221 jobs found

At Gamma, we're more than just a leader in Unified Communications as a Service (UCaaS). We're a fast-moving technology organisation delivering innovative voice, data, and mobile solutions across Europe. Our product and service portfolio is at the heart of what we do - powering reliable, scalable communications for thousands of businesses. Behind the scenes, our engineering teams design, build, and maintain the software systems that generate real business impact. We combine the agility of a start-up mindset with the stability of a leading European business. Collaboration, ownership, and continuous improvement define how we work - and we're always looking for people who want to build meaningful technology at scale. Who are we looking for? Design, build, and own end-to-end, Snowflake-based machine learning and advanced analytics solutions that transform telecommunications data into trusted models, insights, and predictions driving customer retention, growth, and commercial decision making across the business. What will you be doing day-to-day? Own the end-to-end machine learning lifecycle, from problem definition and exploratory analysis through model development, deployment, monitoring, and iteration, delivering production-grade ML solutions with measurable business impact. Define, design, and continually improve business-critical "gold" analytics data models on Snowflake, ensuring they represent consistent, trusted views of customers, products, revenue, and usage, and serve as the single analytical truth across reporting, analytics, and ML use cases. Develop, evaluate, and deploy machine learning models relevant to a telecommunications environment, including customer churn prediction, early-warning indicators, lifetime value forecasting, segmentation, and recommendation or next-best-action systems. Ensure analytical datasets, gold data models, and ML outputs are secure, reliable, and performant, applying Snowflake best practices such as RBAC, query optimisation, cost-efficient compute usage, and appropriate materialisation strategies. Work closely with product, engineering, marketing, finance, and commercial stakeholders to align on definitions, metrics, and analytical priorities, translating ambiguous business problems into well-scoped analytics and ML solutions. Mentor and uplift the existing data squad responsible for ingestion and transformation, setting standards for analytical data modelling, data quality, and ML aware design, and acting as a senior technical authority across the data organisation. What you'll need Strong experience in data science and applied machine learning, with proven delivery of models into production environments. Strong background in machine learning, statistics, and data modelling, with hands-on experience using Python and advanced SQL. Demonstrated experience working with modern cloud data warehouses, with Snowflake as a primary platform strongly preferred. Experience in telecommunications or subscription based businesses, particularly working with customer usage, billing, or CRM data, is highly desirable. Track record of mentoring engineers or analysts and leading technical standards within a data team. Kaggle profile or public GitHub projects demonstrating applied ML or analytics work are a strong plus. What do we offer you? At Gamma, we believe in work-life balance, which is why we offer 25 days of annual leave, plus an extra day off for your birthday. We also provide a volunteer day, allowing you to support a cause that matters to you. Family is important to us. With enhanced maternity and paternity pay, we support you at every stage of life. Our contributory pension scheme helps you plan for the future, with Gamma increasing contributions in line with yours. Your wellbeing comes first. We offer group income protection, life assurance (four times your salary), and private medical insurance through Vitality, which extends to your immediate family. We want you to share in our success, which is why we offer tax-efficient share save and share incentive plans. We're also committed to sustainability, offering an Electric Vehicle scheme through Octopus and a Cycle to Work scheme, making greener travel easier. A few things to note Unfortunately, we can't offer visa sponsorship or relocation support for this role. This role is hybrid, with office and home working flexibility.If you feel you could be a great fit for Gamma but don't meet every requirement, we still encourage you to apply - you might be exactly who we're looking for. Gamma is an equal opportunity employer. We are committed to building inclusive, diverse teams where everyone can be their authentic selves. We welcome applications from all backgrounds and do not discriminate based on any protected characteristics.

