software Engineers may be offered the opportunity to Frontline, an exclusive program unlike any other. This unique, short-term assignment involves being embedded with customers, allowing you to work directly with users and gain firsthand insight into how our products are used and the challenges our customers face. Unlike traditional engineering roles, Frontline immerses you in complex, ambiguous problems, empowering you to deliver impactful solutions across some of the world's most important industries and institutions. Some of our most successful products were built on the factory floor, addressing real-world problems for the world's most important institutions. These products were developed by some of our most successful product engineers, who began their careers in roles aligned with Frontline responsibilities, gaining a deep understanding of both our technology and our customers. Frontliners operate across a broad spectrum of responsibilities, much like a startup CTO. They work in small teams to own the end-to-end execution of high-stakes projects. This spectrum ranges from discussing architecture and building custom web apps to conducting workshops with users and strategizing with customer executives. No two days are alike, as each day is diverse and impactful. By witnessing how customers engage with Foundry and experiencing these pain points firsthand, you'll gain unique insights that feed directly back into our development process, helping to refine and enhance our products. Core Responsibilities Building a performant search and indexing ecosystem for complex granularly permissioned data Contributing to open-source data processing libraries, integrating the latest innovations to achieve performance gains Building the distributed systems that power large scale compute workloads, orchestrating and efficiently scheduling hundreds of thousands of containers every hour Designing architecture and opinionated APIs to keep application developers on the happy path Tracing and performance observability in high scale distributed microservice architectures Building reliant, performant, and scalable systems for storage, auth, or asset serving to enable other product teams to build robust applications without deep domain expertise in the underlying systems Automating the deployment, management, and operations of complex distributed systems like Cassandra, Elasticsearch, Kafka, and more across different environments Technologies We Use Different backend languages, including Java, Rust, and Go Open-source technologies like Cassandra, ElasticSearch, Spark, Kafka, Kubernetes, Flink Industry-standard build tooling, including Gradle and GitHub What We Value Demonstrated ability to collaborate and empathise with a variety of individuals. Able to iterate with users and non-technical stakeholders and understand how technical decisions impact them. Ability to learn new technology and concepts, even without in-depth experience. Experience developing and managing highly-available distributed systems is beneficial, but not required. Bias towards quality and thoughtful about edge cases ("anything that can go wrong will go wrong"); writes code that is defensive against all possibilities. Builds solutions and APIs with users in mind while maintaining a high engineering bar. Seeks to centralise and abstract complexity away from our users in order to expose simple, powerful APIs for consumers. Active UK Security clearance, or eligibility and willingness to obtain a UK Security clearance is beneficial, but not necessary. What We Require Engineering background in Computer Science, Mathematics, Software Engineering, Physics or similar field. Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, Rust, or similar languages. Familiarity with storage and data processing systems, cloud infrastructure, and other technical tools. Strong written and verbal communication skills and ability to iterate quickly with teammates, incorporating feedback and holding a high bar for quality. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.
Job Description We're looking for a Lead Data Analyst passionate about our mission of Money Without Borders to partner with our operational teams to help drive data driven decisions that support our fast growing product through scaling and optimizing the team. As a Lead Data Analyst, you will drive our analytics efforts in operations teams, supporting customers, screening for criminal activity, and verifying customer identities at scale. You'll collaborate closely with operational leads, product managers, designers, engineers, workforce management, quality, training, and knowledge management to translate insights into real change. Responsibilities Analytical Capacity Planning and Forecasting - Build and refine analytical models for strategic capacity planning and lead forecasting to align with business growth. Data Pipeline Ownership - Own data pipelines to maintain and improve data flow, ensuring reliability and accuracy. Predictive Modeling and Cause and Effect Analysis - Develop robust models to predict outcomes and conduct cause and effect analysis to identify key drivers, optimize processes, and enhance decision making. Strategic Support and Analysis - Provide critical insights to assess operational health, perform cost analysis, and analyze operational metrics, including quality, to understand customer impact. Performance Tracking and Initiative Optimisation - Monitor and track performance of key initiatives, capitalize on optimisation opportunities to improve outcomes. KPI Implementation and Target Setting - Lead development and implementation of the operations KPI tree and target setting framework, integrating within reporting pipelines. Stakeholder Collaboration and Process Standardisation - Work with stakeholders to standardise processes across forecasting, scheduling, and real time operations, promoting continuous improvement. Qualifications Quantitative Foundation - Background in statistics, maths, physics, engineering, economics, or another scientific field. Statistical Mindset - Grasp of data logic, understanding distributions, variance, and significance; can separate signal from noise. 4+ years of analytics experience with a strategic mindset, delivering operational improvements. Experience in operational analytics: capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, experimentation. Proficient in complex data models in SQL (Snowflake) and advanced SQL/Python/R. Ability to tell a story and proactively advise strategy based on insights. Experience with data visualisation tools such as Looker, PowerBI, Tableau, and storytelling ability. Bias to action - identify needed work and make it happen. Extra skills (not essential) - Prior experience in Operations domains, WFM or Quality teams, forecasting techniques (ARIMA, Holt Winters, time series methods). What do we offer Salary: £75,000 - £115,000 Company Restricted Stock Units Numerous great benefits in our London office Key benefits Hybrid working + MobileWiser - work from anywhere up to 90 days a year Paid annual holiday, sick days, parental leave, and other leave opportunities 6 weeks of paid sabbatical after 4 years at Wise, on top of annual leave
03/06/2026
Full time
Job Description We're looking for a Lead Data Analyst passionate about our mission of Money Without Borders to partner with our operational teams to help drive data driven decisions that support our fast growing product through scaling and optimizing the team. As a Lead Data Analyst, you will drive our analytics efforts in operations teams, supporting customers, screening for criminal activity, and verifying customer identities at scale. You'll collaborate closely with operational leads, product managers, designers, engineers, workforce management, quality, training, and knowledge management to translate insights into real change. Responsibilities Analytical Capacity Planning and Forecasting - Build and refine analytical models for strategic capacity planning and lead forecasting to align with business growth. Data Pipeline Ownership - Own data pipelines to maintain and improve data flow, ensuring reliability and accuracy. Predictive Modeling and Cause and Effect Analysis - Develop robust models to predict outcomes and conduct cause and effect analysis to identify key drivers, optimize processes, and enhance decision making. Strategic Support and Analysis - Provide critical insights to assess operational health, perform cost analysis, and analyze operational metrics, including quality, to understand customer impact. Performance Tracking and Initiative Optimisation - Monitor and track performance of key initiatives, capitalize on optimisation opportunities to improve outcomes. KPI Implementation and Target Setting - Lead development and implementation of the operations KPI tree and target setting framework, integrating within reporting pipelines. Stakeholder Collaboration and Process Standardisation - Work with stakeholders to standardise processes across forecasting, scheduling, and real time operations, promoting continuous improvement. Qualifications Quantitative Foundation - Background in statistics, maths, physics, engineering, economics, or another scientific field. Statistical Mindset - Grasp of data logic, understanding distributions, variance, and significance; can separate signal from noise. 