Senior Power BI Consultant / Manager Location: Liverpool (2 days onsite per week) Contract: 3 months rolling Rate: Up to 435 per day Clearance: None required Overview We're looking for a Senior Power BI Consultant / Manager to join a growing analytics function, combining hands-on delivery expertise with team capability building. This is not a pure reporting role - you'll play a key part in uplifting the team, embedding best practices, and driving long-term self-sufficiency, while continuing to deliver high-quality Power BI solutions. Key Responsibilities Lead end-to-end Power BI delivery: from data preparation and modelling through to polished, user-friendly dashboards Coach and mentor analysts through structured training, 1-2-1 support, and hands-on guidance Translate technical concepts into clear, accessible guidance for less experienced team members Identify capability gaps and define practical upskilling and training approaches Provide guidance on migration from Qlik to Power BI (where relevant) Champion best practices across: Data modelling DAX development Visual design Governance Work independently with stakeholders to identify opportunities for improvement Create clear documentation to support knowledge sharing and reuse Core Experience (Must Have) Extensive hands-on Power BI experience in production environments (end-to-end delivery) Strong expertise in: Power Query (M) for data transformation DAX, with a focus on scalable, best-practice development Strong data visualisation and UX skills, producing intuitive, business-friendly dashboards Working knowledge of Microsoft Fabric and Power BI integration Solid SQL skills for working with underlying data sources Proven experience in: Coaching and mentoring technical teams Delivering both structured and ad-hoc training Excellent communication skills - able to explain complex concepts to non-technical users Proactive mindset with the ability to identify gaps and drive improvements independently Desirable Experience Exposure to Qlik (QlikView/Qlik Sense) or experience with migration to Power BI Experience defining Power BI standards, governance, or capability frameworks Experience building custom visuals or advanced dashboard features
27/06/2026
Contractor
Senior Power BI Consultant / Manager Location: Liverpool (2 days onsite per week) Contract: 3 months rolling Rate: Up to 435 per day Clearance: None required Overview We're looking for a Senior Power BI Consultant / Manager to join a growing analytics function, combining hands-on delivery expertise with team capability building. This is not a pure reporting role - you'll play a key part in uplifting the team, embedding best practices, and driving long-term self-sufficiency, while continuing to deliver high-quality Power BI solutions. Key Responsibilities Lead end-to-end Power BI delivery: from data preparation and modelling through to polished, user-friendly dashboards Coach and mentor analysts through structured training, 1-2-1 support, and hands-on guidance Translate technical concepts into clear, accessible guidance for less experienced team members Identify capability gaps and define practical upskilling and training approaches Provide guidance on migration from Qlik to Power BI (where relevant) Champion best practices across: Data modelling DAX development Visual design Governance Work independently with stakeholders to identify opportunities for improvement Create clear documentation to support knowledge sharing and reuse Core Experience (Must Have) Extensive hands-on Power BI experience in production environments (end-to-end delivery) Strong expertise in: Power Query (M) for data transformation DAX, with a focus on scalable, best-practice development Strong data visualisation and UX skills, producing intuitive, business-friendly dashboards Working knowledge of Microsoft Fabric and Power BI integration Solid SQL skills for working with underlying data sources Proven experience in: Coaching and mentoring technical teams Delivering both structured and ad-hoc training Excellent communication skills - able to explain complex concepts to non-technical users Proactive mindset with the ability to identify gaps and drive improvements independently Desirable Experience Exposure to Qlik (QlikView/Qlik Sense) or experience with migration to Power BI Experience defining Power BI standards, governance, or capability frameworks Experience building custom visuals or advanced dashboard features
Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre - we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on The Team The Analytics Engineering team is a key part of the broader Data, Analytics & AI organisation within Technology. Our mission is to transform data into high-quality, trusted, and scalable data products that empower analytics, product, finance, risk, and commercial teams to make smarter decisions for our customers. We work closely with Data Engineers, Analysts, Data Scientists, ML Engineers and stakeholders across the business. As Zopa continues to align Analytics Engineering to business domains, we are embedding domain ownership, ensuring our data models and semantic layers reflect real-world business boundaries and needs. The Role This is a hands on technical leadership role focused on raising standards, shaping technical direction, and increasing modelling maturity across domains - without formal line management responsibility. You'll own and deliver the most complex modelling challenges, help to define and evolve best practices for dbt, modelling, governance and cost optimisation. You'll act as a technical authority within analytics engineering, whilst mentoring and enabling others to raise their technical bar. You'll also shape how domain data products are designed, owned, and consumed across Zopa. What you'll be doing: Evolve the technical direction for Analytics Engineering in partnership with the Head of AE Develop scalable modelling patterns aligned to our data mesh and domain-based ownership approach Raise engineering standards across testing, CI/CD, documentation, version control and code review Lead by example in applying data governance and risk standards across all data products Design and build robust, production-grade, cost efficient dbt models for high impact domains Own modelling strategy for key business areas, ensuring consistency, maintainability, and scalability Optimise data marts for performance, reliability and long term growth Break down complex domain problems into scalable data products Evaluate trade offs between cost, performance, maintainability and delivery speed Take end to end ownership of high impact modelling initiatives Partner with product teams and domain owners to translate business needs into clean, well documented data models Ensure cross domain consistency and reusability of shared entities Advocate for domain ownership and clear data contracts Simplify overly complex modelling areas and reduce unnecessary warehouse costs Mentor Analytics Engineers and Analysts, helping them deepen their modelling and engineering expertise Provide high quality, empathetic and actionable code reviews Share knowledge at scale through documentation, technical sessions or playbooks We're looking for someone who: Thrives in a developing environment where not everything is defined Communicates clearly with engineers, product teams and business stakeholders Can influence without authority Has strong problem solving and critical thinking skills Is comfortable making decisions in ambiguity Enjoys mentoring and raising standards Is proactive about identifying and solving structural problems Embraces continuous learning and technological advancement What you'll bring: Significant experience as a Senior or Lead Analytics Engineer Demonstrable experience setting technical standards or shaping modelling practices Strong expertise in SQL and building production grade, cost efficient dbt models Experience working in modern cloud data environments Strong understanding of data governance and risk considerations Experience working cross functionally in product led environments Solid understanding of CI/CD, Git based workflows, and version controlled deployments 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 self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
26/06/2026
Full time
Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre - we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on The Team The Analytics Engineering team is a key part of the broader Data, Analytics & AI organisation within Technology. Our mission is to transform data into high-quality, trusted, and scalable data products that empower analytics, product, finance, risk, and commercial teams to make smarter decisions for our customers. We work closely with Data Engineers, Analysts, Data Scientists, ML Engineers and stakeholders across the business. As Zopa continues to align Analytics Engineering to business domains, we are embedding domain ownership, ensuring our data models and semantic layers reflect real-world business boundaries and needs. The Role This is a hands on technical leadership role focused on raising standards, shaping technical direction, and increasing modelling maturity across domains - without formal line management responsibility. You'll own and deliver the most complex modelling challenges, help to define and evolve best practices for dbt, modelling, governance and cost optimisation. You'll act as a technical authority within analytics engineering, whilst mentoring and enabling others to raise their technical bar. You'll also shape how domain data products are designed, owned, and consumed across Zopa. What you'll be doing: Evolve the technical direction for Analytics Engineering in partnership with the Head of AE Develop scalable modelling patterns aligned to our data mesh and domain-based ownership approach Raise engineering standards across testing, CI/CD, documentation, version control and code review Lead by example in applying data governance and risk standards across all data products Design and build robust, production-grade, cost efficient dbt models for high impact domains Own modelling strategy for key business areas, ensuring consistency, maintainability, and scalability Optimise data marts for performance, reliability and long term growth Break down complex domain problems into scalable data products Evaluate trade offs between cost, performance, maintainability and delivery speed Take end to end ownership of high impact modelling initiatives Partner with product teams and domain owners to translate business needs into clean, well documented data models Ensure cross domain consistency and reusability of shared entities Advocate for domain ownership and clear data contracts Simplify overly complex modelling areas and reduce unnecessary warehouse costs Mentor Analytics Engineers and Analysts, helping them deepen their modelling and engineering expertise Provide high quality, empathetic and actionable code reviews Share knowledge at scale through documentation, technical sessions or playbooks We're looking for someone who: Thrives in a developing environment where not everything is defined Communicates clearly with engineers, product teams and business stakeholders Can influence without authority Has strong problem solving and critical thinking skills Is comfortable making decisions in ambiguity Enjoys mentoring and raising standards Is proactive about identifying and solving structural problems Embraces continuous learning and technological advancement What you'll bring: Significant experience as a Senior or Lead Analytics Engineer Demonstrable experience setting technical standards or shaping modelling practices Strong expertise in SQL and building production grade, cost efficient dbt models Experience working in modern cloud data environments Strong understanding of data governance and risk considerations Experience working cross functionally in product led environments Solid understanding of CI/CD, Git based workflows, and version controlled deployments 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 self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
We are looking for a Business Operations Data Analyst to join the Business Data Team, based in Wrexham, reporting to the Business Operations Data Lead Analyst. This is an excellent opportunity for a graduate or early career professional to join a central function at the heart of the business, gaining hands on experience across revenue operations, financial reporting, and data management in support of Delta Capita's global operations. The ideal candidate will have some awareness of finance and business management concepts such as P&L structures, revenue, and costs. You will be involved in the day to day operational and administrative tasks that keep the business running smoothly, with full training and support provided. This role offers strong development opportunities across business operations and data analytics. Key Responsibilities Revenue Operations & Administrative Support Assist with the setup, maintenance, and closure of client engagements within the business's resource management platform, ensuring records are kept accurate and up to date. Perform data entry, validation checks, and cross referencing of engagement records against contractual documentation such as statements of work. Log, track, and help resolve data quality issues across engagements, escalating to IT or senior team members where needed. Support the processing of revenue adjustments under the guidance of senior colleagues, building an understanding of the different scenarios in which these are required. Month End & Financial Administration Assist with the preparation and submission of end of month revenue data and cost allocation reviews, ensuring information is collated accurately and to deadline. Help maintain and update cost files, billing trackers, and other supporting spreadsheets used by the Finance team. Support billing processes by gathering data, verifying details, and ensuring invoicing records are complete and up to date. Assist with the verification of monthly accrual reports and the collation of data for variable compensation reviews such as commissions. Data Integrity & Reporting Carry out routine data checks and validation across the business's core operational systems, flagging inconsistencies or gaps to senior team members. Update and maintain system reference data such as bank holidays, approver lists, and other configuration items to support accurate reporting. Support the wider Business Data Team in preparing and maintaining reports and dashboards, including gathering source data and checking outputs for accuracy. Process Support & General Administration Assist with documenting processes and procedures to support knowledge sharing and continuity within the team. Provide general administrative support across the Business Data Team, including filing, data collation, and preparation of materials for senior stakeholders. Work collaboratively with colleagues across Finance, IT, HR, and the Business Lines to support operational tasks as they arise. Essential Skills & Experience A degree or equivalent qualification in a relevant discipline such as business, finance, economics, or data analytics, or equivalent early career experience. Some awareness of or interest in core financial concepts such as P&L structures, revenue, costs, and billing. Good Excel skills, with a willingness to develop further in areas such as pivot tables, lookups, and data manipulation. Strong attention to detail and a methodical approach to working with data. Good organisational skills with the ability to manage multiple tasks and meet deadlines. Clear communication skills and a willingness to engage with colleagues at all levels. A proactive, can do attitude with a genuine willingness to learn and develop. Desirable Skills Any prior experience in a business operations, administrative, or data support role. Exposure to resource management or PSA platforms such as Kimble (Kantata) or similar. Exposure to Power BI or similar data visualisation and reporting tools. How We Work Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire. This is a permanent, full time position based in Wrexham with hybrid working. As the selection and interview process is ongoing, please submit your application as soon as possible. If your profile is selected, a member of our team will contact you within 4 weeks. For this role, a valid working permit for the UK is mandatory.
26/06/2026
Full time
We are looking for a Business Operations Data Analyst to join the Business Data Team, based in Wrexham, reporting to the Business Operations Data Lead Analyst. This is an excellent opportunity for a graduate or early career professional to join a central function at the heart of the business, gaining hands on experience across revenue operations, financial reporting, and data management in support of Delta Capita's global operations. The ideal candidate will have some awareness of finance and business management concepts such as P&L structures, revenue, and costs. You will be involved in the day to day operational and administrative tasks that keep the business running smoothly, with full training and support provided. This role offers strong development opportunities across business operations and data analytics. Key Responsibilities Revenue Operations & Administrative Support Assist with the setup, maintenance, and closure of client engagements within the business's resource management platform, ensuring records are kept accurate and up to date. Perform data entry, validation checks, and cross referencing of engagement records against contractual documentation such as statements of work. Log, track, and help resolve data quality issues across engagements, escalating to IT or senior team members where needed. Support the processing of revenue adjustments under the guidance of senior colleagues, building an understanding of the different scenarios in which these are required. Month End & Financial Administration Assist with the preparation and submission of end of month revenue data and cost allocation reviews, ensuring information is collated accurately and to deadline. Help maintain and update cost files, billing trackers, and other supporting spreadsheets used by the Finance team. Support billing processes by gathering data, verifying details, and ensuring invoicing records are complete and up to date. Assist with the verification of monthly accrual reports and the collation of data for variable compensation reviews such as commissions. Data Integrity & Reporting Carry out routine data checks and validation across the business's core operational systems, flagging inconsistencies or gaps to senior team members. Update and maintain system reference data such as bank holidays, approver lists, and other configuration items to support accurate reporting. Support the wider Business Data Team in preparing and maintaining reports and dashboards, including gathering source data and checking outputs for accuracy. Process Support & General Administration Assist with documenting processes and procedures to support knowledge sharing and continuity within the team. Provide general administrative support across the Business Data Team, including filing, data collation, and preparation of materials for senior stakeholders. Work collaboratively with colleagues across Finance, IT, HR, and the Business Lines to support operational tasks as they arise. Essential Skills & Experience A degree or equivalent qualification in a relevant discipline such as business, finance, economics, or data analytics, or equivalent early career experience. Some awareness of or interest in core financial concepts such as P&L structures, revenue, costs, and billing. Good Excel skills, with a willingness to develop further in areas such as pivot tables, lookups, and data manipulation. Strong attention to detail and a methodical approach to working with data. Good organisational skills with the ability to manage multiple tasks and meet deadlines. Clear communication skills and a willingness to engage with colleagues at all levels. A proactive, can do attitude with a genuine willingness to learn and develop. Desirable Skills Any prior experience in a business operations, administrative, or data support role. Exposure to resource management or PSA platforms such as Kimble (Kantata) or similar. Exposure to Power BI or similar data visualisation and reporting tools. How We Work Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire. This is a permanent, full time position based in Wrexham with hybrid working. As the selection and interview process is ongoing, please submit your application as soon as possible. If your profile is selected, a member of our team will contact you within 4 weeks. For this role, a valid working permit for the UK is mandatory.