Department Strategy and Business Intelligence As Media Measurement Lead, you will be Sky's senior technical owner for media measurement standards, responsible for building and embedding a unified measurement framework across ATL, digital, testing, econometrics and campaign reporting. You will define the KPIs, methodology principles, evidential standards and confidence thresholds that determine how media performance is assessed, ensuring different evidence sources are interpreted consistently and used for the right decisions. A core part of the role is designing and delivering robust strategic geo-tests and other incrementality experiments that provide credible evidence on what drives growth. You will lead the technical design of these tests end-to-end, from feasibility, market selection, power and KPI definition through to evaluation, interpretation and recommendation. Reporting into the Head of Media Effectiveness, you will work closely with Econometrics, Digital Marketing, Media Planning, Media Strategy, Test & Learn and Publicis to connect measurement approaches into one practical framework for investment decision-making. This is a highly technical leadership role: the successful candidate will combine advanced statistical thinking, hands on data capability and strong commercial judgement to protect the integrity of evidence while enabling confident media investment decisions. What you'll do Own Sky's end-to-end media measurement framework, defining KPI standards, methodological principles, evidential standards and the measurement approaches used to evaluate media investment across ATL and digital. Act as Sky's senior technical measurement authority, providing expert guidance on measurement design, KPI selection, campaign evaluation and interpretation of results. Lead the design and delivery of robust incrementality testing programmes, including strategic geo-tests and matched market experiments, ensuring outputs are statistically sound, commercially relevant and decision ready. Support the evolution of Sky's digital measurement approach, working with Digital Marketing teams to ensure platform, attribution and incrementality signals are used appropriately and consistently to optimise campaigns and evaluate outcomes. Create a unified approach to interpreting evidence, integrating econometrics, testing, digital measurement, platform lift studies and campaign reporting into a coherent measurement framework. Build and develop market leading measurement capability, leading a team of technical specialists and embedding measurement best practice across Media, Digital, Econometrics and agency partners. Deep expertise in experimental design, causal measurement and statistical analysis, with experience designing and evaluating large scale media tests (including feasibility, power analysis, KPI definition and confidence assessment), ideally including geo testing or matched market experiments. Strong understanding of media measurement across ATL and digital, including the strengths, limitations and appropriate application of econometrics, testing, attribution, platform measurement and campaign reporting. Proven experience developing measurement frameworks, standards or methodologies, with the ability to define consistent approaches to evaluating media effectiveness across multiple channels and evidence sources. Strong technical capability, including managing complex SQL queries across multiple data sources and using Python (or equivalent) to analyse, automate and interpret measurement outputs. Proven ability to translate complex measurement, testing and modelling outputs into clear, commercially actionable recommendations, with confidence influencing senior stakeholders and challenging interpretation where appropriate. Experience leading and developing analysts or technical specialists, building capability in measurement, statistical thinking and evidence based decision making. Desirable skills and experience Experience working with econometric modelling / MMM outputs and integrating experimental findings into broader effectiveness frameworks. Experience designing measurement approaches for digital marketing, including attribution, platform measurement, incrementality and campaign optimisation. Experience assessing and challenging third party measurement methodologies, including agency, platform or measurement partner approaches. Experience applying advanced measurement techniques to strategic business questions, such as channel effectiveness, budget allocation, audience strategy or creative effectiveness. Benefits and perks Free Sky TV including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Share save and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 3 days in the office per week. Your office base Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates.We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. To be eligible for this role you are required to have the appropriate right to work in the UK. We're an equal opportunity employer. All applicants will receive a fair and consistent application process.