4+ years of analytics experience with a strategic mindset, delivering operational improvements. Experience in operational analytics: capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, experimentation. Proficient in complex data models in SQL (Snowflake) and advanced SQL/Python/R. Ability to tell a story and proactively advise strategy based on insights. Experience with data visualisation tools such as Looker, PowerBI, Tableau, and storytelling ability. Bias to action - identify needed work and make it happen. Extra skills (not essential) - Prior experience in Operations domains, WFM or Quality teams, forecasting techniques (ARIMA, Holt Winters, time series methods). What do we offer Salary: £75,000 - £115,000 Company Restricted Stock Units Numerous great benefits in our London office Key benefits Hybrid working + MobileWiser - work from anywhere up to 90 days a year Paid annual holiday, sick days, parental leave, and other leave opportunities 6 weeks of paid sabbatical after 4 years at Wise, on top of annual leave
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
03/06/2026
Full time
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
CRU International is a leading provider of business intelligence and consulting services in the metals, mining, and fertilizer industries. With over 50 years of experience, we offer valuable insights and analysis that help our clients make informed decisions in an ever-changing global market. About the role CRU Group is seeking a technically strong, hands-on Senior Data Scientist to join a global team focused on building real-world data science and AI solutions for Risk & Trading workflows. This role will span predictive modelling, machine learning, and modern AI systems powered by large language models. This is an opportunity to own projects end-to-end, from problem framing through to production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions. Key Responsibilities Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI. Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies. Develop robust, scalable, production-grade Python code. Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes. Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration. Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions. Mentor team members and contribute to raising standards for technical execution and delivery discipline. Stay current with developments in machine learning, statistical learning, generative AI, LLMs, and agentic workflows, and identify practicalopportunities to apply these technologies within risk and trading services. Qualifications MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar. Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy. Skills & Experience 3-5+ years of experience in data science, machine learning, econometrics, or a related technical field. Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring. Strong exposure to time-series forecasting or commodity data. Creative thinker with a robust approach to data and modelling. Hands-on experience working with machine learning and LLMs. Hands-on experience building AI applications beyond simple chatbot interfaces. Goal-oriented, with a high level of energy and enthusiasm; able to operate efficiently, effectively, and professionally in a fast-paced, dynamic, results-driven business environment. Analytical mindset with the ability to quickly understand the intricacies and complexities of commodity data. Creative application of first principles to problems, with an awareness of business time constraints. Approachable, positive, and collaborative, with a genuine interest in developing the team to be the best in the industry. Lead by example in work ethic and commitment to exceeding client expectations. Strong commitment to sharing knowledge and ideas in a constructive and supportive way, with the ability to mentor more junior talent. Delivery-focused, with a passion for quality and innovation, and a flexible, adaptable attitude willing to accept and drive change. Familiarity with Snowflake, AWS, and GCP, or equivalent cloud infrastructure. Strong understanding of modern machine learning workflows and production deployment considerations, including orchestration tools. What We Offer Competitive salary and flexible benefits package. Opportunities for professional growth and development as part of a global company. A collaborative and supportive work environment. The chance to work with industry-leading experts and over a diverse range of topics and projects. Join the Team This is an opportunity to own projects end-to-end, from problem framing through to production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions as a Senior Data Scientist.
03/06/2026
Full time
CRU International is a leading provider of business intelligence and consulting services in the metals, mining, and fertilizer industries. With over 50 years of experience, we offer valuable insights and analysis that help our clients make informed decisions in an ever-changing global market. About the role CRU Group is seeking a technically strong, hands-on Senior Data Scientist to join a global team focused on building real-world data science and AI solutions for Risk & Trading workflows. This role will span predictive modelling, machine learning, and modern AI systems powered by large language models. This is an opportunity to own projects end-to-end, from problem framing through to production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions. Key Responsibilities Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI. Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies. Develop robust, scalable, production-grade Python code. Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes. Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration. Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions. Mentor team members and contribute to raising standards for technical execution and delivery discipline. Stay current with developments in machine learning, statistical learning, generative AI, LLMs, and agentic workflows, and identify practicalopportunities to apply these technologies within risk and trading services. Qualifications MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar. Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy. Skills & Experience 3-5+ years of experience in data science, machine learning, econometrics, or a related technical field. Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring. Strong exposure to time-series forecasting or commodity data. Creative thinker with a robust approach to data and modelling. Hands-on experience working with machine learning and LLMs. Hands-on experience building AI applications beyond simple chatbot interfaces. Goal-oriented, with a high level of energy and enthusiasm; able to operate efficiently, effectively, and professionally in a fast-paced, dynamic, results-driven business environment. Analytical mindset with the ability to quickly understand the intricacies and complexities of commodity data. Creative application of first principles to problems, with an awareness of business time constraints. Approachable, positive, and collaborative, with a genuine interest in developing the team to be the best in the industry. Lead by example in work ethic and commitment to exceeding client expectations. Strong commitment to sharing knowledge and ideas in a constructive and supportive way, with the ability to mentor more junior talent. Delivery-focused, with a passion for quality and innovation, and a flexible, adaptable attitude willing to accept and drive change. Familiarity with Snowflake, AWS, and GCP, or equivalent cloud infrastructure. Strong understanding of modern machine learning workflows and production deployment considerations, including orchestration tools. What We Offer Competitive salary and flexible benefits package. Opportunities for professional growth and development as part of a global company. A collaborative and supportive work environment. The chance to work with industry-leading experts and over a diverse range of topics and projects. Join the Team This is an opportunity to own projects end-to-end, from problem framing through to production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions as a Senior Data Scientist.