We are seeking an experienced and highly collaborative Senior Data Analyst to join a multi-national cruise and tour operating company on a Temporary contract basis. This role will support the delivery of high-quality reporting, analytics, and business intelligence solutions while working closely with stakeholders across London and Prague. Senior Data Analyst, Key Responsibilities Design, develop, and maintain Power BI dashboards, reports, and data assets. Partner with business stakeholders to gather requirements and deliver meaningful analytics solutions. Transform complex data into actionable insights that support strategic decision-making. Ensure the quality, integrity, governance, and security of data assets and reporting solutions. Support knowledge sharing and contribute to a collaborative, high-performing team environment. Drive continuous improvement in reporting, analytics, and data management practices. Senior Data Analyst, Skills & Experience Required Advanced Power BI development and reporting expertise. Strong experience in data modelling, analytics, and business reporting. Excellent stakeholder engagement and relationship management skills. Strong commercial awareness and ability to understand business requirements. Exceptional communication skills, with the ability to translate complex technical concepts into clear, executive-level insights. Proven experience delivering high-quality analytics solutions in a collaborative environment. Strong attention to detail and commitment to data accuracy and quality. Senior Data Analyst, Additional Details Salary open to discussion and depending on experience Ongoing Temporary contract until at least the end of the year Working Hybrid with their offices in central London Working Mon - Fri To apply for this Senior Data Analyst please either apply online, email your c.v to or call Amy on quoting Ref: AM60706
26/06/2026
Seasonal
We are seeking an experienced and highly collaborative Senior Data Analyst to join a multi-national cruise and tour operating company on a Temporary contract basis. This role will support the delivery of high-quality reporting, analytics, and business intelligence solutions while working closely with stakeholders across London and Prague. Senior Data Analyst, Key Responsibilities Design, develop, and maintain Power BI dashboards, reports, and data assets. Partner with business stakeholders to gather requirements and deliver meaningful analytics solutions. Transform complex data into actionable insights that support strategic decision-making. Ensure the quality, integrity, governance, and security of data assets and reporting solutions. Support knowledge sharing and contribute to a collaborative, high-performing team environment. Drive continuous improvement in reporting, analytics, and data management practices. Senior Data Analyst, Skills & Experience Required Advanced Power BI development and reporting expertise. Strong experience in data modelling, analytics, and business reporting. Excellent stakeholder engagement and relationship management skills. Strong commercial awareness and ability to understand business requirements. Exceptional communication skills, with the ability to translate complex technical concepts into clear, executive-level insights. Proven experience delivering high-quality analytics solutions in a collaborative environment. Strong attention to detail and commitment to data accuracy and quality. Senior Data Analyst, Additional Details Salary open to discussion and depending on experience Ongoing Temporary contract until at least the end of the year Working Hybrid with their offices in central London Working Mon - Fri To apply for this Senior Data Analyst please either apply online, email your c.v to or call Amy on quoting Ref: AM60706
Technical Product Manager - Digital Platforms page is loaded Technical Product Manager - Digital Platformslocations: GBR-London-10 Paternoster Squaretime type: Full timeposted on: Posted Todayjob requisition id: R Role profile We have an exciting opportunity for a Technical Product Manager to join our dynamic Digital team within the London Stock Exchange Group.You will be joining Corporate Engineering - a team that is charged to build, release and continuously improve LSEG's Tier 1 corporate websites, turning design and ideas into components that will exceed our customers' expectations. Corporate websites act as the public face of LSEG and the ability to keep those fresh, relevant, safe, performant, and reliable is paramount to the firm.We are a mature, Agile development team who implement and maintain our own systems. Our analysts, developers and testers work alongside and multi-functionally to deliver high quality, multiple high value, high risk digital products and initiatives from conception to launch.This position is ideal for a collaborative and creative Technical Product Manager who facilitates the design, development maintenance of mid to large AEM and AWS implementations. What you will do: Deliver on Digital strategy, Capability projects and become a domain expert and authority for the applications and projects you work on. Conduct thorough business process analysis to understand existing workflows and systems, document current processes and systems, use the specification to create requirements for new processes, develop use cases, and lead requirement changes. Lead the analysis, design, and implementation of AEM sites and draft detailed business requirements use cases and systems interaction diagrams. Work with key business and technology partners to define and conceptualise product strategy and requirements, approved wireframes and mock-ups for solutions. Relentlessly share a comprehensive view of the required functionality to provide context and meaning to the software we are delivering, and to ensure end to end precision. Partner closely with Risk, Legal, Compliance, InfoSec, Architecture, and SRE to ensure platforms meet internal and external regulatory obligations Define and track product health metrics (availability, error rates, deployment risk, defect leakage, technical debt) Create a solid foundation for SaFe Agile development by providing clear direction, meticulous understanding, and strong purpose as standard. Maintain an appropriately prioritised backlog of development work - liaising with the development team and wider collaborators to ensure expectations of all interested parties are correctly handled. Lead requirement breakdown and estimation sessions with multiple development teams. Own and drive quality assurance and software testing efforts with a key focus on automated testing and DevOps enablement of the team. Develop and review test plans, test cases and test reports to provide insight into the quality of in-development products and measure effectiveness of current test strategies. Propose and implement software testing strategies for digital transformation initiatives. Own and drive software life cycle quality documentation. Chip in to project discoveries, business cases, kickoffs, prepare proposals and statements of work following company standards. The type of person we would love to meet: Product Manager with a complete understanding of the Software Delivery Lifecycle and delivery methodologies such as Scrum, SaFE and Kanban. Has a proven background in Product management delivery change to critical applications and or websites that are considered regulatory in nature and experience in high pressured and dynamic environments. Experience as a Product Manager or Product Owner in the digital domain delivering large scale websites and cloud projects. Experience in leading people, mentoring Product Owners and Business Analysts, and improving delivery practices. Experienced in managing senior stakeholders, managing conflicts, aligning priorities, and making clear, defensible decisions. Authoritative knowledge, and proven experience of cloud implementations. Knowledge of AWS is a plus. Knowledge of Adobe Experience Manager (AEM) is a plus. Proficient understanding of all website components and features like Digital Asset Management, workflows, site search, how to overlay components for customisations, integrations analytics. Proficient understanding and working experience of creating and maintaining functional specifications for new website templates, components including authoring widgets, custom widgets and workflow customisation/creation. Exposure working with content and authors. Experience in integrating websites with backend systems and data sources. Proficient understanding of cross-browser compatibility needs. Experience with Test Driven Development. Working with onshore and offshore teams. Champion usage of the Atlassian suite (JIRA, Confluence, bitbucket) or Asana. Proactive, assertive and pragmatic in a demanding and dynamic environment. Servant leaders, who put the team first. Nice to have: Ability to perform some development and maintenance tasks related to AEM platform code. Experience in installation and configuration of AEM, Groups and Permissions, Access Control Lists, Replication agents, service packs, dispatcher configuration. Experience in Java development, design, and coding (Javascript, HTML, CSS, jQuery, React js and web technologies) Experience in fix AEM Environment issues. UX UI knowledge. Career Stage: Manager London 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. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about
26/06/2026
Full time
Technical Product Manager - Digital Platforms page is loaded Technical Product Manager - Digital Platformslocations: GBR-London-10 Paternoster Squaretime type: Full timeposted on: Posted Todayjob requisition id: R Role profile We have an exciting opportunity for a Technical Product Manager to join our dynamic Digital team within the London Stock Exchange Group.You will be joining Corporate Engineering - a team that is charged to build, release and continuously improve LSEG's Tier 1 corporate websites, turning design and ideas into components that will exceed our customers' expectations. Corporate websites act as the public face of LSEG and the ability to keep those fresh, relevant, safe, performant, and reliable is paramount to the firm.We are a mature, Agile development team who implement and maintain our own systems. Our analysts, developers and testers work alongside and multi-functionally to deliver high quality, multiple high value, high risk digital products and initiatives from conception to launch.This position is ideal for a collaborative and creative Technical Product Manager who facilitates the design, development maintenance of mid to large AEM and AWS implementations. What you will do: Deliver on Digital strategy, Capability projects and become a domain expert and authority for the applications and projects you work on. Conduct thorough business process analysis to understand existing workflows and systems, document current processes and systems, use the specification to create requirements for new processes, develop use cases, and lead requirement changes. Lead the analysis, design, and implementation of AEM sites and draft detailed business requirements use cases and systems interaction diagrams. Work with key business and technology partners to define and conceptualise product strategy and requirements, approved wireframes and mock-ups for solutions. Relentlessly share a comprehensive view of the required functionality to provide context and meaning to the software we are delivering, and to ensure end to end precision. Partner closely with Risk, Legal, Compliance, InfoSec, Architecture, and SRE to ensure platforms meet internal and external regulatory obligations Define and track product health metrics (availability, error rates, deployment risk, defect leakage, technical debt) Create a solid foundation for SaFe Agile development by providing clear direction, meticulous understanding, and strong purpose as standard. Maintain an appropriately prioritised backlog of development work - liaising with the development team and wider collaborators to ensure expectations of all interested parties are correctly handled. Lead requirement breakdown and estimation sessions with multiple development teams. Own and drive quality assurance and software testing efforts with a key focus on automated testing and DevOps enablement of the team. Develop and review test plans, test cases and test reports to provide insight into the quality of in-development products and measure effectiveness of current test strategies. Propose and implement software testing strategies for digital transformation initiatives. Own and drive software life cycle quality documentation. Chip in to project discoveries, business cases, kickoffs, prepare proposals and statements of work following company standards. The type of person we would love to meet: Product Manager with a complete understanding of the Software Delivery Lifecycle and delivery methodologies such as Scrum, SaFE and Kanban. Has a proven background in Product management delivery change to critical applications and or websites that are considered regulatory in nature and experience in high pressured and dynamic environments. Experience as a Product Manager or Product Owner in the digital domain delivering large scale websites and cloud projects. Experience in leading people, mentoring Product Owners and Business Analysts, and improving delivery practices. Experienced in managing senior stakeholders, managing conflicts, aligning priorities, and making clear, defensible decisions. Authoritative knowledge, and proven experience of cloud implementations. Knowledge of AWS is a plus. Knowledge of Adobe Experience Manager (AEM) is a plus. Proficient understanding of all website components and features like Digital Asset Management, workflows, site search, how to overlay components for customisations, integrations analytics. Proficient understanding and working experience of creating and maintaining functional specifications for new website templates, components including authoring widgets, custom widgets and workflow customisation/creation. Exposure working with content and authors. Experience in integrating websites with backend systems and data sources. Proficient understanding of cross-browser compatibility needs. Experience with Test Driven Development. Working with onshore and offshore teams. Champion usage of the Atlassian suite (JIRA, Confluence, bitbucket) or Asana. Proactive, assertive and pragmatic in a demanding and dynamic environment. Servant leaders, who put the team first. Nice to have: Ability to perform some development and maintenance tasks related to AEM platform code. Experience in installation and configuration of AEM, Groups and Permissions, Access Control Lists, Replication agents, service packs, dispatcher configuration. Experience in Java development, design, and coding (Javascript, HTML, CSS, jQuery, React js and web technologies) Experience in fix AEM Environment issues. UX UI knowledge. Career Stage: Manager London 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. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about
The Role A full-time permanent position within the Credit Risk team with an agreed flexible mixture of working from home and Head Office in Grimsby. Reporting directly to the Credit Risk Team Leader, the Credit Risk Analyst will be responsible for producing accurate analysis on a variety of key credit risk metrics and customer behaviours, helping shape and enhance the firm's credit and affordability strategy. The role involves collaborating with colleagues within the Credit Risk team and wider business on key projects designed to achieve sustainable growth with a customer focused approach. Key Responsibilities Extracting, manipulating and analysing data on the performance of key credit risk business metrics. Provide detailed and insightful solutions to drive performance and support credit risk and affordability decisions. Involvement in team projects to ensure both KPI and business strategies are met. Utilise both internal database sets and SAS database mining software, as well as external datasets including CRA data. Design and produce new management information and reporting to support business and risk requirements. Deliver clear, meaningful MI to senior stakeholders. Carry out broader data analysis to support lending strategy, risk appetite, and overall portfolio profitability. Respond to ad-hoc requests from around the business, investigating specific risk issues and providing insight to support business decisions. Key Skills and Attributes Strong data extraction and analysis skills with the ability to analyse and interpret large datasets. Strong organisational skills with the ability to manage multiple priorities and meet deadlines. Ability to translate complex analysis into clear, non-technical insights to present to senior leadership. Proficiency with using advanced analytics tools (e.g. SQL, SAS, Python) and recent experience working with large data sets. Proficiency with MS Office software (Excel, Word, PowerPoint, Power BI). Proactive approach to work and problem solving. Strong attention to detail and accuracy. Excellent written and verbal communication skills. Applicants must be located and eligible to work in the UK without sponsorship. Please note, should feedback not be received within 28 days, unfortunately your application has been unsuccessful. In applying for this role, you may be registered on our database so we can contact you about suitable opportunities in future. Your data will be managed in accordance with our Privacy Policy, which can be found on our website. If you would like this job advertisement in an alternative format, please contact MERJE directly.