Location: Ripponden - Hybrid; 3 days in office. Salary £30,000-£35,000 (depending on experience). Vacancy type: Permanent/Full Time. Job title Service - Application Support Analyst Function Technology (Application Management) Location Ripponden About our business JLA is a mission critical infrastructure solutions business offering services in Laundry, Catering, Heating, Fire Safety, Infection Control and Air Conditioning. The company offers an end to end, on premise, machine supply and breakdown service proposition under the name Total Care, and additional products and services. JLA is driven by a world class Sales & Marketing engine, owns and maintains all assets, and has an efficient on site operations team working daily with customers. Role overview We are looking for a Service Application Manager to join our dynamic and vibrant Technology team. You will support the development and maintenance of our Service System's, working autonomously and as part of the Tech team to handle user issues, support enhancements and day to day BAU activity. In this role you will need to be an enthusiastic problem solver who never shies away from a challenge, with excellent customer service skills which will enable you to support and deliver the exceptional service our colleagues have come to expect from the Tech team. We are looking for highly self motivated and pro active applicants who have a marked interest in business systems, analysis, alignment and processes. The successful applicant will have a good, general knowledge of the MS Office tools in a networked PC environment. Previous experience of Field Service Management Systems or ERP Systems with a willingness to learn new software programs. With the ability to work quickly and to short deadlines, the successful applicant will need to have the ability to use their own initiative and ideas to solve problems. The successful applicant will need to have excellent communication skills to provide support to stakeholders at various levels across the Company, using a range of methods such as phone, emails and video calls. Applicants will also need to possess a high attention to detail and be a methodical, analytical and logical thinker whilst working in a fast paced environment. With the ambition to grow and progress within the business. Key tasks Ensure that all internal customers are provided with the service and help they require under the guidance of the Service Application Manager. Use a positive problem solving attitude to resolve routine and wide ranging incidents, striving for a first call resolution. Implement solutions to problems using available collateral such as user guides and technical manuals. Utilise online resources such as the 'Knowledgebase' to resolve customer troubles whilst also collecting and maintaining a problems and solutions knowledge base that colleagues can use. Develop extensive functional and technical knowledge of JLA's Service System's and the underlying technology stack. Manage configuration and maintenance changes, including maintaining the system user accounts and permissions. Use native application development tools to configure and customise the application and its functionality to align with business processes using JLA standards. Mine and manipulate data using MS and SQL tools. Converting non technical stakeholder requirements to technical specifications. Supporting strategic business projects (small to large) through design, development and deployment as well as stakeholder management. Document all developments and configuration changes to JLA standards. Responsible for user account management and system administration. Act as the point of escalation for incidents, driving triage, coordination and resolution, and providing clear stakeholder communications. Lead problem management for recurring faults, performing root cause analysis and implementing preventative measures. Criteria Essential (attributes required for candidate to be considered) Desirable (attributes can be trained or developed) Knowledge and Skills (what you know and what you can do) Demonstrable experience administering Business Applications in a corporate environment Practical experience designing and configuring Business process Ability to diagnose and coordinate resolution of application/service issues using logs, monitoring and structured troubleshooting Experience managing third party suppliers, including SLAs, escalations and service reviews Understanding of access, security and compliance controls for system applications Strong stakeholder communication skills, able to translate technical issues into clear business updates Knowledge of Service Applications, ERP and integrations. Knowledge of IT service management practices (incident, problem, change and release management Knowledge of Engineer workforce management and scheduling. Experience (what you have done) Experience supporting and/or managing business critical applications in a production environment, including user configuration. Hands on incident management through to resolution, including coordination across internal teams and suppliers. Experience delivering changes/releases (planning, testing, implementation and post change validation). Experience producing and maintaining operational documentation (runbooks, knowledge articles and support processes). Experience working with APIs, Integrations and data flows between Business Applications. Minimum 2 years' experience with Relational Databases Experience with either PD/SQL, Python or C Sharp development Experience with Power Automate or Power Apps Experience supporting Field Engineers remote process's, mobile applications and scheduling systems Experience of Personal qualities Calm, structured approach under pressure, with a focus on restoring service and managing risk. Strong ownership mindset with a bias for action and follow through. Clear, confident communicator with the ability to tailor messages for technical and non technical audiences. Customer focused and collaborative, building effective relationships across IT, operations and suppliers. Continuous improvement mindset, using data and feedback to reduce incidents and improve service quality. Able to challenge constructively and influence decisions with stakeholders and suppliers. Qualifications We will need you to have a full UK driving licence