Senior / Lead Data Scientist, Product Analytics Office: United Kingdom Remote: UK About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About the role As a Senior / Lead Data Scientist in Product Analytics you'll be at the centre of strategic decision making within your team. Working as part of a cross functional squad alongside product managers, designers, and engineers, you'll apply your expertise to drive the future of what we build at Cleo. You will leverage rich user data and sophisticated analytical techniques to see your insights turned into real products. You'll also sit within the wider data science function here at Cleo; a hotshot team of 80 Product Analysts, Analytics Engineers, and Machine Learning Engineers, with significant industry experience that are at the heart of everything we do at Cleo. We are looking for a self starter, focused on results, with a demonstrated success in using analytics to drive the understanding, growth, and success of a product. What you'll be doing Conducting deep dive analysis in your product domain to understand user behaviour Working with Product, Machine Learning, Design, and Engineering team members in your area to build an insight driven product strategy that leads to high impact outcomes. Influencing the roadmap of your team through presentation of data based recommendations Defining how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters Conducting regular A/B tests and causal analyses to determine the impact of product changes on success metrics Building models of user segmentation, marketing attribution, customer lifetime value, etc. Working with Analytics Engineering to prioritise data modelling needs in your area as well as directly contributing to our transformed data codebase What we're looking for 5+ years of experience doing quantitative analysis within a digital product environment Experience conducting large scale A/B experiments and interpreting results to drive product and business decisions Ability to define new product metrics from complex, unstructured data Excellent SQL skills Fluency in Python and its application in data analysis is a nice to have, but not essential Knowledge of statistics (e.g. hypothesis testing, regressions) Strong communication skills, with the ability to work fluidly across technical and non technical teams. Hands on experience with BI tools (e.g. Looker, Mode, Tableau) and data workflow tools (dbt, Airflow). A bias for action and ownership, you're excited to build from scratch, own it end to end, and deliver value fast. What do you get for all your hard work? A competitive compensation package (base + equity) with termly reviews, aligned to our OKR planning cycles. This is an AX3 or AX4 level role. AX3 banding: £74,266 - £96,126 Hybrid London or £69,699 - £90,657 UK Remote AX4 banding: £94,059 - £119,128 Hybrid London or £88,938 - £113,489 UK Remote Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work. Work where you work best. We're a globally distributed team. If you live in London, we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Other benefits Company wide performance reviews every 4 months Generous pay increases for high performing team members Equity top ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 6% employer matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme And many more! Welcoming everyone We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know.
03/06/2026
Full time
Senior / Lead Data Scientist, Product Analytics Office: United Kingdom Remote: UK About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About the role As a Senior / Lead Data Scientist in Product Analytics you'll be at the centre of strategic decision making within your team. Working as part of a cross functional squad alongside product managers, designers, and engineers, you'll apply your expertise to drive the future of what we build at Cleo. You will leverage rich user data and sophisticated analytical techniques to see your insights turned into real products. You'll also sit within the wider data science function here at Cleo; a hotshot team of 80 Product Analysts, Analytics Engineers, and Machine Learning Engineers, with significant industry experience that are at the heart of everything we do at Cleo. We are looking for a self starter, focused on results, with a demonstrated success in using analytics to drive the understanding, growth, and success of a product. What you'll be doing Conducting deep dive analysis in your product domain to understand user behaviour Working with Product, Machine Learning, Design, and Engineering team members in your area to build an insight driven product strategy that leads to high impact outcomes. Influencing the roadmap of your team through presentation of data based recommendations Defining how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters Conducting regular A/B tests and causal analyses to determine the impact of product changes on success metrics Building models of user segmentation, marketing attribution, customer lifetime value, etc. Working with Analytics Engineering to prioritise data modelling needs in your area as well as directly contributing to our transformed data codebase What we're looking for 5+ years of experience doing quantitative analysis within a digital product environment Experience conducting large scale A/B experiments and interpreting results to drive product and business decisions Ability to define new product metrics from complex, unstructured data Excellent SQL skills Fluency in Python and its application in data analysis is a nice to have, but not essential Knowledge of statistics (e.g. hypothesis testing, regressions) Strong communication skills, with the ability to work fluidly across technical and non technical teams. Hands on experience with BI tools (e.g. Looker, Mode, Tableau) and data workflow tools (dbt, Airflow). A bias for action and ownership, you're excited to build from scratch, own it end to end, and deliver value fast. What do you get for all your hard work? A competitive compensation package (base + equity) with termly reviews, aligned to our OKR planning cycles. This is an AX3 or AX4 level role. AX3 banding: £74,266 - £96,126 Hybrid London or £69,699 - £90,657 UK Remote AX4 banding: £94,059 - £119,128 Hybrid London or £88,938 - £113,489 UK Remote Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work. Work where you work best. We're a globally distributed team. If you live in London, we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Other benefits Company wide performance reviews every 4 months Generous pay increases for high performing team members Equity top ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 6% employer matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme And many more! Welcoming everyone We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know.
Limelight Health is seeking a Senior Data Analyst to lead strategic analysis and drive data-informed decision-making across marketing and product teams. The role involves translating complex data into actionable insights, building scalable analytics solutions, and partnering with senior stakeholders to measure performance. The ideal candidate should possess advanced SQL and BI tool experience, with excellent analytical capabilities and a passion for data storytelling. This position offers opportunities to drive significant business impact and enhance analytics practices.
02/06/2026
Full time
Limelight Health is seeking a Senior Data Analyst to lead strategic analysis and drive data-informed decision-making across marketing and product teams. The role involves translating complex data into actionable insights, building scalable analytics solutions, and partnering with senior stakeholders to measure performance. The ideal candidate should possess advanced SQL and BI tool experience, with excellent analytical capabilities and a passion for data storytelling. This position offers opportunities to drive significant business impact and enhance analytics practices.