26/06/2026
Full time
The Role A full-time permanent position within the Credit Risk team with an agreed flexible mixture of working from home and Head Office in Grimsby. Reporting directly to the Credit Risk Team Leader, the Credit Risk Analyst will be responsible for producing accurate analysis on a variety of key credit risk metrics and customer behaviours, helping shape and enhance the firm's credit and affordability strategy. The role involves collaborating with colleagues within the Credit Risk team and wider business on key projects designed to achieve sustainable growth with a customer focused approach. Key Responsibilities Extracting, manipulating and analysing data on the performance of key credit risk business metrics. Provide detailed and insightful solutions to drive performance and support credit risk and affordability decisions. Involvement in team projects to ensure both KPI and business strategies are met. Utilise both internal database sets and SAS database mining software, as well as external datasets including CRA data. Design and produce new management information and reporting to support business and risk requirements. Deliver clear, meaningful MI to senior stakeholders. Carry out broader data analysis to support lending strategy, risk appetite, and overall portfolio profitability. Respond to ad-hoc requests from around the business, investigating specific risk issues and providing insight to support business decisions. Key Skills and Attributes Strong data extraction and analysis skills with the ability to analyse and interpret large datasets. Strong organisational skills with the ability to manage multiple priorities and meet deadlines. Ability to translate complex analysis into clear, non-technical insights to present to senior leadership. Proficiency with using advanced analytics tools (e.g. SQL, SAS, Python) and recent experience working with large data sets. Proficiency with MS Office software (Excel, Word, PowerPoint, Power BI). Proactive approach to work and problem solving. Strong attention to detail and accuracy. Excellent written and verbal communication skills. Applicants must be located and eligible to work in the UK without sponsorship. Please note, should feedback not be received within 28 days, unfortunately your application has been unsuccessful. In applying for this role, you may be registered on our database so we can contact you about suitable opportunities in future. Your data will be managed in accordance with our Privacy Policy, which can be found on our website. If you would like this job advertisement in an alternative format, please contact MERJE directly.
Graduate Investment Data Analyst Programme Central London Global Investment & Asset Management Group Starting Salary: £42,000 - £50,000 per annum Performance Bonus Scheme Private Medical Insurance Hybrid Working Opportunities International Career Development Pathways Exceptional Pension & Wellbeing Package Turn Data Into Investment Decisions Are you a graduate with a passion for data, financial markets, technology, and problem solving? Our Graduate Investment Data Analyst Programme offers an exciting opportunity to join one of the UK's fastest-growing investment organisations, where data sits at the heart of every strategic decision. This is not a back-office reporting role. From day one, you will work alongside investment professionals, quantitative analysts, portfolio managers, and technology specialists to help uncover market trends, evaluate investment opportunities, and support multi-million-pound investment decisions. As financial markets become increasingly driven by data and technology, organisations require talented graduates capable of transforming complex information into actionable insights. This programme has been designed to develop future leaders within investment analytics and investment strategy. What You Will Be Doing You will gain exposure to a wide range of investment and analytical activities including: • Analysing market, economic and financial data from global sources • Producing investment performance reports and analytical dashboards • Supporting portfolio monitoring and investment research projects • Identifying patterns, trends and anomalies across large datasets • Assisting senior investment professionals with data-driven decision making • Working with financial modelling and forecasting tools • Helping develop automated reporting and business intelligence solutions • Contributing to investment committee presentations and research reports • Monitoring global economic developments and their potential market impact • Collaborating with technology teams to improve data quality and analytical capabilities What We Are Looking For We welcome applications from graduates who possess: • A degree in Finance, Economics, Mathematics, Statistics, Data Science, Business Analytics, Computer Science or a related discipline • Strong analytical and problem-solving abilities • Excellent attention to detail • Advanced Microsoft Excel skills • A genuine interest in investments, financial markets and economic trends • The ability to communicate complex information clearly and effectively • A proactive attitude and willingness to learn What Makes This Opportunity Different Unlike many graduate schemes that spend months rotating candidates through administrative departments, this programme places you directly into a specialist investment analytics team where your work will contribute to real investment decisions. You will receive structured mentoring from experienced investment professionals, exposure to sophisticated market intelligence platforms, and opportunities to work alongside teams operating across Europe, Asia, and North America. Successful graduates have progressed into positions including: • Investment Analyst • Portfolio Analyst • Quantitative Research Analyst • Investment Strategy Associate • Data & Insights Manager • Portfolio Manager Benefits & Rewards • Competitive starting salary of £42,000 - £50,000 • Annual performance-related bonus • Private healthcare cover • Hybrid working arrangements • Generous pension contribution scheme • Gym membership allowance • Employee wellbeing programme • Season ticket loan • Enhanced annual leave entitlement • International travel opportunities • Modern Central London offices • Structured graduate development programme • Fast-track progression opportunities Location Based within our prestigious Central London headquarters, with opportunities to collaborate with colleagues across our international office network. If you are looking to build a career where finance, technology, data, and investment strategy come together, we would be delighted to hear from you.
26/06/2026
Full time
Graduate Investment Data Analyst Programme Central London Global Investment & Asset Management Group Starting Salary: £42,000 - £50,000 per annum Performance Bonus Scheme Private Medical Insurance Hybrid Working Opportunities International Career Development Pathways Exceptional Pension & Wellbeing Package Turn Data Into Investment Decisions Are you a graduate with a passion for data, financial markets, technology, and problem solving? Our Graduate Investment Data Analyst Programme offers an exciting opportunity to join one of the UK's fastest-growing investment organisations, where data sits at the heart of every strategic decision. This is not a back-office reporting role. From day one, you will work alongside investment professionals, quantitative analysts, portfolio managers, and technology specialists to help uncover market trends, evaluate investment opportunities, and support multi-million-pound investment decisions. As financial markets become increasingly driven by data and technology, organisations require talented graduates capable of transforming complex information into actionable insights. This programme has been designed to develop future leaders within investment analytics and investment strategy. What You Will Be Doing You will gain exposure to a wide range of investment and analytical activities including: • Analysing market, economic and financial data from global sources • Producing investment performance reports and analytical dashboards • Supporting portfolio monitoring and investment research projects • Identifying patterns, trends and anomalies across large datasets • Assisting senior investment professionals with data-driven decision making • Working with financial modelling and forecasting tools • Helping develop automated reporting and business intelligence solutions • Contributing to investment committee presentations and research reports • Monitoring global economic developments and their potential market impact • Collaborating with technology teams to improve data quality and analytical capabilities What We Are Looking For We welcome applications from graduates who possess: • A degree in Finance, Economics, Mathematics, Statistics, Data Science, Business Analytics, Computer Science or a related discipline • Strong analytical and problem-solving abilities • Excellent attention to detail • Advanced Microsoft Excel skills • A genuine interest in investments, financial markets and economic trends • The ability to communicate complex information clearly and effectively • A proactive attitude and willingness to learn What Makes This Opportunity Different Unlike many graduate schemes that spend months rotating candidates through administrative departments, this programme places you directly into a specialist investment analytics team where your work will contribute to real investment decisions. You will receive structured mentoring from experienced investment professionals, exposure to sophisticated market intelligence platforms, and opportunities to work alongside teams operating across Europe, Asia, and North America. Successful graduates have progressed into positions including: • Investment Analyst • Portfolio Analyst • Quantitative Research Analyst • Investment Strategy Associate • Data & Insights Manager • Portfolio Manager Benefits & Rewards • Competitive starting salary of £42,000 - £50,000 • Annual performance-related bonus • Private healthcare cover • Hybrid working arrangements • Generous pension contribution scheme • Gym membership allowance • Employee wellbeing programme • Season ticket loan • Enhanced annual leave entitlement • International travel opportunities • Modern Central London offices • Structured graduate development programme • Fast-track progression opportunities Location Based within our prestigious Central London headquarters, with opportunities to collaborate with colleagues across our international office network. If you are looking to build a career where finance, technology, data, and investment strategy come together, we would be delighted to hear from you.
Graduate Investment Data Analyst Programme Central London Global Investment & Asset Management Group Starting Salary: £42,000 - £50,000 per annum Performance Bonus Scheme Private Medical Insurance Hybrid Working Opportunities International Career Development Pathways Exceptional Pension & Wellbeing Package Turn Data Into Investment Decisions Are you a graduate with a passion for data, financial markets, technology, and problem solving? Our Graduate Investment Data Analyst Programme offers an exciting opportunity to join one of the UK's fastest-growing investment organisations, where data sits at the heart of every strategic decision. This is not a back-office reporting role. From day one, you will work alongside investment professionals, quantitative analysts, portfolio managers, and technology specialists to help uncover market trends, evaluate investment opportunities, and support multi-million-pound investment decisions. As financial markets become increasingly driven by data and technology, organisations require talented graduates capable of transforming complex information into actionable insights. This programme has been designed to develop future leaders within investment analytics and investment strategy. What You Will Be Doing You will gain exposure to a wide range of investment and analytical activities including: • Analysing market, economic and financial data from global sources • Producing investment performance reports and analytical dashboards • Supporting portfolio monitoring and investment research projects • Identifying patterns, trends and anomalies across large datasets • Assisting senior investment professionals with data-driven decision making • Working with financial modelling and forecasting tools • Helping develop automated reporting and business intelligence solutions • Contributing to investment committee presentations and research reports • Monitoring global economic developments and their potential market impact • Collaborating with technology teams to improve data quality and analytical capabilities What We Are Looking For We welcome applications from graduates who possess: • A degree in Finance, Economics, Mathematics, Statistics, Data Science, Business Analytics, Computer Science or a related discipline • Strong analytical and problem-solving abilities • Excellent attention to detail • Advanced Microsoft Excel skills • A genuine interest in investments, financial markets and economic trends • The ability to communicate complex information clearly and effectively • A proactive attitude and willingness to learn What Makes This Opportunity Different Unlike many graduate schemes that spend months rotating candidates through administrative departments, this programme places you directly into a specialist investment analytics team where your work will contribute to real investment decisions. You will receive structured mentoring from experienced investment professionals, exposure to sophisticated market intelligence platforms, and opportunities to work alongside teams operating across Europe, Asia, and North America. Successful graduates have progressed into positions including: • Investment Analyst • Portfolio Analyst • Quantitative Research Analyst • Investment Strategy Associate • Data & Insights Manager • Portfolio Manager Benefits & Rewards • Competitive starting salary of £42,000 - £50,000 • Annual performance-related bonus • Private healthcare cover • Hybrid working arrangements • Generous pension contribution scheme • Gym membership allowance • Employee wellbeing programme • Season ticket loan • Enhanced annual leave entitlement • International travel opportunities • Modern Central London offices • Structured graduate development programme • Fast-track progression opportunities Location Based within our prestigious Central London headquarters, with opportunities to collaborate with colleagues across our international office network. If you are looking to build a career where finance, technology, data, and investment strategy come together, we would be delighted to hear from you.
26/06/2026
Full time
Graduate Investment Data Analyst Programme Central London Global Investment & Asset Management Group Starting Salary: £42,000 - £50,000 per annum Performance Bonus Scheme Private Medical Insurance Hybrid Working Opportunities International Career Development Pathways Exceptional Pension & Wellbeing Package Turn Data Into Investment Decisions Are you a graduate with a passion for data, financial markets, technology, and problem solving? Our Graduate Investment Data Analyst Programme offers an exciting opportunity to join one of the UK's fastest-growing investment organisations, where data sits at the heart of every strategic decision. This is not a back-office reporting role. From day one, you will work alongside investment professionals, quantitative analysts, portfolio managers, and technology specialists to help uncover market trends, evaluate investment opportunities, and support multi-million-pound investment decisions. As financial markets become increasingly driven by data and technology, organisations require talented graduates capable of transforming complex information into actionable insights. This programme has been designed to develop future leaders within investment analytics and investment strategy. What You Will Be Doing You will gain exposure to a wide range of investment and analytical activities including: • Analysing market, economic and financial data from global sources • Producing investment performance reports and analytical dashboards • Supporting portfolio monitoring and investment research projects • Identifying patterns, trends and anomalies across large datasets • Assisting senior investment professionals with data-driven decision making • Working with financial modelling and forecasting tools • Helping develop automated reporting and business intelligence solutions • Contributing to investment committee presentations and research reports • Monitoring global economic developments and their potential market impact • Collaborating with technology teams to improve data quality and analytical capabilities What We Are Looking For We welcome applications from graduates who possess: • A degree in Finance, Economics, Mathematics, Statistics, Data Science, Business Analytics, Computer Science or a related discipline • Strong analytical and problem-solving abilities • Excellent attention to detail • Advanced Microsoft Excel skills • A genuine interest in investments, financial markets and economic trends • The ability to communicate complex information clearly and effectively • A proactive attitude and willingness to learn What Makes This Opportunity Different Unlike many graduate schemes that spend months rotating candidates through administrative departments, this programme places you directly into a specialist investment analytics team where your work will contribute to real investment decisions. You will receive structured mentoring from experienced investment professionals, exposure to sophisticated market intelligence platforms, and opportunities to work alongside teams operating across Europe, Asia, and North America. Successful graduates have progressed into positions including: • Investment Analyst • Portfolio Analyst • Quantitative Research Analyst • Investment Strategy Associate • Data & Insights Manager • Portfolio Manager Benefits & Rewards • Competitive starting salary of £42,000 - £50,000 • Annual performance-related bonus • Private healthcare cover • Hybrid working arrangements • Generous pension contribution scheme • Gym membership allowance • Employee wellbeing programme • Season ticket loan • Enhanced annual leave entitlement • International travel opportunities • Modern Central London offices • Structured graduate development programme • Fast-track progression opportunities Location Based within our prestigious Central London headquarters, with opportunities to collaborate with colleagues across our international office network. If you are looking to build a career where finance, technology, data, and investment strategy come together, we would be delighted to hear from you.