About our Team Are you motivated by turning complex data into trusted, decision ready insights that directly impact how people are rewarded for their work? Do you enjoy improving data processes and automation to make systems more accurate, scalable, and reliable? Our team supports the accuracy and integrity of sales and compensation data across the organisation. We work closely with Sales Operations, Finance, and technology partners to ensure data is reliable, well controlled, and ready for critical reporting and payout cycles. The team focuses on continuous improvement, strengthening data quality, increasing automation, and reducing risk through clear processes, collaboration, and shared accountability. About the Role This role focuses on building, validating, and maintaining high quality participant level data that underpins sales compensation outcomes. You will work across sales, finance, and technology partners to ensure data is accurate, auditable, and ready for payout cycles. The role plays a key part in improving automation, reducing manual effort, and strengthening stakeholder confidence in compensation data. Responsibilities Ingest and consolidate large datasets from Sales Operations, Finance, and CRM systems Map transactions and performance metrics to sales participants Own data quality controls, reconciliation processes, and audit trails Ensure accurate attribution of revenue, quotas, credits, overlays, and splits Prepare validated datasets to support compensation payout cycles Investigate and resolve data discrepancies and support audits Build reporting to track data accuracy, readiness, trends, and risks Review end to end processes to identify inefficiencies and implement automation and standardisation Requirements Strong experience working with large, complex datasets Advanced Excel skills for analysis, reconciliation, and validation Experience in analytics, sales compensation, or related data operations Ability to perform root cause analysis and solve data quality issues Clear communication skills to work with technical and non technical stakeholders Experience preparing data for financial or compensation processes Knowledge of SQL or Python Familiarity with compensation platforms, CRM systems, and data visualisation tools Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Data Analyst Reports to: Head of Commercial Data Intelligence About Independent Media Independent Media comprises The Independent, Standard Digital, Bulletin, BuzzFeed UK, HuffPost UK, Tasty UK, Seasoned, IndyBest and indy100. Harnessing market-leading innovation and excellence across its portfolio of pioneering brands, Independent Media has unrivalled scale, integrity and authority via its sites, apps, video, audio, experiential, newsletters and social media. While each Independent Media brand speaks in an authentic, unique voice to a loyal and distinct audience, they stand together in their commitment to positivity, inclusivity, and quality journalism and content. Independent Media's network reaches 650 million users each month, with 1.1 billion content views across its brands and platforms, including web, apps, social media, podcasts, email, YouTube, syndication partners and print. The role and the team The Advertising Operations function consists of three core pillars: Campaign Management - delivery and optimisation of direct-sold campaigns, trafficking, QA and client service support. Ad Tech Ops and Partnerships - yield management, SSP relationships, inventory strategy, deal management and auction optimisation. Ownership of the advertising technology stack including ad server, header bidding, identity and consent integrations, measurement solutions and platform performance. Revenue Intelligence - revenue analysis, yield reporting, forecasting support, performance diagnostics and data-led commercial insight to drive monetisation strategy and optimisation. As a Data Analyst, you will translate the modeled data into decisions, revenue forecasts, partner performance narratives, yield optimization recommendations that go to stakeholders (sales, finance, programmatic, ad tech). You will work closely with the Ad Operations and Data Engineering team to make sure data is accurate, accessible, and ready for analysis. Your work will help the company optimise revenue, run experiments, and lay the foundation for AI-driven automation. This is a unique opportunity to learn ad tech, revenue analytics, and AI-enabled decision-making while developing strong engineering skills, writing clean, production-ready code, building scalable data pipelines, and contributing to a high-impact team. Diversity, Equity and Inclusion We champion diversity in our teams and in our reporting. As a growing and global brand, we must have a workforce that's more representative of our readers, viewers, clients and partners, and a workplace that creates a sense of belonging for everyone We are committed to hiring and developing a diverse workforce regardless of background, and we support our people to thrive in their careers here. The Independent is an equal opportunities employer, if you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly. About you You hold a degree in a business-related