Central London, SouthEast WC1, United Kingdom Full-time Permanent Mid-level Senior ABOUT THE ROLE At PMY Group, we power some of the world's most exciting environments - from elite sport and major events to education and public sector innovation. We're looking for a Performance Data Scientist to join our London-based EMEA team. This is a unique opportunity to combine cutting edge data science with real world sports performance impact. You'll work side by side with coaches, analysts, sports scientists, and technical teams to turn complex data into clear, actionable decisions that improve athlete readiness, reduce injury risk, and optimise performance. If you enjoy solving real problems (not just building models in isolation), this role is for you. WHAT YOU'LL DO Turn Data into Performance Impact Analyse training, wellness, tracking, tactical, and medical data Identify trends, risks, and performance drivers Deliver insights that directly influence coaching decisions Build Smart, Practical Models Develop machine learning and statistical models (forecasting, classification, optimisation) Work with real world, imperfect data Ensure models are explainable, reliable, and usable in practice Collaborate with Sporting Stakeholders Partner with coaches, analysts, and sports science teams Translate performance questions into analytical solutions Clearly explain insights, assumptions, and trade offs Create Insight Products Contribute to dashboards, scoring tools, and decision support applications Help define KPIs and athlete performance metrics Turn analysis into tools people use Drive Quality & Innovation Apply best practices in validation, testing, and reproducibility Improve data quality and analytical processes over time Help build scalable, trusted performance analytics capabilities WHAT WE ARE LOOKING FOR 4-8 years' experience in data science, sports analytics, or performance analytics Strong skills in Python and SQL Experience with machine learning, time series analysis, or forecasting Ability to work with messy, real world datasets Confidence working with non technical stakeholders Strong communication and storytelling skills Nice to have: Experience in athlete monitoring, tracking data, or sports science Exposure to cloud based analytics environments Experience building dashboards or data products Consulting or client facing experience WHY PMY? Growth: Scale your career with diverse projects and continuous learning. Flexibility: Embrace a work life balance with flexible hours and remote work opportunities. Impact: Your work directly transforms the venue experience for millions. Culture: Collaborate with a passionate team in a dynamic, innovative environment. Benefits: Competitive compensation, fun team events and opportunities for personal and professional growth. We strive to build a team that reflects the diversity of the communities we work in. We welcome and encourage applications from traditionally underrepresented groups in the technology industry, including women, older people, people with a disability and ethnic minorities.
02/06/2026
Full time
Central London, SouthEast WC1, United Kingdom Full-time Permanent Mid-level Senior ABOUT THE ROLE At PMY Group, we power some of the world's most exciting environments - from elite sport and major events to education and public sector innovation. We're looking for a Performance Data Scientist to join our London-based EMEA team. This is a unique opportunity to combine cutting edge data science with real world sports performance impact. You'll work side by side with coaches, analysts, sports scientists, and technical teams to turn complex data into clear, actionable decisions that improve athlete readiness, reduce injury risk, and optimise performance. If you enjoy solving real problems (not just building models in isolation), this role is for you. WHAT YOU'LL DO Turn Data into Performance Impact Analyse training, wellness, tracking, tactical, and medical data Identify trends, risks, and performance drivers Deliver insights that directly influence coaching decisions Build Smart, Practical Models Develop machine learning and statistical models (forecasting, classification, optimisation) Work with real world, imperfect data Ensure models are explainable, reliable, and usable in practice Collaborate with Sporting Stakeholders Partner with coaches, analysts, and sports science teams Translate performance questions into analytical solutions Clearly explain insights, assumptions, and trade offs Create Insight Products Contribute to dashboards, scoring tools, and decision support applications Help define KPIs and athlete performance metrics Turn analysis into tools people use Drive Quality & Innovation Apply best practices in validation, testing, and reproducibility Improve data quality and analytical processes over time Help build scalable, trusted performance analytics capabilities WHAT WE ARE LOOKING FOR 4-8 years' experience in data science, sports analytics, or performance analytics Strong skills in Python and SQL Experience with machine learning, time series analysis, or forecasting Ability to work with messy, real world datasets Confidence working with non technical stakeholders Strong communication and storytelling skills Nice to have: Experience in athlete monitoring, tracking data, or sports science Exposure to cloud based analytics environments Experience building dashboards or data products Consulting or client facing experience WHY PMY? Growth: Scale your career with diverse projects and continuous learning. Flexibility: Embrace a work life balance with flexible hours and remote work opportunities. Impact: Your work directly transforms the venue experience for millions. Culture: Collaborate with a passionate team in a dynamic, innovative environment. Benefits: Competitive compensation, fun team events and opportunities for personal and professional growth. We strive to build a team that reflects the diversity of the communities we work in. We welcome and encourage applications from traditionally underrepresented groups in the technology industry, including women, older people, people with a disability and ethnic minorities.
About The Role FDM is a global business and technology consultancy seeking a Data Analyst to work for our client within the Financial Services sector. This is initially a 6 month contract with the potential to extend and will be a hybrid role that will be based in Glasgow . You will take end-to-end ownership of developing and optimising Power BI dashboards, transforming data into clear, decision-ready insights. Working within a collaborative, small-team environment, they will partner closely with stakeholders to deliver accurate, scalable MI solutions while continuously improving data models, processes, and reporting standards. Emphasis is placed on accountability, innovation, and fostering strong data literacy across the organisation. Responsibilities: End-to-End MI Development: Design, develop, and maintain high-quality Power BI dashboards and reports, from data sourcing and modelling through to insight delivery and ongoing optimisation. Small-Team Collaboration: Work closely with analysts, engineers, product managers, and business stakeholders to understand reporting needs and deliver meaningful, decision-ready insights in a collaborative environment. Ownership & Accountability: Take responsibility for data accuracy, report performance, and MI standards, ensuring trusted, robust, and well-governed analytics solutions. Insight, Scalability & Innovation: Continuously improve data models, reporting processes, and visualisations as the business scales, introducing automation and best practices where appropriate. Knowledge Sharing & Data Literacy: Contribute to a culture of analytical excellence by sharing best practices, supporting colleagues, and improving data understanding across the organisation. About You 3-5+ years of experience in data analysis or MI development, ideally within financial services, fintech, or another regulated environment. Strong Power BI expertise, including report and dashboard development, data modelling, DAX, and Power Query, with a focus on performance and usability. Solid SQL skills and experience working with relational databases, data warehouses, and multiple data sources. Comfortable working in a small-team environment, demonstrating strong collaboration, adaptability, and the ability to work directly with business and technical stakeholders. Experience delivering trusted MI in regulated environments, with an understanding of data governance, security, and quality controls. Analytical, detail-oriented mindset, with the ability to translate complex data into clear, actionable insights. Passion for data-driven decision-making, with a strong focus on accuracy, clarity, and delivering meaningful business value through analytics. About Us FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK 'Best Employer'. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us? Career coaching, mentoring and access to upskilling throughout your entire FDM career Initial upskilling pre-assignment that has been accredited by TechSkills Assignments with global companies and opportunities to work abroad Opportunity to obtain certifications from Microsoft, Salesforce, Cisco and more