Job Title: Enterprise Information Architect Rate: £670 (Inside IR35) Duration: 6 months Location: Remote with occasional visits to London Clearance: BPSS Stages: 1 Stage Key Responsibilities Document and maintain the enterprise data architecture for both current and target state, in the form of conceptual, logical and physical models Define and maintain enterprise data domains (eg property, asset, lease, customer, finance) and associated canonical models, semantic layers and ontologies Align business, digital and data strategies to support the business and develop data architecture principles Work with the Enterprise Architect to build and maintain appropriate Enterprise Architecture artefacts including data flows, value chains, taxonomy, data dictionary, and implementation roadmaps guided by business strategy and requirements Work with technical and business teams to understand and document business process, develop requirements and design operational and analytical data models to support business requirements Develop and maintain the enterprise data/information architecture roadmap Work with Data Governance team on the development of data capabilities such as Master Data Management, Data Quality and Data Observability Promote data lineage, traceability, and auditability across key data assets Support and guide master data solutions such as integration between systems and onboarding of new systems and sure alignment between enterprise data models and solution architectures Maintain TCE repository of knowledge for logical meta data mapped to applications Support Solution, Infrastructure, Networks and Security Architects to deliver Digital initiatives Act as a thought leader for enterprise information architecture and mentor and guide data architects, modellers, and analysts Member of the Architecture and Technical Design Authority, providing approvals with respect to architectural decisions across the TCE Digital Estate. Support and guide Data literacy campaigns in content, audience and delivery. Key Skills Significant experience working in enterprise-level data architecture and able to act as a thought leader in this space Experience working in complex, asset-heavy or real estate environments Experience of Finance transformations Ability to influence senior stakeholders and shape strategic decisions Excellent communication skills to translate complex data concepts for both executive and technical audiences, and influence without authority. Expertise in designing end-to-end data architectures (conceptual, logical, physical) across complex ecosystems. Strong experience in canonical models, ontologies, and semantic layers to ensure consistent, business-friendly data representation. Working knowledge of modern data platforms and cloud ecosystems (Azure and Databricks) and AI platforms and how to architect for scalability and performance. Understanding of data governance principles and practices Strong collaboration skills to work with technical and business teams Strong analytical and problem-solving skills Ability to document and present data architecture and models effectively Experience in managing and delivering data-related projects Ability to prioritise tasks and manage time effectively. Desirables Skills Experience of TOGAF, DAMA-DMBOK or a similar architectural framework Experience supporting machine learning, advanced analytics, and digital product initiatives Working knowledge of SQL and/or Python to query and manipulate data Experience in and Agile/Hybrid delivery environment Knowledge of working with EA tooling (for example: Aris, LeanIX) Experience with digital twins and geospatial data.
26/06/2026
Contractor
Job Title: Enterprise Information Architect Rate: £670 (Inside IR35) Duration: 6 months Location: Remote with occasional visits to London Clearance: BPSS Stages: 1 Stage Key Responsibilities Document and maintain the enterprise data architecture for both current and target state, in the form of conceptual, logical and physical models Define and maintain enterprise data domains (eg property, asset, lease, customer, finance) and associated canonical models, semantic layers and ontologies Align business, digital and data strategies to support the business and develop data architecture principles Work with the Enterprise Architect to build and maintain appropriate Enterprise Architecture artefacts including data flows, value chains, taxonomy, data dictionary, and implementation roadmaps guided by business strategy and requirements Work with technical and business teams to understand and document business process, develop requirements and design operational and analytical data models to support business requirements Develop and maintain the enterprise data/information architecture roadmap Work with Data Governance team on the development of data capabilities such as Master Data Management, Data Quality and Data Observability Promote data lineage, traceability, and auditability across key data assets Support and guide master data solutions such as integration between systems and onboarding of new systems and sure alignment between enterprise data models and solution architectures Maintain TCE repository of knowledge for logical meta data mapped to applications Support Solution, Infrastructure, Networks and Security Architects to deliver Digital initiatives Act as a thought leader for enterprise information architecture and mentor and guide data architects, modellers, and analysts Member of the Architecture and Technical Design Authority, providing approvals with respect to architectural decisions across the TCE Digital Estate. Support and guide Data literacy campaigns in content, audience and delivery. Key Skills Significant experience working in enterprise-level data architecture and able to act as a thought leader in this space Experience working in complex, asset-heavy or real estate environments Experience of Finance transformations Ability to influence senior stakeholders and shape strategic decisions Excellent communication skills to translate complex data concepts for both executive and technical audiences, and influence without authority. Expertise in designing end-to-end data architectures (conceptual, logical, physical) across complex ecosystems. Strong experience in canonical models, ontologies, and semantic layers to ensure consistent, business-friendly data representation. Working knowledge of modern data platforms and cloud ecosystems (Azure and Databricks) and AI platforms and how to architect for scalability and performance. Understanding of data governance principles and practices Strong collaboration skills to work with technical and business teams Strong analytical and problem-solving skills Ability to document and present data architecture and models effectively Experience in managing and delivering data-related projects Ability to prioritise tasks and manage time effectively. Desirables Skills Experience of TOGAF, DAMA-DMBOK or a similar architectural framework Experience supporting machine learning, advanced analytics, and digital product initiatives Working knowledge of SQL and/or Python to query and manipulate data Experience in and Agile/Hybrid delivery environment Knowledge of working with EA tooling (for example: Aris, LeanIX) Experience with digital twins and geospatial data.
JuniorData Engineer Role Overview: We are seeking a Junior Data Engineer to support the design, build, and maintenance of data engineering solutions within JD Group. Reporting to a Data Engineering Area Lead and working closely with experienced Data Engineers, you will contribute to the development of data pipelines and datasets that support analytics, reporting, AI, and data product use cases. This role is ideal for someone early in their data engineering career who is keen to develop strong technical foundations, learn modern data engineering practices, and grow their capability through hands on delivery, coaching, and collaboration. Responsibilities Support the development and maintenance of data pipelines for ingestion, transformation, and curation of data from a range of source systems Build and enhance datasets and data models under guidance, ensuring they are accurate and fit for analytics and reporting Deliver well scoped data engineering tasks from defined backlogs, with support from more senior engineers Follow agreed development practices and contribute to incremental delivery of data solutions Take ownership of assigned tasks and see them through to completion Technical Skills & Engineering Practices Write clear, maintainable SQL and Python code with guidance and review from senior team members Apply data engineering standards for version control, documentation, and testing Learn and use approved data engineering tools, frameworks, and cloud platforms Support the reuse of common patterns and components within the team Actively develop understanding of pipeline performance, scalability, and cost considerations Data Quality, Governance & Operation Implement basic data quality checks and validation within pipelines Ensure datasets adhere to agreed governance, security, and access control standards Maintain accurate documentation for pipelines, data models, and datasets Support monitoring, incident investigation, and resolution of data issues Learn operational best practices to help maintain reliable data pipelines Collaboration & Communication Work closely with Data Engineers, analysts, BI developers, and data scientists to understand requirements Participate in team ceremonies, design discussions, and code reviews Communicate progress, questions, and issues clearly to your Area Lead and peers Be open to feedback and actively apply it to improve quality and delivery Learning & Development Build core data engineering skills through hands on delivery, training, and mentoring Develop understanding of the business domain and how data supports decision making Learn modern data engineering patterns, tools, and best practices Contribute to knowledge sharing within the team as experience grows Work towards readiness for progression into a Data Engineer role Role Objectives & KPIs Timely and accurate delivery of assigned data engineering tasks Increasing independence and quality of delivered work over time Well documented, reliable contributions to data pipelines and datasets Positive feedback from peers and managers on collaboration and learning Consistent adherence to data engineering standards and best practices Demonstrable progression in technical capability and confidence Skills and Experience Data Engineering experience Working knowledge of SQL and basic Python Understanding of relational data concepts and data modelling fundamentals Experience working with cloud data platforms or warehouses (ideally "GCP") Familiarity with version control (e.g. Git) and basic development workflows Strong desire to learn modern data engineering tools and practices Ability to follow instructions, ask questions, and learn from feedback Strong attention to detail and commitment to data quality
26/06/2026
Full time
JuniorData Engineer Role Overview: We are seeking a Junior Data Engineer to support the design, build, and maintenance of data engineering solutions within JD Group. Reporting to a Data Engineering Area Lead and working closely with experienced Data Engineers, you will contribute to the development of data pipelines and datasets that support analytics, reporting, AI, and data product use cases. This role is ideal for someone early in their data engineering career who is keen to develop strong technical foundations, learn modern data engineering practices, and grow their capability through hands on delivery, coaching, and collaboration. Responsibilities Support the development and maintenance of data pipelines for ingestion, transformation, and curation of data from a range of source systems Build and enhance datasets and data models under guidance, ensuring they are accurate and fit for analytics and reporting Deliver well scoped data engineering tasks from defined backlogs, with support from more senior engineers Follow agreed development practices and contribute to incremental delivery of data solutions Take ownership of assigned tasks and see them through to completion Technical Skills & Engineering Practices Write clear, maintainable SQL and Python code with guidance and review from senior team members Apply data engineering standards for version control, documentation, and testing Learn and use approved data engineering tools, frameworks, and cloud platforms Support the reuse of common patterns and components within the team Actively develop understanding of pipeline performance, scalability, and cost considerations Data Quality, Governance & Operation Implement basic data quality checks and validation within pipelines Ensure datasets adhere to agreed governance, security, and access control standards Maintain accurate documentation for pipelines, data models, and datasets Support monitoring, incident investigation, and resolution of data issues Learn operational best practices to help maintain reliable data pipelines Collaboration & Communication Work closely with Data Engineers, analysts, BI developers, and data scientists to understand requirements Participate in team ceremonies, design discussions, and code reviews Communicate progress, questions, and issues clearly to your Area Lead and peers Be open to feedback and actively apply it to improve quality and delivery Learning & Development Build core data engineering skills through hands on delivery, training, and mentoring Develop understanding of the business domain and how data supports decision making Learn modern data engineering patterns, tools, and best practices Contribute to knowledge sharing within the team as experience grows Work towards readiness for progression into a Data Engineer role Role Objectives & KPIs Timely and accurate delivery of assigned data engineering tasks Increasing independence and quality of delivered work over time Well documented, reliable contributions to data pipelines and datasets Positive feedback from peers and managers on collaboration and learning Consistent adherence to data engineering standards and best practices Demonstrable progression in technical capability and confidence Skills and Experience Data Engineering experience Working knowledge of SQL and basic Python Understanding of relational data concepts and data modelling fundamentals Experience working with cloud data platforms or warehouses (ideally "GCP") Familiarity with version control (e.g. Git) and basic development workflows Strong desire to learn modern data engineering tools and practices Ability to follow instructions, ask questions, and learn from feedback Strong attention to detail and commitment to data quality
Overview We have an exciting opportunity for an experienced Data Governance Senior Analyst to join our central data team at and Jet2Holidays as we continue our journey towards becoming a fully data driven organisation and embed a data first culture across our business. Benefits Hybrid working (we're in the office 2 days per week) Colleague discounts on flights and Jet2holidays Annual pay reviews What you'll be doing Assist in the rollout of an enterprise wide data governance framework, focusing on one or more of the following areas. Build on our established enterprise data catalogue solution, ensuring it continues to evolve as the central source for documenting data assets across the business. Own and maintain the relationships with Data Owners and Data Stewards in a number of data domains. Drive the adoption and implementation of a data quality by design framework, including people and processes across all areas of Jet2 and its data domains, and define data standards and data quality rules with data delivery teams and self service analytics users. Work with stakeholders across data, security, legal and the business to develop and implement new and existing data practices around the use and management of data both at source and for analytical purposes, supporting our open data policy for all analytical data. What you'll have Experience working in data governance related roles, which could include data cataloguing or data quality tooling. Excellent communication skills, engaging proactively with a wide variety of stakeholders from across the business, covering both technical and non technical roles up to Director level. Familiarity with data analytics platforms is preferred, including experience with data engineering, data analytics, data visualisation and data science teams using platforms such as Alation, Soda, Microsoft SQL Server, Google Cloud Platform, DBT, Snowflake, Tableau and Dataiku (or similar).
26/06/2026
Full time
Overview We have an exciting opportunity for an experienced Data Governance Senior Analyst to join our central data team at and Jet2Holidays as we continue our journey towards becoming a fully data driven organisation and embed a data first culture across our business. Benefits Hybrid working (we're in the office 2 days per week) Colleague discounts on flights and Jet2holidays Annual pay reviews What you'll be doing Assist in the rollout of an enterprise wide data governance framework, focusing on one or more of the following areas. Build on our established enterprise data catalogue solution, ensuring it continues to evolve as the central source for documenting data assets across the business. Own and maintain the relationships with Data Owners and Data Stewards in a number of data domains. Drive the adoption and implementation of a data quality by design framework, including people and processes across all areas of Jet2 and its data domains, and define data standards and data quality rules with data delivery teams and self service analytics users. Work with stakeholders across data, security, legal and the business to develop and implement new and existing data practices around the use and management of data both at source and for analytical purposes, supporting our open data policy for all analytical data. What you'll have Experience working in data governance related roles, which could include data cataloguing or data quality tooling. Excellent communication skills, engaging proactively with a wide variety of stakeholders from across the business, covering both technical and non technical roles up to Director level. Familiarity with data analytics platforms is preferred, including experience with data engineering, data analytics, data visualisation and data science teams using platforms such as Alation, Soda, Microsoft SQL Server, Google Cloud Platform, DBT, Snowflake, Tableau and Dataiku (or similar).
Specialist, Data Analyst & BI Location: Manchester We're seeking a future team member for the role of Specialist, Data Analyst & BI to join our Trustee & Depositary (T&D) Engineering organization. This role is located in Manchester and plays a key part in driving our T&D Modernisation agenda. Position Overview You will operate as a core POD team member, contributing hands on engineering expertise while embracing an agile and AI first mindset to deliver high quality, scalable, and secure technology solutions. Responsibilities Analyze and interpret complex internal datasets and relevant market intelligence to support T&D Engineering and modernization objectives. Design, build and maintain automated data pipelines, datasets, dashboards and visualizations using modern business intelligence and analytics tools. Act as an active team member within an agile POD, collaborating closely with engineers, product owners and business stakeholders to deliver scalable analytics solutions. Apply an AI first mindset by leveraging advanced analytics, automation and emerging AI capabilities to improve data quality, insight generation and operational efficiency. Ensure high data quality and integrity by validating, reconciling and troubleshooting data from multiple internal and external sources. Qualifications Bachelor's degree in a quantitative, analytical or STEM related field, or an equivalent combination of education and experience. Experience in data analysis, business intelligence or a closely related analytical role. Hands on experience with data analysis and BI tools, including the creation of dashboards, reports and automated data workflows. Strong analytical and problem solving skills, with a solid understanding of data quality, validation and basic data modelling concepts. Experience working in, or strong interest in, agile delivery models, with the ability to communicate data insights clearly to both technical and non technical audiences. Benefits and Rewards BNY offers highly competitive compensation, benefits and wellbeing programs rooted in a strong culture of excellence and a pay for performance philosophy. We provide access to flexible global resources and tools to support your life's journey, focusing on health, resilience and financial goals, along with generous paid leave, including paid volunteer time. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups, Females, Individuals with Disabilities and Protected Veterans.