field (such as Economics, Business Analytics, or a STEM subject). You have a solid grasp of fundamentals like SQL and Python and are eager to master the modern data stack. You don't just flag problems, you look for solutions, take ownership of your tasks, and tackle complex challenges head on. You're naturally curious, you ask why, and you don't stop until you've got a real answer. You manage your time effectively and thrive in a fast moving, commercial environment. You communicate effectively by building well documented, intuitive data models that business users can explore autonomously. You're keen to use AI and modern tools in your day to day work, rather than defaulting to spreadsheets. You work well under pressure and can juggle shifting priorities. Key responsibilities and accountabilities Proactively develop and automate data-driven recommendations for revenue optimisation and partner strategy. Design, run, and analyse A/B tests to support yield and revenue optimisation decisions. Enable self serve analytics by building robust, reliable datasets for commercial teams instead of fielding individual report requests. Use AI tools to speed up analysis and get to insights faster. Implement automated testing, monitoring, and alerting within the data pipelines to catch discrepancies in revenue, yield, or partner data before they reach downstream dashboards. Learn and contribute to ad tech operations and revenue optimisation projects. Essential skills and experience Track record of taking ambiguous data problems from initial scoping to final delivery. Confident in SQL, with some Python. Familiar with modern BI tools. Good written and verbal communication, comfortable presenting to stakeholders. A strong interest in exploring AI, automation, and predictive analytics to drive business value. An interest or background in setting up and evaluating A/B tests. Our values - you will deliver across all our values Inclusive: We champion diversity in our teams and in our reporting. Working as a team, we put transparency and effective communication at the heart of everything we do. Innovative: From the very beginning, The Independent has been breaking the mould. We take risks and are always looking to try new ideas in pursuit of excellence. Independent: Nobody tells us what to think; we make up our own minds and aren't afraid to do things differently. Like our readers, we value honesty and integrity above outside influences.

Join us as a Senior Catastrophe Reporting Analyst in our Exposure Management team to take your career to the next level with a global market leader. Make your mark in Talbot Underwriting Talbot operates within the Lloyd's Insurance Market through Syndicates 1183, 2019, S2478 and 2479. With an expert team of highly skilled and experienced underwriters and a balanced, geographically diverse portfolio of business, Talbot has earned a reputation as an industry leading insurance specialist. Talbot writes a diversified portfolio including Crisis Management, Energy, Financial Lines, Marine, Political Risk, Property and Terrorism. Drawing on our deep industry expertise, Talbot develops tailored insurance solutions that address clients' evolving and often unique needs. How you will create an impact Review regulatory reporting, assess opportunities for automation and implement improvements to make sure that they can be produced quickly and consistently Review and develop the suite of reports available to underwriting teams to support aggregate management activities and monitoring of risk appetites Improve data capture across all classes through standardisation of data entry and data checking processes Ensure that an appropriate level of focus is maintained on improving data quality across different classes, and develop and enhance data capture for classes that do not have specific mechanisms in place Support the timely delivery of regulatory returns and take responsibility for compiling data for both internal and external reporting Provide information from the aggregate monitoring process to assist with reinsurance planning and ensure close collaboration with the underwriting and outwards reinsurance teams to improve data completeness Support the development of Talbot's views of catastrophe risk and feed into development / validation activities (including linkage into AIG group work streams) Assist in developing and reviewing the representation of non-nat-cat classes in the Internal Model Help to develop oversight frameworks and own procedural documentation for the Exposure Management team Stay up-to-date with industry developments and investigate ways in which we can enhance our data capture What you'll need to succeed Experience in a similar role within the insurance industry Understanding of cat modelling and exposure management advantageous Strong coding skills in R and / or Python Strong SQL skills Experience of enhancing and automating processes Strong understanding of insurance concept At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to . Functional Area: RK - Risk Talbot Underwriting Services Ltd (TS1) As a global risk leader with deep industry expertise and innovative solutions to smartly manage risk, AIG enables our clients' growth in ways they never thought possible. We also do the same for our colleagues, because we know our people are our greatest strength - the source of every insight, every idea and every innovation. When we're working as one team to do what's right for our colleagues and our communities, we can achieve excellence together. We encourage colleagues to give back to the causes they care most about, supporting these efforts through our Volunteer Time Off and Matching Grants Programs. Additional information about AIG can be found at YouTube Instagram LinkedIn.