01/06/2026
Contractor
About The Role FDM is a global business and technology consultancy seeking a Data Analyst to work for our client within the Financial Services sector. This is initially a 6 month contract with the potential to extend and will be a hybrid role that will be based in Glasgow . You will take end-to-end ownership of developing and optimising Power BI dashboards, transforming data into clear, decision-ready insights. Working within a collaborative, small-team environment, they will partner closely with stakeholders to deliver accurate, scalable MI solutions while continuously improving data models, processes, and reporting standards. Emphasis is placed on accountability, innovation, and fostering strong data literacy across the organisation. Responsibilities: End-to-End MI Development: Design, develop, and maintain high-quality Power BI dashboards and reports, from data sourcing and modelling through to insight delivery and ongoing optimisation. Small-Team Collaboration: Work closely with analysts, engineers, product managers, and business stakeholders to understand reporting needs and deliver meaningful, decision-ready insights in a collaborative environment. Ownership & Accountability: Take responsibility for data accuracy, report performance, and MI standards, ensuring trusted, robust, and well-governed analytics solutions. Insight, Scalability & Innovation: Continuously improve data models, reporting processes, and visualisations as the business scales, introducing automation and best practices where appropriate. Knowledge Sharing & Data Literacy: Contribute to a culture of analytical excellence by sharing best practices, supporting colleagues, and improving data understanding across the organisation. About You 3-5+ years of experience in data analysis or MI development, ideally within financial services, fintech, or another regulated environment. Strong Power BI expertise, including report and dashboard development, data modelling, DAX, and Power Query, with a focus on performance and usability. Solid SQL skills and experience working with relational databases, data warehouses, and multiple data sources. Comfortable working in a small-team environment, demonstrating strong collaboration, adaptability, and the ability to work directly with business and technical stakeholders. Experience delivering trusted MI in regulated environments, with an understanding of data governance, security, and quality controls. Analytical, detail-oriented mindset, with the ability to translate complex data into clear, actionable insights. Passion for data-driven decision-making, with a strong focus on accuracy, clarity, and delivering meaningful business value through analytics. About Us FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK 'Best Employer'. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us? Career coaching, mentoring and access to upskilling throughout your entire FDM career Initial upskilling pre-assignment that has been accredited by TechSkills Assignments with global companies and opportunities to work abroad Opportunity to obtain certifications from Microsoft, Salesforce, Cisco and more
YDU JC Air Cond & Ref Inc.- Dubai
Manchester, Lancashire
Commercial Sales & Service Analyst - Global Marine & Navy Overview As a Commercial Sales & Service Analyst, you will act as a strategic business partner to leadership, translating complex data into clear, actionable insights that drive revenue growth, service productivity, and customer value. You will enable faster and better decision making by delivering data driven recommendations, influencing commercial behaviours, and standardising performance visibility across global markets. Key Responsibilities Customer Analytics (Growth, Retention & Value Creation) Identify and prioritise growth opportunities through segmentation, whitespace analysis, and spend modelling Analyse customer lifecycle, installed base, and service footprint to uncover expansion and retention opportunities Develop account level insights combining performance, pipeline, and activity data Provide "next best actions" to support sales focus and success Embed insights into commercial routines such as account and pipeline reviews Commercial Performance & Pipeline Insight Provide visibility into pipeline health, conversion rates, and backlog performance Deliver insights on win/loss trends, pricing and execution gaps Support improvements in funnel quality, velocity, and forecast accuracy Translate analysis into actions that drive revenue outcomes Service Productivity & Performance Analytics Own and manage global service productivity reporting Define and standardise key performance metrics (utilisation, throughput, backlog, etc.) Deliver weekly and monthly insight packs with clear actions and recommendations Track execution and measure impact of improvement initiatives Headcount, Capacity & Coverage Build and maintain capacity and headcount models aligned to growth targets Identify gaps in coverage, productivity and utilisation Support hiring, territory planning and quota alignment Recommend resource optimisation strategies to leadership Commercial Operating System & Insight Delivery Develop scalable dashboards and insight packs across all GMN regions Standardise KPI definitions, governance and data quality standards Create unified views across ERP and CRM systems Automate reporting to improve speed, accuracy and consistency What You'll Bring Essential Skills: Strong analytical capability with the ability to link data to commercial outcomes Excellent problem solving and structured thinking skills Ability to influence stakeholders and translate insights into action Strong communication and business partnering skills High level of organisation, discipline, and outcome focus Experience & Technical Skills: Proven experience in sales, service or commercial analytics roles Experience working with CRM, ERP, and BI tools (e.g., Salesforce, Power BI, Excel, SQL) Experience delivering insights that drive measurable business performance improvements
01/06/2026
Full time