26/06/2026
Full time
Specialist, Data Analyst & BI Location: Manchester We're seeking a future team member for the role of Specialist, Data Analyst & BI to join our Trustee & Depositary (T&D) Engineering organization. This role is located in Manchester and plays a key part in driving our T&D Modernisation agenda. Position Overview You will operate as a core POD team member, contributing hands on engineering expertise while embracing an agile and AI first mindset to deliver high quality, scalable, and secure technology solutions. Responsibilities Analyze and interpret complex internal datasets and relevant market intelligence to support T&D Engineering and modernization objectives. Design, build and maintain automated data pipelines, datasets, dashboards and visualizations using modern business intelligence and analytics tools. Act as an active team member within an agile POD, collaborating closely with engineers, product owners and business stakeholders to deliver scalable analytics solutions. Apply an AI first mindset by leveraging advanced analytics, automation and emerging AI capabilities to improve data quality, insight generation and operational efficiency. Ensure high data quality and integrity by validating, reconciling and troubleshooting data from multiple internal and external sources. Qualifications Bachelor's degree in a quantitative, analytical or STEM related field, or an equivalent combination of education and experience. Experience in data analysis, business intelligence or a closely related analytical role. Hands on experience with data analysis and BI tools, including the creation of dashboards, reports and automated data workflows. Strong analytical and problem solving skills, with a solid understanding of data quality, validation and basic data modelling concepts. Experience working in, or strong interest in, agile delivery models, with the ability to communicate data insights clearly to both technical and non technical audiences. Benefits and Rewards BNY offers highly competitive compensation, benefits and wellbeing programs rooted in a strong culture of excellence and a pay for performance philosophy. We provide access to flexible global resources and tools to support your life's journey, focusing on health, resilience and financial goals, along with generous paid leave, including paid volunteer time. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups, Females, Individuals with Disabilities and Protected Veterans.
Newcastle, United Kingdom Posted on 07/05/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Overview: We are seeking an experienced Performance Analyst (SFIA 5) to lead performance measurement and analytics across complex digital services. This role focuses on embedding data-driven decision-making, ensuring services are designed and continuously improved based on user needs and measurable outcomes. You will operate at a strategic level, defining performance standards, advising senior stakeholders, and working across multidisciplinary teams to deliver impactful digital services at scale. Key Responsibilities: Performance Leadership & Strategic Measurement Lead and embed performance analysis across complex services or delivery areas Design and implement performance measurement frameworks, including KPIs and user-focused metrics Ensure alignment with Government Digital Service (GDS) standards and best practices Establish and maintain high-quality performance analytics standards Insight Generation & Decision Support Analyse data from multiple sources (user, service, and operational data) to generate actionable insights Translate complex data into clear narratives, dashboards, and recommendations Support teams in designing and iterating services with measurable outcomes Work closely with Product Managers, Delivery Managers, User Researchers, Designers, and Data Scientists Provide guidance on measurement strategies and interpretation of results Support decision-making in complex and ambiguous environments Capability Building & Leadership Coach and mentor analysts, ensuring quality and consistency in outputs Contribute to and lead communities of practice within performance analytics Define and promote standards, tools, and best practices Required Skills & Experience: Extensive experience in performance analysis for digital services, ideally within large-scale or complex environments Strong expertise in designing performance measurement frameworks, KPIs, and user-focused metrics Proven ability to generate insights from multiple data sources and provide data-driven recommendations Strong stakeholder management and influencing skills, including engagement with senior leadership Excellent communication and data storytelling skills Advanced experience with analytical tools such as: SQL Web analytics platforms (e.g., Google Analytics) Dashboarding tools (e.g., Power BI, Looker Studio) Experience working on public sector or government digital services Experience defining performance strategies across multiple teams or programmes Experience mentoring or leading analyst teams Experience working in hybrid or distributed delivery environments Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from underrepresented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.
26/06/2026
Full time
Newcastle, United Kingdom Posted on 07/05/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Overview: We are seeking an experienced Performance Analyst (SFIA 5) to lead performance measurement and analytics across complex digital services. This role focuses on embedding data-driven decision-making, ensuring services are designed and continuously improved based on user needs and measurable outcomes. You will operate at a strategic level, defining performance standards, advising senior stakeholders, and working across multidisciplinary teams to deliver impactful digital services at scale. Key Responsibilities: Performance Leadership & Strategic Measurement Lead and embed performance analysis across complex services or delivery areas Design and implement performance measurement frameworks, including KPIs and user-focused metrics Ensure alignment with Government Digital Service (GDS) standards and best practices Establish and maintain high-quality performance analytics standards Insight Generation & Decision Support Analyse data from multiple sources (user, service, and operational data) to generate actionable insights Translate complex data into clear narratives, dashboards, and recommendations Support teams in designing and iterating services with measurable outcomes Work closely with Product Managers, Delivery Managers, User Researchers, Designers, and Data Scientists Provide guidance on measurement strategies and interpretation of results Support decision-making in complex and ambiguous environments Capability Building & Leadership Coach and mentor analysts, ensuring quality and consistency in outputs Contribute to and lead communities of practice within performance analytics Define and promote standards, tools, and best practices Required Skills & Experience: Extensive experience in performance analysis for digital services, ideally within large-scale or complex environments Strong expertise in designing performance measurement frameworks, KPIs, and user-focused metrics Proven ability to generate insights from multiple data sources and provide data-driven recommendations Strong stakeholder management and influencing skills, including engagement with senior leadership Excellent communication and data storytelling skills Advanced experience with analytical tools such as: SQL Web analytics platforms (e.g., Google Analytics) Dashboarding tools (e.g., Power BI, Looker Studio) Experience working on public sector or government digital services Experience defining performance strategies across multiple teams or programmes Experience mentoring or leading analyst teams Experience working in hybrid or distributed delivery environments Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from underrepresented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.
Applications closing date: 29 May 2026. This role sits within Analytics Sales Platform of our Customer Analytics & Data Solutions Division. As a Senior Digital Analyst, you'll deliver advanced analytics and insights that drive business performance and customer experience improvements within a specific domain at TUI. Working within the Customer Analytics & Data Solutions function, you'll conduct complex analyses, develop reporting solutions, and translate data into actionable recommendations while serving as a subject matter expert, providing analytical guidance to stakeholders and mentoring junior team members. ABOUT OUR OFFER Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more. Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment. A career to shape: Access the TUI Learning Hub to level up and reach your ambitions. Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams. Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation. ABOUT THE JOB You'll conduct complex data analysis to identify trends, patterns, and opportunities that drive business value, analyzing customer journeys, conversion funnels, and identifying key performance drivers. We'll look to you to design and maintain dashboards and reporting solutions, creating interactive visualisations while ensuring data accuracy and automating processes where possible. You'll translate complex analytical findings into clear narratives and actionable recommendations, developing business cases and communicating technical concepts to non technical audiences. Serving as a subject matter expert, you'll provide guidance on analytical approaches, answer complex questions, and mentor junior analysts on technical skills. Your collaboration skills will be essential as you work with cross functional teams to understand business requirements, develop analytical plans, and align analytics work with business objectives. The role involves implementing process improvements, documenting methodologies, creating reusable templates, and standardising analytical approaches to enhance delivery efficiency. You'll proactively identify opportunities for analytics to add value, proposing and leading initiatives that drive performance improvements and suggesting new metrics to track. Staying current with analytics tools and industry trends will be important as you continuously develop skills, apply new techniques, and share knowledge with team members. ABOUT YOU You bring strong analytical skills with the ability to work with complex datasets and derive meaningful insights, along with proficiency in analytics and visualisation tools like Adobe Analytics, Tableau, Power BI, and Google Analytics. Experience with digital analytics, dataLayers, A/B testing, data visualisation best practices, and data governance principles. You have excellent communication skills with the ability to present complex findings clearly and experience with data storytelling and communicating results to senior leaders. You demonstrate strong problem solving skills, attention to detail, and the ability to work independently while managing multiple priorities in a collaborative environment. You demonstrate strong stakeholder management skills with the ability to build relationships at various levels, along with project management experience and a problem solving mindset focused on delivering business value. From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.
26/06/2026
Full time
Applications closing date: 29 May 2026. This role sits within Analytics Sales Platform of our Customer Analytics & Data Solutions Division. As a Senior Digital Analyst, you'll deliver advanced analytics and insights that drive business performance and customer experience improvements within a specific domain at TUI. Working within the Customer Analytics & Data Solutions function, you'll conduct complex analyses, develop reporting solutions, and translate data into actionable recommendations while serving as a subject matter expert, providing analytical guidance to stakeholders and mentoring junior team members. ABOUT OUR OFFER Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more. Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment. A career to shape: Access the TUI Learning Hub to level up and reach your ambitions. Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams. Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation. ABOUT THE JOB You'll conduct complex data analysis to identify trends, patterns, and opportunities that drive business value, analyzing customer journeys, conversion funnels, and identifying key performance drivers. We'll look to you to design and maintain dashboards and reporting solutions, creating interactive visualisations while ensuring data accuracy and automating processes where possible. You'll translate complex analytical findings into clear narratives and actionable recommendations, developing business cases and communicating technical concepts to non technical audiences. Serving as a subject matter expert, you'll provide guidance on analytical approaches, answer complex questions, and mentor junior analysts on technical skills. Your collaboration skills will be essential as you work with cross functional teams to understand business requirements, develop analytical plans, and align analytics work with business objectives. The role involves implementing process improvements, documenting methodologies, creating reusable templates, and standardising analytical approaches to enhance delivery efficiency. You'll proactively identify opportunities for analytics to add value, proposing and leading initiatives that drive performance improvements and suggesting new metrics to track. Staying current with analytics tools and industry trends will be important as you continuously develop skills, apply new techniques, and share knowledge with team members. ABOUT YOU You bring strong analytical skills with the ability to work with complex datasets and derive meaningful insights, along with proficiency in analytics and visualisation tools like Adobe Analytics, Tableau, Power BI, and Google Analytics. Experience with digital analytics, dataLayers, A/B testing, data visualisation best practices, and data governance principles. You have excellent communication skills with the ability to present complex findings clearly and experience with data storytelling and communicating results to senior leaders. You demonstrate strong problem solving skills, attention to detail, and the ability to work independently while managing multiple priorities in a collaborative environment. You demonstrate strong stakeholder management skills with the ability to build relationships at various levels, along with project management experience and a problem solving mindset focused on delivering business value. From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.
Business Intelligence Lead - Adults & Housing Location: Shrewsbury / Hybrid Working Contract: Fixed Term - 18 Months Hours: 37 Hours per Week The Role We are seeking an experienced Business Intelligence Lead to support Adult Social Care and Housing services through the delivery of high-quality performance management, business intelligence, forecasting, and strategic insight. Reporting to the BI Strategic Lead, you will act as the principal point of contact for senior leaders across Adult Services and Housing, providing data-driven insight to support decision making, service improvement, transformation programmes, and regulatory assurance. This is a highly visible role, working closely with Directors, Heads of Service, operational managers, and external partners to develop an evidence led approach to service delivery. You will lead the provision of performance reporting, demand forecasting, business intelligence, and analytical support to ensure services can effectively respond to current and future challenges. Key Responsibilities Act as the lead business intelligence partner for Adult Social Care and Housing Services. Provide strategic analysis, performance reporting, and actionable insight to senior leaders and stakeholders. Lead intelligence and analytical support for service transformation and improvement programmes. Support regulatory inspections, peer reviews, and assurance activities through the provision of robust performance evidence. Develop forecasting models and demand analysis to support service planning and resource allocation. Lead initiatives to improve data quality, governance, and performance management. Design and promote interactive dashboards and self service reporting solutions. Identify trends, risks, and opportunities through advanced data analysis and communicate findings effectively to non-technical audiences. Coordinate business intelligence projects across multiple services and stakeholders. Manage and develop a team of analysts, ensuring delivery of high-quality outputs and continuous professional development. Work collaboratively with internal and external partners to enhance the availability, accessibility, and use of data across services. Skills & Experience Required Significant experience in Business Intelligence, Performance Management, Analytics, or Insight functions. Strong experience using Power BI, SQL, and data visualisation tools. Experience delivering performance reporting, dashboards, and analytical solutions for senior stakeholders. Demonstrable experience of forecasting, demand modelling, and trend analysis. Strong stakeholder management skills with the ability to influence senior leaders and challenge constructively using evidence. Experience leading or supporting service transformation and improvement programmes. Experience managing teams and coordinating analytical resources. Desirable Experience Experience within Local Government, Adult Social Care, Housing, NHS, or wider Public Sector environments. Knowledge of regulatory and inspection frameworks, including CQC requirements. Experience supporting statutory returns, benchmarking, and performance assurance activities. Ideal Candidate The successful candidate will combine strong technical and analytical capability with excellent leadership and stakeholder engagement skills. You will be comfortable operating at both strategic and operational levels, using data and insight to influence decision making, improve services, and support organisational transformation.