At 1st Central, everything starts with our people. As one of the UK's leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4 million customers. We're proud to create an environment where people feel supported, trusted and able to grow - whether that's developing new skills, taking on fresh challenges or making a real impact every day. If you're looking for a role where you can make a difference, we'd love to hear from you. We're looking for a Lead Price Comparison Data Analyst to join us on a 12-month Fixed Term Contract. You'll turn complex data from price comparison websites into actionable insights and compelling stories that drive business decisions, while leading the development and evolution of our Growth-Led Customer Segmentation framework. In this pivotal role, you'll partner with cross-functional teams, across marketing, pricing, digital, product, and trading to uncover opportunities, enhance customer journeys, and fuel growth. Your work won't just live in dashboard, you'll shape strategy, influence direction, and make a tangible difference to performance. You'll be the vital link between data and decision-making, bringing stories to life through trends, patterns, and sharp analysis. Whether you're engaging technical experts or non-technical stakeholders, you'll make the complex simple, the data meaningful, and the insights impossible to ignore. We're big on flexible hybrid working. Our teams are based across Haywards Heath (West Sussex) and Salford Quays (Manchester). We primarily work from home but value collaboration, so we come together in person to keep ideas flowing, typically once or twice a quarter. Prefer being in the office more often? That works for us too. Core skills we're looking for to succeed in the role: Data Storytelling & Insight Generation: Ability to translate complex data into compelling narratives and actionable business insights. Analytical Mindset & Problem Solving: Passion for analysing and transforming data to help solve real business problems. Industry Price Comparison Expertise: Proven experience in data analysis or data storytelling with a focus on motor or home insurance price comparison data. Data Tools: Experience in SQL, DataBricks, Python and Power BI is advantageous alongside strong capability in manipulating large datasets. Stakeholder Management & Influencing: Ability to influence and support stakeholders, confidently managing expectations in a dynamic environment. Communication & Documentation: Strong verbal and written skills, with the ability to create clear, well-structured, and maintainable project documentation and analysis. What's involved You'll be responsible for analysing, optimising and transforming price comparison data into clear, engaging narratives that supports new and existing initiatives. You'll support the Pricing teams to understand and optimise price comparison data to enhance pricing models and related projects. Capture requirements, understand data pipelines which support our retail and technical pricing functions and enable key price comparison data to be tested, optimised and used in the most efficient way. You'll support business teams with understanding customer behaviour through our growth-led customer segmentation framework, supporting AB test plans and analysing results while optimising segments to meet business objectives. You'll help develop and support the PCW data roadmap while tracking benefits / uplift from the price comparison data roadmap across the Pricing & Proposition pillar at First Central. You'll review and provide commercial benefit analysis of any new price comparison data for the business, and support central data teams with ingestion and testing. You'll present segmentation data findings and insights to senior leadership and cross-functional teams, driving awareness of customer trends and recommending actionable changes to business strategies. You'll comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times. You'll ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times. You'll participate in annual staff appraisal, staff development and in-service training activities in line with the Commercial Data Competency Framework. Experience & knowledge Experience & knowledge Extensive experience working in data analysis or data storytelling roles, analysing motor or home insurance price comparison data Extensive experience coding T-SQL and manipulating large datasets Experience in DataBricks, Python and Power BI advantageous Knowledge of customer segmentation frameworks advantageous Skills Good communication skills, both verbal and written. Able to create, clearly structure and maintain documentation of projects Ability to decompose complex data into compelling narratives and business insights Passion for analysing and transforming data which allows users to solve business problems Understanding of a service-based approach in delivering assets for use by other teams Ability to influence and support stakeholders, and confidently manage expectations in a dynamic environment Appreciation of importance of attention to detail Behaviours You're always collaborating you place team success over personal success, and you enjoy working in an open, collaborative environment. You demonstrate responsible ownership: when you see something not working, you'll flag it and be part of the solution. You seek continuous improvement: you're always developing new skills and insights, while exploring ways to do things better. You're mindful of balance: you're conscious of your own health and that of others. You think carefully about how best to focus your efforts, knowing when to push yourself to reach a goal. Ready to join us? We're looking for talented people who want to make a real impact for our customers, colleagues and business.