Commercial Sales & Service Analyst - Global Marine & Navy Overview As a Commercial Sales & Service Analyst, you will act as a strategic business partner to leadership, translating complex data into clear, actionable insights that drive revenue growth, service productivity, and customer value. You will enable faster and better decision making by delivering data driven recommendations, influencing commercial behaviours, and standardising performance visibility across global markets. Key Responsibilities Customer Analytics (Growth, Retention & Value Creation) Identify and prioritise growth opportunities through segmentation, whitespace analysis, and spend modelling Analyse customer lifecycle, installed base, and service footprint to uncover expansion and retention opportunities Develop account level insights combining performance, pipeline, and activity data Provide "next best actions" to support sales focus and success Embed insights into commercial routines such as account and pipeline reviews Commercial Performance & Pipeline Insight Provide visibility into pipeline health, conversion rates, and backlog performance Deliver insights on win/loss trends, pricing and execution gaps Support improvements in funnel quality, velocity, and forecast accuracy Translate analysis into actions that drive revenue outcomes Service Productivity & Performance Analytics Own and manage global service productivity reporting Define and standardise key performance metrics (utilisation, throughput, backlog, etc.) Deliver weekly and monthly insight packs with clear actions and recommendations Track execution and measure impact of improvement initiatives Headcount, Capacity & Coverage Build and maintain capacity and headcount models aligned to growth targets Identify gaps in coverage, productivity and utilisation Support hiring, territory planning and quota alignment Recommend resource optimisation strategies to leadership Commercial Operating System & Insight Delivery Develop scalable dashboards and insight packs across all GMN regions Standardise KPI definitions, governance and data quality standards Create unified views across ERP and CRM systems Automate reporting to improve speed, accuracy and consistency What You'll Bring Essential Skills: Strong analytical capability with the ability to link data to commercial outcomes Excellent problem solving and structured thinking skills Ability to influence stakeholders and translate insights into action Strong communication and business partnering skills High level of organisation, discipline, and outcome focus Experience & Technical Skills: Proven experience in sales, service or commercial analytics roles Experience working with CRM, ERP, and BI tools (e.g., Salesforce, Power BI, Excel, SQL) Experience delivering insights that drive measurable business performance improvements
Job title: Analytics Engineer. Employment type: Full time. Location: Uxbridge with flexibility to work from home. The Data Engineering team has recently undergone a technology transformation, migrating from a legacy data warehouse to a brand new platform built on Snowflake, dbt, Argo Workflows and Kafka. We are looking for an Analytics Engineer to build and maintain scalable data pipelines that serve our analytics applications for Data Science, Machine Learning and Business Intelligence teams. Key Responsibilities Design and implement robust data models (e.g., star schema, snowflake schema, data vault). Develop and maintain dimensional data models to support BI and reporting requirements. Develop and implement analytics solutions to track key performance metrics. Design and build data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources. Develop and maintain data quality checks and validation processes. Automate reports, dashboards, and data visualisations to communicate insights and trends effectively to stakeholders. Build and maintain tooling and frameworks to automate data pipelines for experimentation and machine learning modelling. Develop and maintain a deep understanding of product domains to ensure relevant events are produced and new entities and processes are integrated downstream in the Snowflake data platform model. Monitor and troubleshoot data pipeline issues and provide timely resolution. Collaborate with product managers, data scientists, product analysts and software engineers to identify analytical requirements. Requirements Bachelor's degree in computer science, engineering, mathematics or a related field. 3+ years experience in data/analytics engineering focused on building data pipelines. Proficiency in SQL and experience with Python or Java. Experience with modern cloud data warehouse platforms such as Snowflake, BigQuery, Redshift or similar. Experience with cloud based data platforms, particularly AWS or GCP. Experience with data warehousing, data modelling and ETL development. Strong analytical and communication skills and an understanding of how product performance drives commercial goals. Hands on experience with data visualisation tools such as Tableau, Looker, Streamlit or Power BI. Strong problem solving skills and attention to detail. Preferred Skills Previous experience in similar analytics engineering roles focused on product analytics and data modelling. Experience working with distributed event stores and stream processing platforms such as Kafka or Kinesis. Experience with batch processing frameworks such as dbt, Argo Workflows or Apache Airflow. Familiarity with Docker, Kubernetes and Amazon EKS. Familiarity with continuous integration using GitHub Actions. Familiarity with test driven development and XP practices. Benefits Competitive salary and excellent benefits. Commitment to equity, diversity and inclusion We are an equal opportunity employer and strive to create a fair and inclusive environment where every employee can thrive and bring their whole selves to work. We encourage diverse perspectives and are committed to supporting the growth and success of all team members.
01/06/2026
Full time
Job title: Analytics Engineer. Employment type: Full time. Location: Uxbridge with flexibility to work from home. The Data Engineering team has recently undergone a technology transformation, migrating from a legacy data warehouse to a brand new platform built on Snowflake, dbt, Argo Workflows and Kafka. We are looking for an Analytics Engineer to build and maintain scalable data pipelines that serve our analytics applications for Data Science, Machine Learning and Business Intelligence teams. Key Responsibilities Design and implement robust data models (e.g., star schema, snowflake schema, data vault). Develop and maintain dimensional data models to support BI and reporting requirements. Develop and implement analytics solutions to track key performance metrics. Design and build data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources. Develop and maintain data quality checks and validation processes. Automate reports, dashboards, and data visualisations to communicate insights and trends effectively to stakeholders. Build and maintain tooling and frameworks to automate data pipelines for experimentation and machine learning modelling. Develop and maintain a deep understanding of product domains to ensure relevant events are produced and new entities and processes are integrated downstream in the Snowflake data platform model. Monitor and troubleshoot data pipeline issues and provide timely resolution. Collaborate with product managers, data scientists, product analysts and software engineers to identify analytical requirements. Requirements Bachelor's degree in computer science, engineering, mathematics or a related field. 3+ years experience in data/analytics engineering focused on building data pipelines. Proficiency in SQL and experience with Python or Java. Experience with modern cloud data warehouse platforms such as Snowflake, BigQuery, Redshift or similar. Experience with cloud based data platforms, particularly AWS or GCP. Experience with data warehousing, data modelling and ETL development. Strong analytical and communication skills and an understanding of how product performance drives commercial goals. Hands on experience with data visualisation tools such as Tableau, Looker, Streamlit or Power BI. Strong problem solving skills and attention to detail. Preferred Skills Previous experience in similar analytics engineering roles focused on product analytics and data modelling. Experience working with distributed event stores and stream processing platforms such as Kafka or Kinesis. Experience with batch processing frameworks such as dbt, Argo Workflows or Apache Airflow. Familiarity with Docker, Kubernetes and Amazon EKS. Familiarity with continuous integration using GitHub Actions. Familiarity with test driven development and XP practices. Benefits Competitive salary and excellent benefits. Commitment to equity, diversity and inclusion We are an equal opportunity employer and strive to create a fair and inclusive environment where every employee can thrive and bring their whole selves to work. We encourage diverse perspectives and are committed to supporting the growth and success of all team members.