26/06/2026
Full time
Business Intelligence Lead - Adults & Housing Location: Shrewsbury / Hybrid Working Contract: Fixed Term - 18 Months Hours: 37 Hours per Week The Role We are seeking an experienced Business Intelligence Lead to support Adult Social Care and Housing services through the delivery of high-quality performance management, business intelligence, forecasting, and strategic insight. Reporting to the BI Strategic Lead, you will act as the principal point of contact for senior leaders across Adult Services and Housing, providing data-driven insight to support decision making, service improvement, transformation programmes, and regulatory assurance. This is a highly visible role, working closely with Directors, Heads of Service, operational managers, and external partners to develop an evidence led approach to service delivery. You will lead the provision of performance reporting, demand forecasting, business intelligence, and analytical support to ensure services can effectively respond to current and future challenges. Key Responsibilities Act as the lead business intelligence partner for Adult Social Care and Housing Services. Provide strategic analysis, performance reporting, and actionable insight to senior leaders and stakeholders. Lead intelligence and analytical support for service transformation and improvement programmes. Support regulatory inspections, peer reviews, and assurance activities through the provision of robust performance evidence. Develop forecasting models and demand analysis to support service planning and resource allocation. Lead initiatives to improve data quality, governance, and performance management. Design and promote interactive dashboards and self service reporting solutions. Identify trends, risks, and opportunities through advanced data analysis and communicate findings effectively to non-technical audiences. Coordinate business intelligence projects across multiple services and stakeholders. Manage and develop a team of analysts, ensuring delivery of high-quality outputs and continuous professional development. Work collaboratively with internal and external partners to enhance the availability, accessibility, and use of data across services. Skills & Experience Required Significant experience in Business Intelligence, Performance Management, Analytics, or Insight functions. Strong experience using Power BI, SQL, and data visualisation tools. Experience delivering performance reporting, dashboards, and analytical solutions for senior stakeholders. Demonstrable experience of forecasting, demand modelling, and trend analysis. Strong stakeholder management skills with the ability to influence senior leaders and challenge constructively using evidence. Experience leading or supporting service transformation and improvement programmes. Experience managing teams and coordinating analytical resources. Desirable Experience Experience within Local Government, Adult Social Care, Housing, NHS, or wider Public Sector environments. Knowledge of regulatory and inspection frameworks, including CQC requirements. Experience supporting statutory returns, benchmarking, and performance assurance activities. Ideal Candidate The successful candidate will combine strong technical and analytical capability with excellent leadership and stakeholder engagement skills. You will be comfortable operating at both strategic and operational levels, using data and insight to influence decision making, improve services, and support organisational transformation.
AI Business AnalystApplylocations: London - Paddingtontime type: Full timeposted on: Posted 4 Days Agotime left to apply: End Date: July 17, 2026 (30+ days left to apply)job requisition id: JR101694The AI Business Analyst is responsible for identifying, shaping and supporting the delivery of AI enabled business change across JCDecaux UK. The role focuses on understanding business objectives and pain points, translating them into clear AI and data use cases, and working with technical teams to ensure successful implementation and adoption of AI solutions. Acting as a bridge between business and IT, the AI Business Analyst helps prioritise and govern AI initiatives, ensuring they deliver measurable value and align with strategic goals. The role plays a key part in embedding JCDecaux UK's vision and mission by using AI, data and automation to drive growth, efficiency and high service levels for internal and external stakeholders. What you'll be doing Work with business stakeholders to identify opportunities where AI and advanced analytics can add value, and maintain an AI opportunity pipeline with value, risk and dependencies. Facilitate workshops, interviews and discovery sessions to elicit business problems, desired outcomes and success measures, turning them into well defined AI use cases and requirements. Elicit, analyse and document business, functional and non functional requirements, producing artefacts such as BRDs, user stories, process maps and data requirements for data and engineering teams. Assess feasibility, value and impact of AI initiatives, contributing to business cases and supporting prioritisation across the IT and transformation portfolio. Analyse "as is" processes and design "to be" AI enabled processes that embed models, decision support and automation in a controlled, measurable way. Define business data requirements, support data discovery and profiling, and contribute to documentation that improves data transparency and reuse. Support solution design, proofs of concept, pilots and business facing testing (including UAT and validation of model outputs), capturing feedback to refine solutions. Act as liaison between business units and technical teams, managing stakeholder expectations and communicating progress, risks and outcomes to all levels, including senior management. Support project and change management activities, including planning, RAID management, adoption strategies, training materials and user training for AI enabled changes. Define and monitor KPIs and success metrics for AI initiatives, review performance to identify optimisation opportunities, and contribute to continuous improvement of AI delivery practices and standards. A little bit about you A little about you Degree in Business, Computer Science, Data Science, Engineering, Mathematics or a closely related discipline. At least 7 years' experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects. Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi stakeholder environments. Proven experience working with data focused teams (data scientists, data engineers, analysts) and understanding their methods, tools and constraints. Familiarity with agile delivery methods (e.g. Scrum, Kanban) and tools such as Jira or Azure DevOps. Strong analytical and problem solving skills, able to quickly understand business domains, processes and data landscapes. Ability to translate complex technical and statistical concepts into clear, business friendly language for non technical stakeholders. Excellent communication, facilitation and stakeholder management skills, including running workshops and presenting to senior audiences Desired but not essential Business analysis and/or project qualifications (e.g. BCS BA, IIBA CBAP/CCBA, Agile BA, PRINCE2, Scrum, PMI PBA). Training or certification in data analytics, AI or machine learning. Exposure to cloud based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau). Experience supporting change management, training and adoption for technology driven initiatives. Experience in media, advertising or related sectors A little bit more about us We believe in building a diverse and inclusive culture and positive employee experience. We are One Team, more than just ourselves. We are customer first, we understand, and help solve our customers' problems. We Test & Learn, we are empowered to learn and grow, unafraid of change. We choose to care, we are committed to doing the right thing, the right way. It's really important to us that we give as much to our colleagues as they give to us. Our latest Belonging Survey showed that our colleagues feel valued and listened to as we continue to build an environment where everyone can thrive, grow, belong and be their authentic selves.We believe that diversity of thought, experience and background provides the platform for great creativity,We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.Many of our Colleagues work flexibly in many different ways. Please talk to us at interview about the flexibility you need. We can't promise to give you exactly what you want, but we do promise not to judge you for asking. About our recruitment process 1. You find or get sent this job advert, read it, and feel like you're you'd be a great addition to the JCD family.2. You send in your application to let us know you're interested.3. We see your application, get excited, and give you a call.4. You'll meet us twice, depending on the role prepare a presentation and we'll get to know each other.5. You'll begin your journey with us, we're excited to support and develop you throughout your career.
26/06/2026
Full time
AI Business AnalystApplylocations: London - Paddingtontime type: Full timeposted on: Posted 4 Days Agotime left to apply: End Date: July 17, 2026 (30+ days left to apply)job requisition id: JR101694The AI Business Analyst is responsible for identifying, shaping and supporting the delivery of AI enabled business change across JCDecaux UK. The role focuses on understanding business objectives and pain points, translating them into clear AI and data use cases, and working with technical teams to ensure successful implementation and adoption of AI solutions. Acting as a bridge between business and IT, the AI Business Analyst helps prioritise and govern AI initiatives, ensuring they deliver measurable value and align with strategic goals. The role plays a key part in embedding JCDecaux UK's vision and mission by using AI, data and automation to drive growth, efficiency and high service levels for internal and external stakeholders. What you'll be doing Work with business stakeholders to identify opportunities where AI and advanced analytics can add value, and maintain an AI opportunity pipeline with value, risk and dependencies. Facilitate workshops, interviews and discovery sessions to elicit business problems, desired outcomes and success measures, turning them into well defined AI use cases and requirements. Elicit, analyse and document business, functional and non functional requirements, producing artefacts such as BRDs, user stories, process maps and data requirements for data and engineering teams. Assess feasibility, value and impact of AI initiatives, contributing to business cases and supporting prioritisation across the IT and transformation portfolio. Analyse "as is" processes and design "to be" AI enabled processes that embed models, decision support and automation in a controlled, measurable way. Define business data requirements, support data discovery and profiling, and contribute to documentation that improves data transparency and reuse. Support solution design, proofs of concept, pilots and business facing testing (including UAT and validation of model outputs), capturing feedback to refine solutions. Act as liaison between business units and technical teams, managing stakeholder expectations and communicating progress, risks and outcomes to all levels, including senior management. Support project and change management activities, including planning, RAID management, adoption strategies, training materials and user training for AI enabled changes. Define and monitor KPIs and success metrics for AI initiatives, review performance to identify optimisation opportunities, and contribute to continuous improvement of AI delivery practices and standards. A little bit about you A little about you Degree in Business, Computer Science, Data Science, Engineering, Mathematics or a closely related discipline. At least 7 years' experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects. Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi stakeholder environments. Proven experience working with data focused teams (data scientists, data engineers, analysts) and understanding their methods, tools and constraints. Familiarity with agile delivery methods (e.g. Scrum, Kanban) and tools such as Jira or Azure DevOps. Strong analytical and problem solving skills, able to quickly understand business domains, processes and data landscapes. Ability to translate complex technical and statistical concepts into clear, business friendly language for non technical stakeholders. Excellent communication, facilitation and stakeholder management skills, including running workshops and presenting to senior audiences Desired but not essential Business analysis and/or project qualifications (e.g. BCS BA, IIBA CBAP/CCBA, Agile BA, PRINCE2, Scrum, PMI PBA). Training or certification in data analytics, AI or machine learning. Exposure to cloud based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau). Experience supporting change management, training and adoption for technology driven initiatives. Experience in media, advertising or related sectors A little bit more about us We believe in building a diverse and inclusive culture and positive employee experience. We are One Team, more than just ourselves. We are customer first, we understand, and help solve our customers' problems. We Test & Learn, we are empowered to learn and grow, unafraid of change. We choose to care, we are committed to doing the right thing, the right way. It's really important to us that we give as much to our colleagues as they give to us. Our latest Belonging Survey showed that our colleagues feel valued and listened to as we continue to build an environment where everyone can thrive, grow, belong and be their authentic selves.We believe that diversity of thought, experience and background provides the platform for great creativity,We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.Many of our Colleagues work flexibly in many different ways. Please talk to us at interview about the flexibility you need. We can't promise to give you exactly what you want, but we do promise not to judge you for asking. About our recruitment process 1. You find or get sent this job advert, read it, and feel like you're you'd be a great addition to the JCD family.2. You send in your application to let us know you're interested.3. We see your application, get excited, and give you a call.4. You'll meet us twice, depending on the role prepare a presentation and we'll get to know each other.5. You'll begin your journey with us, we're excited to support and develop you throughout your career.
AI Business AnalystApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: JR530The Value of Active Minds About Jupiter Jupiter is one of the UK's leading investment management companies with just under 500 employees and £54 billion worth of assets under management (as at 31st December 2025). Jupiter provides investment services to individual and institutional investors through mutual funds (UK unit trusts, Luxembourg SICAVs and Dublin OEICs), separately managed accounts and sub-advised funds. Jupiter has experienced a period of international growth with offices open in EMEA and APAC.The majority of our employees are based in our London office located just minutes from Victoria station which provides stair-free access from both the Underground's Victoria line and National Rail platforms, as well as limited road crossings to the Jupiter office. Our London office was designed to encourage employees to live active, healthy lives with floor-to-ceiling windows that allow for greater natural light and the benefit of a private balcony, table tennis room, cycle storage and on-site shower and locker facilities. The short distance to Green Park and St James' Park also provides employees with a natural space to relax during their lunch break and a healthy alternative to office-based meetings.We offer our UK employees a 3:2 hybrid working arrangement where Tuesdays, Thursdays and a third day of your choice are worked from the office. The other two days may be worked from home. This facilitates collaboration and allows employees to maximise productivity whilst maintaining a healthy work/life balance. Background The AI & Automation team at Jupiter plays a pivotal role in transforming business processes across the organisation to make them more efficient, auditable, and scalable. The team, comprising developers, analysts, and automation specialists, supports projects from initial discovery through to delivery and maintenance, leveraging technologies and workflow platforms to drive digital transformation. We are looking for a Business Analyst with expertise in asset management to drive AI initiatives. The role will involve supporting the development of bespoke AI solutions, assessing and onboarding AI service providers, and contributing to the enhancement and implementation of Jupiter's AI governance framework.This is an exciting opportunity to contribute to organisational change with frontier technologies. Successful candidates will be given the freedom to experiment with AI tooling to creatively solve automation problems and design new workflows with AI at their core. Key Responsibilities AI Review & Discovery Conduct structured AI temperature checks across all business functions: assessing current AI usage, tool fit, and adoption readiness Work with teams across the organisation to capture requirements, validate use cases and assess feasibility, risks and value Identify whether teams are using the right tooling (i.e. Claude, ChatGPT, AI built-in to software products, or other) and flag gaps, risks or opportunities Build and maintain a clear view of AI activity across the firm, feeding structured insight into the AI roadmap Workflow Analysis & Use Case Development Map and analyse current and target processes to identify where AI can enhance insight, efficiency or decision support while maintaining required human oversight Prioritise use cases that deliver meaningful time savings, quality improvements or cognitive load reduction for high-value roles Assist in the design, testing and evaluation of AI tools, including prompt design, data inputs, controls, transparency requirements and oversight checkpoints Identify and document case studies where AI has delivered measurable value, contributing to the business case for continued investment Rollout & Adoption Provide hands-on embedding support, sitting with teams across the business to implement AI tools in their day-to-day workflows Deliver training sessions and produce accessible, practical materials for non-technical users across all functions Build reusable assets including prompt libraries, skills, quick reference guides and resources for the AI programme hub Support users in understanding AI capabilities, limitations, oversight obligations and safe use practices Governance & Compliance Support the implementation and adoption of AI solutions ensuring alignment with Jupiter's AI Framework and regulatory expectations Produce clear documentation including requirements, process maps, risk considerations, user guides and governance artefacts Collaborate with developers, IT, compliance and risk to ensure AI solutions meet business needs, integrate effectively with existing platforms and follow data governance standards Where required, lead RFPs and assist Procurement, Legal and Risk by gathering supplier information and supporting due diligence Help define KRIs, dashboards and MI that track AI risks, incidents, supplier status, usage and training coverage Stakeholder Engagement & Communication Communicate progress, risks and insights clearly to stakeholders at all levels, advocating for responsible and value-driven AI adoption across the organisation Facilitate workshops and present findings and recommendations to groups across the business Collaborate with the AI Transformation Lead to prepare updates for senior stakeholders. Actively keep pace with developments in AI: staying informed on model capabilities, emerging tools, regulatory changes and industry trends, and able to translate these into meaningful opportunities or risks for the business Desired Skills / Experience Essential 3+ years of experience as a Business Analyst, Process Analyst or transformation consultant, with exposure to a range of business functions or equivalent demonstrated depth in AI tooling and adoption Practical, working knowledge of AI productivity tools such as Claude or ChatGPT, with an understanding of their strengths, limitations and the techniques required to overcome challenges such as hallucinations, prompt sensitivity and data handling constraints A natural AI advocate: confident promoting responsible adoption, educating stakeholders and helping build a culture that understands both the opportunities and the obligations of AI Strong stakeholder engagement and communication skills, with the ability to translate technical concepts into clear business value for non-technical audiences Experience facilitating workshops and presenting to groups across different seniority levels Hands-on experience supporting technology or data-driven transformation projects, preferably involving AI, analytics or digital tooling Strong understanding of business process design, mapping and re-engineering, ideally with BPMN 2.0 exposure Experience with process and solution design tools such as IBM Blueworks, Lucidchart or Visio Demonstrated ability to support delivery from requirements through testing and adoption, ensuring solutions are well governed and business ready Proactive interest in the evolving regulatory landscape for AI, including data protection, conduct considerations and emerging AI-specific requirements such as the EU AI Act and FCA expectations Genuine interest in AI governance and control design. Able to translate regulatory and internal policy expectations into practical controls, design choices and documentation. Organised, analytical and proactive, with strong problem-solving and prioritisation skills Desirable Experience working across a broad range of business functions in an asset management or investment management firm, rather than a single team or desk Familiarity with asset management platforms such as Aladdin, or data platforms such as Snowflake Experience delivering training or change management programmes for non-technical users in a regulated environment Previous experience where a clean, structured handover to a permanent team was a core deliverable Familiarity with system design and integration concepts such as APIs, webhooks and MCP servers, with sufficient technical fluency to reason about how AI tools connect to existing systems and where the integration boundaries sit Track record of building reusable assets such as prompt libraries, playbooks or governance documentation as part of an AI or technology programme Genuine enthusiasm for AI and emerging technology. Actively experiments with new tools, follows developments in the space, and translates that curiosity into practical ideas for the business Additional Role Details This role is subject to the Conduct Rules set by the FCA. Don't meet every requirement? At Jupiter we are dedicated to building a diverse and inclusive workplace, so if you are interested in this role, but don't think your experience aligns perfectly with every listed requirement in the job description, we would encourage you to apply. You may be the right person for this role.