Who we are Moniepoint Inc. is Africa's all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. As Nigeria's largest merchant acquirer, we power most of the country's point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. About the role The Senior Business Analyst plays a key role in shaping the growth and success of Moniepoint's payment products. You'll design, test, and implement strategies that improve user acquisition, boost retention, and elevate product engagement. This role blends deep quantitative analysis with collaborative, strategic thinking. You'll partner with teams across the business to ensure our payment solutions meet real market demands and grow efficiently as we scale. Ultimately, you'll make sure our products not only attract users but also scale sustainably to create financial happiness for everyone. Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. Key Responsibilities Partner closely with product managers, business development, and data engineering teams to help our growth team uncover problems and make product metrics highly visible. Translate complex product and business questions into simple, actionable insights. Build, maintain, and scale self-service dashboards and custom visualisation tools. Own end-to-end analytics for our growth products-from gathering data requirements and estimating opportunity sizes to designing experiments and conducting post-launch impact reviews. Cultivate trusted relationships across teams, acting as a collaborative link between technology, business, and product. Apply advanced mathematical and statistical modelling techniques (including A/B tests, multivariate testing, clustering, and supervised learning) to solve practical business problems that drive high-impact results. Qualifications 3 to 4 years of professional experience (excluding academic projects and internships) in a quantitative analysis role within high-scale tech companies, tier-1 consulting firms, or investment banks with strong programming demands. Excellent SQL skills (which we will test during our interview process). Practical experience designing, running, and analysing experiments on digital products (such as A/B and multivariate tests). Hands-on experience with popular visualisation tools like Tableau or Looker. Experience applying statistical modelling and advanced analytics to deliver practical, product-shaping insights. Strong skills in statistical programming (Python) and familiarity with tools like Pandas, SciPy, and Jupyter notebooks. Clear, professional spoken and written English. Additional skills Product management Analytics Marketing Data Science Design Customer Success What we can offer you Culture - We put our people first and prioritise every team member's well-being. We've built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. Compensation - You'll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. What to expect in the hiring process A preliminary phone call with one of our recruiters. A panel interview with a member of our hiring team. A behavioural and technical interview with a member of the Executive team Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

What is Flagstone? Flagstone is many things. An online savings platform, reinventing how individuals, businesses, and charities manage, protect, and grow their cash. A diverse group of people, bound by a collaborative spirit, and shared purpose. And lastly, a thriving, profitable business - where smart people do their best work. Each definition shares a common thread: our unique culture. It's our pride and joy. And our competitive advantage. A feel for our culture: To revolutionise the savings market, we need to be at our best. But high performance takes more than talent - it takes a culture of kindness, respect, and growth. That's why we're building a diverse, inclusive community, where your voice is heard and valued. Where, with close support and room to develop, you can surpass even your own expectations. And be rewarded for it. We may not change the world, but can change the world of financial technology. And all it takes is a winning mix of drive, talent, and empathy. Our culture celebrates all three. Does this sound like you? You're an experience Data Leader who has taken a data function through genuine transformation. You've built self-serve adoption from the ground up, shifted accountability for data insights back to product teams, and driven real adoption across a business. You understand that moving analytics from a service function to a strategic one requires changing not just tools, but how the organisation thinks about data. What you'll do As Lead Data Analyst, you will play a key role in shifting the function from a service that reports what has happened to one that drives decisions about what should happen next. You will work closely with the Head of Data to lay the foundations for a more strategic, consultative model, building the team, the tools, and the ways of working that will continue to move Flagstone from reactive reporting to predictive, commercially driven insights. This will include: You'll drive measurable adoption of self-serve analytics across Growth, Engagement, Partnerships and beyond. This isn't about