Role Overview Join the Futures & Derivatives Clearing (FDC) and Equities Operations Program Execution Team, a vital component of the Markets Ops Transformation organization. This hybrid Business Analyst / Project Manager role is critical to driving strategic transformation and delivering Target Operating Models for FDC and Equities Operations within a dynamic, fast-paced environment. Our global organization spans over 60 countries, supporting a comprehensive range of Capital Markets products, including Fixed Income (FX, Rates, Credit, Muni, Cash, and Derivatives), where Citi is a dominant player, and Equities (Cash, Derivatives, Prime Brokerage, Futures, Listed Derivatives, FXPB), an area of significant growth. Job Purpose The Markets Process Engineering team is chartered with designing and delivering a multi-year transformation roadmap for Operations and broader bank stakeholders. This transformation is driven by strategic initiatives, investment change execution, and a market-leading change delivery team focused on program and project management, business analysis, process re-engineering, and low-code application development. The Futures and OTC Clearing franchise, an agency business, provides trading and clearing capabilities across 40+ exchanges for both clients and proprietary lines of business such as Equities, Rates, Commodities, FX, and Prime D1. This business is undergoing a strategic re-engineering of its platforms-a multi-year initiative focused on real-time computation and ambitious goals to establish a more robust, strategic, and well-controlled end-state for Futures and OTC Clearing Operations. We are seeking a dedicated Project/Business Analyst to lead the delivery of these strategic initiatives. This is an exceptional opportunity to contribute to a major Tier 1 program within a growing, global, and dynamic change management team. The role involves close collaboration with the Futures and OTC Clearing business, global operations teams, technology, and downstream functions like finance and regulatory reporting. What you'll do Project Leadership & Execution: Lead end-to-end project lifecycle management from initiation to closure, defining scope, goals, deliverables, timelines, and resource requirements. Ensure successful, on-time delivery that aligns with business objectives and provides robust evidence of completion. Stakeholder Engagement & Communication: Facilitate and lead project meetings (kick-offs, status updates, working groups, governance forums) to foster clear and consistent communication among all project participants. Prepare and deliver senior-level presentations to effectively communicate project progress and insights. Business Analysis & Process Optimization: Conduct in-depth business and data analysis to thoroughly document existing business and operational processes. Identify opportunities for enhancement, design improved workflows, and develop detailed process maps and use cases to support comprehensive business and functional requirements. Risk & Issue Management: Proactively identify, assess, and manage project risks, issues, and dependencies. Develop and implement effective mitigation and contingency plans to ensure project stability. Quality Assurance & UAT: Coordinate and support User Acceptance Testing (UAT) activities, ensuring that developed solutions meet specified business requirements and are fit for purpose. Documentation & Reporting: Create and maintain essential project documentation, including project charters, business requirements, RAID logs (Risks, Assumptions, Issues, Dependencies), and status reports. Cross-Functional Collaboration: Collaborate effectively with stakeholders across Business, Operations, Technology, Compliance, and other functions to ensure seamless project implementation and successful outcomes. Strategic Contribution: Champion change management efforts and actively contribute to additional strategic projects and tasks as required by the organization. What we need from you Experience: Solid and proven experience in Project Management and Business Analysis experience, preferably within the banking sector. Domain Knowledge: Proficient understanding of Exchange Traded Derivatives (ETD) Regulatory Reporting is a significant advantage. Methodologies: Proficient with project life cycle methodologies (Waterfall & Agile). Analytical Skills: Strong critical thinking and problem-solving abilities. Technical Proficiency: Advanced proficiency in Microsoft Applications (PowerPoint, Visio, Project, Word, Excel, Access). Communication: Highly developed communication and diplomatic skills necessary to persuade and influence diverse stakeholders; capable of negotiating with external parties. Certifications (Plus): CAPM, PMP, PgMP, and/or MBA. Benefits Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure. A discretionary annual performance related bonus. Private medical insurance packages to suit your personal circumstances. Employee Assistance Program. Pension Plan. Paid Parental Leave. Special discounts for employees, family, and friends. Access to an array of learning and development resources. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
01/06/2026
Full time
Role Overview Join the Futures & Derivatives Clearing (FDC) and Equities Operations Program Execution Team, a vital component of the Markets Ops Transformation organization. This hybrid Business Analyst / Project Manager role is critical to driving strategic transformation and delivering Target Operating Models for FDC and Equities Operations within a dynamic, fast-paced environment. Our global organization spans over 60 countries, supporting a comprehensive range of Capital Markets products, including Fixed Income (FX, Rates, Credit, Muni, Cash, and Derivatives), where Citi is a dominant player, and Equities (Cash, Derivatives, Prime Brokerage, Futures, Listed Derivatives, FXPB), an area of significant growth. Job Purpose The Markets Process Engineering team is chartered with designing and delivering a multi-year transformation roadmap for Operations and broader bank stakeholders. This transformation is driven by strategic initiatives, investment change execution, and a market-leading change delivery team focused on program and project management, business analysis, process re-engineering, and low-code application development. The Futures and OTC Clearing franchise, an agency business, provides trading and clearing capabilities across 40+ exchanges for both clients and proprietary lines of business such as Equities, Rates, Commodities, FX, and Prime D1. This business is undergoing a strategic re-engineering of its platforms-a multi-year initiative focused on real-time computation and ambitious goals to establish a more robust, strategic, and well-controlled end-state for Futures and OTC Clearing Operations. We are seeking a dedicated Project/Business Analyst to lead the delivery of these strategic initiatives. This is an exceptional opportunity to contribute to a major Tier 1 program within a growing, global, and dynamic change management team. The role involves close collaboration with the Futures and OTC Clearing business, global operations teams, technology, and downstream functions like finance and regulatory reporting. What you'll do Project Leadership & Execution: Lead end-to-end project lifecycle management from initiation to closure, defining scope, goals, deliverables, timelines, and resource requirements. Ensure successful, on-time delivery that aligns with business objectives and provides robust evidence of completion. Stakeholder Engagement & Communication: Facilitate and lead project meetings (kick-offs, status updates, working groups, governance forums) to foster clear and consistent communication among all project participants. Prepare and deliver senior-level presentations to effectively communicate project progress and insights. Business Analysis & Process Optimization: Conduct in-depth business and data analysis to thoroughly document existing business and operational processes. Identify opportunities for enhancement, design improved workflows, and develop detailed process maps and use cases to support comprehensive business and functional requirements. Risk & Issue Management: Proactively identify, assess, and manage project risks, issues, and dependencies. Develop and implement effective mitigation and contingency plans to ensure project stability. Quality Assurance & UAT: Coordinate and support User Acceptance Testing (UAT) activities, ensuring that developed solutions meet specified business requirements and are fit for purpose. Documentation & Reporting: Create and maintain essential project documentation, including project charters, business requirements, RAID logs (Risks, Assumptions, Issues, Dependencies), and status reports. Cross-Functional Collaboration: Collaborate effectively with stakeholders across Business, Operations, Technology, Compliance, and other functions to ensure seamless project implementation and successful outcomes. Strategic Contribution: Champion change management efforts and actively contribute to additional strategic projects and tasks as required by the organization. What we need from you Experience: Solid and proven experience in Project Management and Business Analysis experience, preferably within the banking sector. Domain Knowledge: Proficient understanding of Exchange Traded Derivatives (ETD) Regulatory Reporting is a significant advantage. Methodologies: Proficient with project life cycle methodologies (Waterfall & Agile). Analytical Skills: Strong critical thinking and problem-solving abilities. Technical Proficiency: Advanced proficiency in Microsoft Applications (PowerPoint, Visio, Project, Word, Excel, Access). Communication: Highly developed communication and diplomatic skills necessary to persuade and influence diverse stakeholders; capable of negotiating with external parties. Certifications (Plus): CAPM, PMP, PgMP, and/or MBA. Benefits Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure. A discretionary annual performance related bonus. Private medical insurance packages to suit your personal circumstances. Employee Assistance Program. Pension Plan. Paid Parental Leave. Special discounts for employees, family, and friends. Access to an array of learning and development resources. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Senior Credit Strategy Analyst We're looking for a new Senior Credit Strategy Analyst to join our high performing credit analytics and strategy team. This team is responsible for driving step change improvements in credit performance by developing risk models, hypothesis testing, and monitoring portfolio trends. Collaboration is key at Zopa - you'll work closely with our cross functional teams including data science, product, and engineering to develop and drive growth strategies, influence strategic decisions, and identify new opportunities through the application of leading edge analytical techniques. We look for bright individuals with a passion for translating numbers into business opportunities and delivering insights to drive decision making - if this resonates with you, we'd love to hear from you! Why join Credit Strategy at Zopa? As a Senior Analyst, you will be entrusted to lead on our most complex and highest impact projects. You will work in a team that covers a broad remit across lending strategy, credit policy, affordability, fraud, valuations, and pricing. Zopa offers a broad range of lending products - unsecured personal loans, credit cards, secured loans for car purchase, and point of sale finance - each posing unique analytical challenges. You work with some of the best tech in the industry, such as powerful Python instances for data analysis, machine learning, and Redshift for data warehousing. All our decision ing systems are built in house, giving us nearly unlimited flexibility in what we can implement. You work in a wider cross functional product, credit, and data science team, so you will have the opportunity to work alongside, learn from, and mentor some of the brightest minds and friendliest people in the industry. A day in the life Optimising credit strategy and decisioning for one of our lending products, either through the deployment of a new risk scorecard or by designing and implementing a change to credit policy. Using advanced statistical techniques to predict customer behaviour or forecast future demand. Shaping and enhancing our credit policy, and working with the product and tech teams to deliver these changes. Working with open banking data or other novel datasets to find new ways of enhancing our credit strategy. Managing the pricing & commercials on our lending programme and making recommendations on our strategy to the Product Directors. Analysing the performance of our portfolio, identifying any areas of improvement, and recommending strategy changes based on these findings. Collaborating with our fraud team to stay updated on latest trends and exploring potential enhancements to our fraud strategy. Formulating strategies to improve our affordability policy and ensuring we continually deliver good customer outcomes. Building NPV & pricing optimisation models to inform lending decisions while understanding their inherent limitations. Please note - the above aims to provide insight into some of the exciting projects our Senior Analysts have been working on in the last months. You would not be expected to do all of the above in one typical day at Zopa! About you You have strong experience doing credit risk analysis in a consumer lending environment. You have a strong ability in manipulating and analysing large datasets using SQL and/or Python. You are experienced in visualisation and storytelling through data. You have a passion for translating numbers into business opportunities and delivering insights to drive decision making. You are a structured and holistic problem solver, and possess strong time management skills. You have an insatiable curiosity and a relentless drive to learn, improve, and share knowledge with others. You are able to work collaboratively with cross functional teams, including tech, data science, finance and product. We know that no candidate will meet every single desired qualification. If your experience looks a little different from what we've identified and you think you can bring value to the role, we'd love to learn more about you! At Zopa we value flexible ways of working. We value face to face collaboration and a good work life balance. This hybrid role requires you to come to our London office 2 3 days a week. You'll also have the option of working from abroad for up to 120 days a year! But no matter where you are, we'll make sure you've got everything you need to thrive, both in your work and home life, from day one. Subject to having the right to work in the country of choice. Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference, and we are proud of our culture where everyone can bring their full selves to work. Our approach to DE&I is reflected in our hiring process, so please let us know if you require any reasonable adjustments.
01/06/2026
Full time
Senior Credit Strategy Analyst We're looking for a new Senior Credit Strategy Analyst to join our high performing credit analytics and strategy team. This team is responsible for driving step change improvements in credit performance by developing risk models, hypothesis testing, and monitoring portfolio trends. Collaboration is key at Zopa - you'll work closely with our cross functional teams including data science, product, and engineering to develop and drive growth strategies, influence strategic decisions, and identify new opportunities through the application of leading edge analytical techniques. We look for bright individuals with a passion for translating numbers into business opportunities and delivering insights to drive decision making - if this resonates with you, we'd love to hear from you! Why join Credit Strategy at Zopa? As a Senior Analyst, you will be entrusted to lead on our most complex and highest impact projects. You will work in a team that covers a broad remit across lending strategy, credit policy, affordability, fraud, valuations, and pricing. Zopa offers a broad range of lending products - unsecured personal loans, credit cards, secured loans for car purchase, and point of sale finance - each posing unique analytical challenges. You work with some of the best tech in the industry, such as powerful Python instances for data analysis, machine learning, and Redshift for data warehousing. All our decision ing systems are built in house, giving us nearly unlimited flexibility in what we can implement. You work in a wider cross functional product, credit, and data science team, so you will have the opportunity to work alongside, learn from, and mentor some of the brightest minds and friendliest people in the industry. A day in the life Optimising credit strategy and decisioning for one of our lending products, either through the deployment of a new risk scorecard or by designing and implementing a change to credit policy. Using advanced statistical techniques to predict customer behaviour or forecast future demand. Shaping and enhancing our credit policy, and working with the product and tech teams to deliver these changes. Working with open banking data or other novel datasets to find new ways of enhancing our credit strategy. Managing the pricing & commercials on our lending programme and making recommendations on our strategy to the Product Directors. Analysing the performance of our portfolio, identifying any areas of improvement, and recommending strategy changes based on these findings. Collaborating with our fraud team to stay updated on latest trends and exploring potential enhancements to our fraud strategy. Formulating strategies to improve our affordability policy and ensuring we continually deliver good customer outcomes. Building NPV & pricing optimisation models to inform lending decisions while understanding their inherent limitations. Please note - the above aims to provide insight into some of the exciting projects our Senior Analysts have been working on in the last months. You would not be expected to do all of the above in one typical day at Zopa! About you You have strong experience doing credit risk analysis in a consumer lending environment. You have a strong ability in manipulating and analysing large datasets using SQL and/or Python. You are experienced in visualisation and storytelling through data. You have a passion for translating numbers into business opportunities and delivering insights to drive decision making. You are a structured and holistic problem solver, and possess strong time management skills. You have an insatiable curiosity and a relentless drive to learn, improve, and share knowledge with others. You are able to work collaboratively with cross functional teams, including tech, data science, finance and product. We know that no candidate will meet every single desired qualification. If your experience looks a little different from what we've identified and you think you can bring value to the role, we'd love to learn more about you! At Zopa we value flexible ways of working. We value face to face collaboration and a good work life balance. This hybrid role requires you to come to our London office 2 3 days a week. You'll also have the option of working from abroad for up to 120 days a year! But no matter where you are, we'll make sure you've got everything you need to thrive, both in your work and home life, from day one. Subject to having the right to work in the country of choice. Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference, and we are proud of our culture where everyone can bring their full selves to work. Our approach to DE&I is reflected in our hiring process, so please let us know if you require any reasonable adjustments.