26/06/2026
Full time
AI Business AnalystApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: JR530The Value of Active Minds About Jupiter Jupiter is one of the UK's leading investment management companies with just under 500 employees and £54 billion worth of assets under management (as at 31st December 2025). Jupiter provides investment services to individual and institutional investors through mutual funds (UK unit trusts, Luxembourg SICAVs and Dublin OEICs), separately managed accounts and sub-advised funds. Jupiter has experienced a period of international growth with offices open in EMEA and APAC.The majority of our employees are based in our London office located just minutes from Victoria station which provides stair-free access from both the Underground's Victoria line and National Rail platforms, as well as limited road crossings to the Jupiter office. Our London office was designed to encourage employees to live active, healthy lives with floor-to-ceiling windows that allow for greater natural light and the benefit of a private balcony, table tennis room, cycle storage and on-site shower and locker facilities. The short distance to Green Park and St James' Park also provides employees with a natural space to relax during their lunch break and a healthy alternative to office-based meetings.We offer our UK employees a 3:2 hybrid working arrangement where Tuesdays, Thursdays and a third day of your choice are worked from the office. The other two days may be worked from home. This facilitates collaboration and allows employees to maximise productivity whilst maintaining a healthy work/life balance. Background The AI & Automation team at Jupiter plays a pivotal role in transforming business processes across the organisation to make them more efficient, auditable, and scalable. The team, comprising developers, analysts, and automation specialists, supports projects from initial discovery through to delivery and maintenance, leveraging technologies and workflow platforms to drive digital transformation. We are looking for a Business Analyst with expertise in asset management to drive AI initiatives. The role will involve supporting the development of bespoke AI solutions, assessing and onboarding AI service providers, and contributing to the enhancement and implementation of Jupiter's AI governance framework.This is an exciting opportunity to contribute to organisational change with frontier technologies. Successful candidates will be given the freedom to experiment with AI tooling to creatively solve automation problems and design new workflows with AI at their core. Key Responsibilities AI Review & Discovery Conduct structured AI temperature checks across all business functions: assessing current AI usage, tool fit, and adoption readiness Work with teams across the organisation to capture requirements, validate use cases and assess feasibility, risks and value Identify whether teams are using the right tooling (i.e. Claude, ChatGPT, AI built-in to software products, or other) and flag gaps, risks or opportunities Build and maintain a clear view of AI activity across the firm, feeding structured insight into the AI roadmap Workflow Analysis & Use Case Development Map and analyse current and target processes to identify where AI can enhance insight, efficiency or decision support while maintaining required human oversight Prioritise use cases that deliver meaningful time savings, quality improvements or cognitive load reduction for high-value roles Assist in the design, testing and evaluation of AI tools, including prompt design, data inputs, controls, transparency requirements and oversight checkpoints Identify and document case studies where AI has delivered measurable value, contributing to the business case for continued investment Rollout & Adoption Provide hands-on embedding support, sitting with teams across the business to implement AI tools in their day-to-day workflows Deliver training sessions and produce accessible, practical materials for non-technical users across all functions Build reusable assets including prompt libraries, skills, quick reference guides and resources for the AI programme hub Support users in understanding AI capabilities, limitations, oversight obligations and safe use practices Governance & Compliance Support the implementation and adoption of AI solutions ensuring alignment with Jupiter's AI Framework and regulatory expectations Produce clear documentation including requirements, process maps, risk considerations, user guides and governance artefacts Collaborate with developers, IT, compliance and risk to ensure AI solutions meet business needs, integrate effectively with existing platforms and follow data governance standards Where required, lead RFPs and assist Procurement, Legal and Risk by gathering supplier information and supporting due diligence Help define KRIs, dashboards and MI that track AI risks, incidents, supplier status, usage and training coverage Stakeholder Engagement & Communication Communicate progress, risks and insights clearly to stakeholders at all levels, advocating for responsible and value-driven AI adoption across the organisation Facilitate workshops and present findings and recommendations to groups across the business Collaborate with the AI Transformation Lead to prepare updates for senior stakeholders. Actively keep pace with developments in AI: staying informed on model capabilities, emerging tools, regulatory changes and industry trends, and able to translate these into meaningful opportunities or risks for the business Desired Skills / Experience Essential 3+ years of experience as a Business Analyst, Process Analyst or transformation consultant, with exposure to a range of business functions or equivalent demonstrated depth in AI tooling and adoption Practical, working knowledge of AI productivity tools such as Claude or ChatGPT, with an understanding of their strengths, limitations and the techniques required to overcome challenges such as hallucinations, prompt sensitivity and data handling constraints A natural AI advocate: confident promoting responsible adoption, educating stakeholders and helping build a culture that understands both the opportunities and the obligations of AI Strong stakeholder engagement and communication skills, with the ability to translate technical concepts into clear business value for non-technical audiences Experience facilitating workshops and presenting to groups across different seniority levels Hands-on experience supporting technology or data-driven transformation projects, preferably involving AI, analytics or digital tooling Strong understanding of business process design, mapping and re-engineering, ideally with BPMN 2.0 exposure Experience with process and solution design tools such as IBM Blueworks, Lucidchart or Visio Demonstrated ability to support delivery from requirements through testing and adoption, ensuring solutions are well governed and business ready Proactive interest in the evolving regulatory landscape for AI, including data protection, conduct considerations and emerging AI-specific requirements such as the EU AI Act and FCA expectations Genuine interest in AI governance and control design. Able to translate regulatory and internal policy expectations into practical controls, design choices and documentation. Organised, analytical and proactive, with strong problem-solving and prioritisation skills Desirable Experience working across a broad range of business functions in an asset management or investment management firm, rather than a single team or desk Familiarity with asset management platforms such as Aladdin, or data platforms such as Snowflake Experience delivering training or change management programmes for non-technical users in a regulated environment Previous experience where a clean, structured handover to a permanent team was a core deliverable Familiarity with system design and integration concepts such as APIs, webhooks and MCP servers, with sufficient technical fluency to reason about how AI tools connect to existing systems and where the integration boundaries sit Track record of building reusable assets such as prompt libraries, playbooks or governance documentation as part of an AI or technology programme Genuine enthusiasm for AI and emerging technology. Actively experiments with new tools, follows developments in the space, and translates that curiosity into practical ideas for the business Additional Role Details This role is subject to the Conduct Rules set by the FCA. Don't meet every requirement? At Jupiter we are dedicated to building a diverse and inclusive workplace, so if you are interested in this role, but don't think your experience aligns perfectly with every listed requirement in the job description, we would encourage you to apply. You may be the right person for this role.
As our new Lead Business Analyst - Data, you will be the heartbeat of our Data Domain analysis capability. In this pivotal hands on leader role, you will be responsible for the coordination of business analysis efforts within your domain, ensuring the right people are working on the right initiatives. You will balance hands on strategic analysis with the line management and development of your team, ensuring we continue to deliver actionable insights to the business. As our Lead Business Analyst - Data, you'll have access to a wide range of benefits, including: Hybrid working (we're in the office 2 days per week). Colleague discounts on flight Jet2holidays Competitive salary and benefits package (including our discretionary profit share scheme). At and Jet2holidays we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: Partner closely with Product Managers, Business Stakeholders, Architects, and Engineering Managers to break down complex portfolio epics and strategic initiatives into smaller, iterative value drops. Coordinate the allocation of Business Analysis resources across Pre Delivery and Delivery to ensure analysis momentum. Retain hands on responsibility for the elicitation and analysis of critical or strategic initiatives, setting the standard for the team. Work hand in hand with Agile Delivery Leads, ensuring impediments, risks and dependencies are understood and managed effectively. Act as the driving force for AI and agentic tool adoption within the BA workflow, automating routine documentation, user story creation, and requirement mapping. Decouple delivery demand from headcount growth by discovering and implementing clever, AI augmented workflows that maximise squad throughput. Champion the use of advanced Business Process Modelling and Data Modelling (e.g. Entity Relationship Diagrams) within the team, ensuring complex workflows and data structures are accurately visualised and governed. Take responsibility for the Line Management of Business Analysts within your domain, executing regular 1 to 1s, conducting performance reviews, and building targeted development plans. Drive the continuous professional development of your team, ensuring knowledge is shared across data domains and that analysts are upskilled in the latest modern data pipelines and tools. Lead the peer review process alongside Senior BAs to ensure all requirements, business rules, and models meet our high quality standards before development begins. Work alongside the Business Analyst Manager to identify talent, conduct interviews, and onboard new members into the team. Partner with counterparts in Application Development to ensure analysis is aligned, dependencies are managed, and the end to end data journey is understood. Champion the translation of complex business concepts into robust functional and non functional requirements, partnering continuously with Architects and Engineering Managers to shape technical design and ensure absolute clarity of business value. Orchestrate the strategic allocation of Business Analysts across Agile Release Trains and value streams, ensuring teams are sustainably resourced to maintain continuous delivery and alignment with enterprise agile cadences. What you'll have: Extensive experience as a Business Analyst with a strong record of delivering value in complex Data Domains. Proven experience in Line Management, with a passion for developing people, conducting performance reviews, and building high performing teams. Expert level understanding of the Scaled Agile Framework (SAFe) and how product, architecture, and engineering interface within an Agile Release Train (ART). Experience working with Engineering Managers and Delivery Leads to triage and allocate work in a fast paced Agile environment. Strong experience operating within complex, data centric enterprise environments (Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. Expert level skills in Requirements Engineering, Business Process Modelling (e.g. UML Activity Diagrams, BPMN), and Data Modelling (e.g. Entity Relationship Diagrams). Exceptional storytelling and translation skills-capable of refining complex data engineering issues for business executives and business needs for technical squads. The ability to see the "bigger picture," understanding how data flows across different delivery domains, data domains and managing dependencies accordingly. Exceptional communication skills, capable of influencing senior stakeholders and managing expectations at a strategic level. Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits. Apply today and let your career take flight!
26/06/2026
Full time
As our new Lead Business Analyst - Data, you will be the heartbeat of our Data Domain analysis capability. In this pivotal hands on leader role, you will be responsible for the coordination of business analysis efforts within your domain, ensuring the right people are working on the right initiatives. You will balance hands on strategic analysis with the line management and development of your team, ensuring we continue to deliver actionable insights to the business. As our Lead Business Analyst - Data, you'll have access to a wide range of benefits, including: Hybrid working (we're in the office 2 days per week). Colleague discounts on flight Jet2holidays Competitive salary and benefits package (including our discretionary profit share scheme). At and Jet2holidays we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: Partner closely with Product Managers, Business Stakeholders, Architects, and Engineering Managers to break down complex portfolio epics and strategic initiatives into smaller, iterative value drops. Coordinate the allocation of Business Analysis resources across Pre Delivery and Delivery to ensure analysis momentum. Retain hands on responsibility for the elicitation and analysis of critical or strategic initiatives, setting the standard for the team. Work hand in hand with Agile Delivery Leads, ensuring impediments, risks and dependencies are understood and managed effectively. Act as the driving force for AI and agentic tool adoption within the BA workflow, automating routine documentation, user story creation, and requirement mapping. Decouple delivery demand from headcount growth by discovering and implementing clever, AI augmented workflows that maximise squad throughput. Champion the use of advanced Business Process Modelling and Data Modelling (e.g. Entity Relationship Diagrams) within the team, ensuring complex workflows and data structures are accurately visualised and governed. Take responsibility for the Line Management of Business Analysts within your domain, executing regular 1 to 1s, conducting performance reviews, and building targeted development plans. Drive the continuous professional development of your team, ensuring knowledge is shared across data domains and that analysts are upskilled in the latest modern data pipelines and tools. Lead the peer review process alongside Senior BAs to ensure all requirements, business rules, and models meet our high quality standards before development begins. Work alongside the Business Analyst Manager to identify talent, conduct interviews, and onboard new members into the team. Partner with counterparts in Application Development to ensure analysis is aligned, dependencies are managed, and the end to end data journey is understood. Champion the translation of complex business concepts into robust functional and non functional requirements, partnering continuously with Architects and Engineering Managers to shape technical design and ensure absolute clarity of business value. Orchestrate the strategic allocation of Business Analysts across Agile Release Trains and value streams, ensuring teams are sustainably resourced to maintain continuous delivery and alignment with enterprise agile cadences. What you'll have: Extensive experience as a Business Analyst with a strong record of delivering value in complex Data Domains. Proven experience in Line Management, with a passion for developing people, conducting performance reviews, and building high performing teams. Expert level understanding of the Scaled Agile Framework (SAFe) and how product, architecture, and engineering interface within an Agile Release Train (ART). Experience working with Engineering Managers and Delivery Leads to triage and allocate work in a fast paced Agile environment. Strong experience operating within complex, data centric enterprise environments (Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. Expert level skills in Requirements Engineering, Business Process Modelling (e.g. UML Activity Diagrams, BPMN), and Data Modelling (e.g. Entity Relationship Diagrams). Exceptional storytelling and translation skills-capable of refining complex data engineering issues for business executives and business needs for technical squads. The ability to see the "bigger picture," understanding how data flows across different delivery domains, data domains and managing dependencies accordingly. Exceptional communication skills, capable of influencing senior stakeholders and managing expectations at a strategic level. Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits. Apply today and let your career take flight!
Senior Technical Business Analyst - Insurance EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Job Info Job Identification 16073 Posting Date 06/23/2026, 09:40 AM Job Role Business Analysis-Business Intelligence Experience (In Years) 6-9 Job Location London, United Kingdom Job Description Role Title: Technical Business Analyst - Data & Reporting BU/Segment: Analytics / Data / Insurance Location: London, United Kingdom (3-4 days a week, office-based) Employment Type: Permanent Experience: 7-10 years We are seeking an experienced Technical Business Analyst with strong insurance domain knowledge and a solid background in Power BI-led reporting and analytics delivery. This role is ideal for a candidate who can act as the bridge between business stakeholders and technical delivery teams, working closely with clients and internal stakeholders to gather, structure, and translate business requirements into clear, actionable technical specifications. The successful candidate will be based on-site in London, leading stakeholder discussions, defining requirements, supporting prioritisation, and coordinating with offshore development teams to ensure high-quality, timely delivery of data and reporting solutions. The role requires a strong understanding of reporting, analytics, data structures, and Power BI, combined with excellent communication, documentation, and delivery management skills. As part of your duties, you will be responsible for: Stakeholder Management & Business Analysis Act as the primary interface between business stakeholders and technical teams, ensuring requirements are clearly understood, documented, and delivered. Run workshops, requirement discovery sessions, and working meetings with business users and SMEs. Translate business needs into user stories, functional requirements, acceptance criteria, process flows, and solution documentation. Support prioritisation of requirements and help define delivery roadmaps aligned to business objectives. Ensure strong communication and alignment across onshore stakeholders and offshore delivery teams. Technical Delivery Coordination Work closely with offshore developers, data engineers, and BI teams to clarify requirements and support solution design and delivery. Serve as the onshore coordination point for delivery teams, helping to unblock issues, manage dependencies, and maintain momentum. Review technical outputs against business requirements and support quality assurance throughout the delivery lifecycle. Track progress, manage requirement changes, and ensure traceability from requirement through to deployment. Power BI & Reporting Lead requirements definition for Power BI dashboards, MI reporting, and analytics solutions. Support the design and validation of Power BI data models, dashboards, and reporting logic. Review dashboards and reporting outputs to ensure they are aligned to business expectations and are fit for executive and operational use. Data & Insurance Domain Support Support data analysis and requirement definition across insurance datasets, including underwriting, premium, claims, bordereaux, and performance reporting. Ensure business definitions, metric logic, and reporting outputs are aligned with insurance operating needs. Work with stakeholders to identify gaps in data, process, and reporting, and recommend practical improvements. Qualifications and experience we consider to be essential for the role Required Skills 5-10 years of experience in Technical Business Analysis, or Data & Analytics delivery roles. Proven experience working as a bridge between business stakeholders and technical/offshore delivery teams. Strong stakeholder management skills, with the ability to engage confidently with senior business users and technical teams. Strong experience in requirements gathering, documentation, solution design, user stories, and acceptance criteria definition. Practical experience with Power BI, including dashboard requirements, KPI definition, reporting logic, and validation of delivered outputs. Good understanding of data structures, reporting layers, and analytics delivery processes. Strong communication, documentation, and problem-solving skills. Ability to work in a fast-paced, client-facing, delivery-oriented environment. Highly organised, proactive, and able to manage multiple workstreams and stakeholders effectively. Preferred Skills Prior experience in the Insurance industry, ideally within Specialty, Commercial, London Market, or MGA environments. Familiarity with bordereaux, underwriting data, claims data, and insurance reporting processes. Working knowledge of SQL for data interrogation, validation, and requirement support. Experience working with offshore delivery models in a consulting or professional services environment. Awareness of modern data platforms and cloud-based reporting environments. Skills and Personal attributes we would like to have A strong techno-functional Business Analyst rather than a pure developer or delivery lead. Comfortable working with both business users and technical teams, and able to translate between the two effectively. Confident in driving workshops, clarifying ambiguity, and turning loose asks into structured delivery requirements. Strong enough in Power BI and data/reporting concepts to challenge outputs, validate logic, and guide solution direction. Experienced in coordinating with offshore teams while maintaining strong day-to-day engagement with onshore stakeholders. As part of a leading global analytics and digital solutions company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees can enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
26/06/2026
Full time
Senior Technical Business Analyst - Insurance EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Job Info Job Identification 16073 Posting Date 06/23/2026, 09:40 AM Job Role Business Analysis-Business Intelligence Experience (In Years) 6-9 Job Location London, United Kingdom Job Description Role Title: Technical Business Analyst - Data & Reporting BU/Segment: Analytics / Data / Insurance Location: London, United Kingdom (3-4 days a week, office-based) Employment Type: Permanent Experience: 7-10 years We are seeking an experienced Technical Business Analyst with strong insurance domain knowledge and a solid background in Power BI-led reporting and analytics delivery. This role is ideal for a candidate who can act as the bridge between business stakeholders and technical delivery teams, working closely with clients and internal stakeholders to gather, structure, and translate business requirements into clear, actionable technical specifications. The successful candidate will be based on-site in London, leading stakeholder discussions, defining requirements, supporting prioritisation, and coordinating with offshore development teams to ensure high-quality, timely delivery of data and reporting solutions. The role requires a strong understanding of reporting, analytics, data structures, and Power BI, combined with excellent communication, documentation, and delivery management skills. As part of your duties, you will be responsible for: Stakeholder Management & Business Analysis Act as the primary interface between business stakeholders and technical teams, ensuring requirements are clearly understood, documented, and delivered. Run workshops, requirement discovery sessions, and working meetings with business users and SMEs. Translate business needs into user stories, functional requirements, acceptance criteria, process flows, and solution documentation. Support prioritisation of requirements and help define delivery roadmaps aligned to business objectives. Ensure strong communication and alignment across onshore stakeholders and offshore delivery teams. Technical Delivery Coordination Work closely with offshore developers, data engineers, and BI teams to clarify requirements and support solution design and delivery. Serve as the onshore coordination point for delivery teams, helping to unblock issues, manage dependencies, and maintain momentum. Review technical outputs against business requirements and support quality assurance throughout the delivery lifecycle. Track progress, manage requirement changes, and ensure traceability from requirement through to deployment. Power BI & Reporting Lead requirements definition for Power BI dashboards, MI reporting, and analytics solutions. Support the design and validation of Power BI data models, dashboards, and reporting logic. Review dashboards and reporting outputs to ensure they are aligned to business expectations and are fit for executive and operational use. Data & Insurance Domain Support Support data analysis and requirement definition across insurance datasets, including underwriting, premium, claims, bordereaux, and performance reporting. Ensure business definitions, metric logic, and reporting outputs are aligned with insurance operating needs. Work with stakeholders to identify gaps in data, process, and reporting, and recommend practical improvements. Qualifications and experience we consider to be essential for the role Required Skills 5-10 years of experience in Technical Business Analysis, or Data & Analytics delivery roles. Proven experience working as a bridge between business stakeholders and technical/offshore delivery teams. Strong stakeholder management skills, with the ability to engage confidently with senior business users and technical teams. Strong experience in requirements gathering, documentation, solution design, user stories, and acceptance criteria definition. Practical experience with Power BI, including dashboard requirements, KPI definition, reporting logic, and validation of delivered outputs. Good understanding of data structures, reporting layers, and analytics delivery processes. Strong communication, documentation, and problem-solving skills. Ability to work in a fast-paced, client-facing, delivery-oriented environment. Highly organised, proactive, and able to manage multiple workstreams and stakeholders effectively. Preferred Skills Prior experience in the Insurance industry, ideally within Specialty, Commercial, London Market, or MGA environments. Familiarity with bordereaux, underwriting data, claims data, and insurance reporting processes. Working knowledge of SQL for data interrogation, validation, and requirement support. Experience working with offshore delivery models in a consulting or professional services environment. Awareness of modern data platforms and cloud-based reporting environments. Skills and Personal attributes we would like to have A strong techno-functional Business Analyst rather than a pure developer or delivery lead. Comfortable working with both business users and technical teams, and able to translate between the two effectively. Confident in driving workshops, clarifying ambiguity, and turning loose asks into structured delivery requirements. Strong enough in Power BI and data/reporting concepts to challenge outputs, validate logic, and guide solution direction. Experienced in coordinating with offshore teams while maintaining strong day-to-day engagement with onshore stakeholders. As part of a leading global analytics and digital solutions company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees can enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
Senior Data Engineer - Palantir Foundry As a Senior Data Engineer, you'll play a key role in building a modern, large scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll shape engineering standards, improve data quality, and enable trusted insights. Drive measurable change by shaping and delivering large scale data products and platforms using Palantir Foundry and cloud native tooling. Engineer scalable pipelines, transform complex datasets into operational decision making assets. Partner with clients to unlock efficiency and insight across critical programmes. Build reusable patterns, improve observability and accelerate client roadmaps for modern data adoption. Location: Swansea, Wales - hybrid (on site presence two days per week). UK security clearance required. Senior Data Engineer - Healthcare In this role you'll design, build and optimise data platforms that underpin critical national services. The focus is on AWS, Databricks and Python to deliver high impact solutions that improve outcomes and drive innovation across the sector. Collaborate with Healthcare stakeholders to define requirements and translate them into data solutions. Build and maintain scalable data pipelines using AWS services and Apache Spark on Databricks. Ensure data quality, governance and security across the data ecosystem. Enable data driven decision making for national healthcare services. Location: Leeds, United Kingdom - hybrid. UK security clearance required. Senior Data Analyst / Analytics Engineer Design and deliver high quality dashboards using Power BI, Tableau, SQL, Excel and related technologies. Partner with business stakeholders to gather requirements and translate them into effective analytics solutions. Build and maintain robust data models, ensuring data quality, accuracy and adherence to governance standards. Drive reporting automation and continuous improvement of analytics frameworks. Present insights, trends and recommendations to senior leadership and cross functional teams. Champion best practices across data modelling, visualisation and reporting standards. 5+ years of experience in Data Analytics, Analytics Engineering, Business Intelligence or related disciplines. Advanced proficiency in Power BI and SQL. Extensive experience in data modelling, data transformation and dashboard development. Proven stakeholder management skills and ability to gather requirements effectively. Excellent communication and data storytelling skills. Desirable: Experience with Power Automate, Azure, Tableau or Python; Power BI and/or Azure certifications. Location: United Kingdom - hybrid.
26/06/2026
Full time
Senior Data Engineer - Palantir Foundry As a Senior Data Engineer, you'll play a key role in building a modern, large scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll shape engineering standards, improve data quality, and enable trusted insights. Drive measurable change by shaping and delivering large scale data products and platforms using Palantir Foundry and cloud native tooling. Engineer scalable pipelines, transform complex datasets into operational decision making assets. Partner with clients to unlock efficiency and insight across critical programmes. Build reusable patterns, improve observability and accelerate client roadmaps for modern data adoption. Location: Swansea, Wales - hybrid (on site presence two days per week). UK security clearance required. Senior Data Engineer - Healthcare In this role you'll design, build and optimise data platforms that underpin critical national services. The focus is on AWS, Databricks and Python to deliver high impact solutions that improve outcomes and drive innovation across the sector. Collaborate with Healthcare stakeholders to define requirements and translate them into data solutions. Build and maintain scalable data pipelines using AWS services and Apache Spark on Databricks. Ensure data quality, governance and security across the data ecosystem. Enable data driven decision making for national healthcare services. Location: Leeds, United Kingdom - hybrid. UK security clearance required. Senior Data Analyst / Analytics Engineer Design and deliver high quality dashboards using Power BI, Tableau, SQL, Excel and related technologies. Partner with business stakeholders to gather requirements and translate them into effective analytics solutions. Build and maintain robust data models, ensuring data quality, accuracy and adherence to governance standards. Drive reporting automation and continuous improvement of analytics frameworks. Present insights, trends and recommendations to senior leadership and cross functional teams. Champion best practices across data modelling, visualisation and reporting standards. 5+ years of experience in Data Analytics, Analytics Engineering, Business Intelligence or related disciplines. Advanced proficiency in Power BI and SQL. Extensive experience in data modelling, data transformation and dashboard development. Proven stakeholder management skills and ability to gather requirements effectively. Excellent communication and data storytelling skills. Desirable: Experience with Power Automate, Azure, Tableau or Python; Power BI and/or Azure certifications. Location: United Kingdom - hybrid.