publishing dashboards; it's about training, supporting, and tracking uptake so ad hoc request volume falls and teams own their own insights. Currently, too much delivery accountability sits with analytics. You'll work with tribe leads to rebalance this through sustained, active escalation. You've done this pattern before and know how to hold the line. Managing a full resourced, high performing team of analysts. You'll build genuine partnership with tribe and function leads, not just visibility within data leadership. You drive adoption, you don't just ship and hope. Leading from the front on modern tooling and applied data science methods, and building the team's capability through coaching, pairing, and structured development. Helping analysts understand how their role is evolving, encouraging the team to move from responding to requests to proactively identifying opportunities and influencing decisions. Partnering with senior stakeholders to shape problem statements, success measures, and analytical priorities. Owning the most complex and high-impact analytical work, including methodology selection, assumptions, and interpretation. Ensuring all outputs are trusted, contextualised, reproducible, and aligned with governance expectations before informing decisions. What you'll bring Significant experience in data analytics, including ownership of high stakes analysis and operation as a hybrid IC / manager. Proven track record of landing self-serve adoption where you've led a team through this shift before. You can point to measurable outcomes e.g. falling ad hoc volume, teams confidently self-serving, sustained change. Experience rebalancing accountability in matrixed environments. You've worked in cross-functional organisations where product/tribe leadership needed to own their data insights. You know how to escalation, how to hold boundaries, and how to make the shift stick. Demonstrated ability to build partnerships across functions, not just within your team or your immediate leadership chain, but with tribe leads, product managers, and operational teams. You've driven adoption of your team's work. Strong hands-on technical capability - deep SQL, Power BI, Python or similar. You build capability by doing, not just directing. Communication and conviction, with the ability to operate credibly with senior stakeholders and hold the line on quality and ways of working when it matters. How we reward you: At Flagstone, the benefits extend beyond false gifts like "fruit and snacks". Instead, we invest in your health, wealth, and professional development. Here's a selection of our benefits: Hybrid working - Spend at least 1 day a week with your team in our collaborative London office Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - a pot to fund meaningful benefits for you, whether it's hormone or fertility testing, cancer screening, neuro-diversity coaching or something that matters for you. A range of salary sacrifice options to help you make tax efficient savings on electric cars, nursery schemes, home and tech goods. Working Abroad - Flagstone employees can work remotely from an approved list of locations for up to 90 days a year Mental wellbeing support - Access therapy and mental health sessions through Spill Learning and development - £1,000 personal development budget to help you grow in your role. Private health care - Enjoy all the benefits AXA has to offer, including reduced gym memberships and medical history disregarded Medical cash plan - To help you with the costs of dental and optical expenses Life insurance and Income Protection- four times your annual salary for peace of mind Matched pension contributions up to 5% 25 days holiday - plus bank holidays, well-being days and volunteering days Enhanced Parental Leave - enhanced maternity, paternity and adoption pay. All are welcome. At Flagstone, we're assembling a diverse team that defies our industry's norms. Think this role could suit you? We encourage you to apply, no matter your background.

Role description Principal Software Engineer - Data Technology Platforms Location London Start : ASAP End : As of now till Dec 2026 with possible extesnions Seeking an experienced and data-focused Principal Software Engineer to join our Data Technology Platforms team. This team is responsible for building, enhancing, and operating enterprise-wide data platforms that support operational, analytical, regulatory, and AI-driven business capabilities. The ideal candidate will have deep expertise in modern data engineering, database technologies, cloud platforms, and data governance. You will play a key role in defining strategic data solutions, partnering with business and technology stakeholders, and delivering scalable, high-performance data platforms that enable data-driven decision making across the organization. This role is suited to a technology leader who combines strong hands-on engineering skills with strategic thinking, stakeholder management, and a passion for delivering business value through data. Key Responsibilities Strategic & Technical Leadership Drive the design and evolution of modern, cloud-based data platforms. Translate business requirements into scalable, reusable, and strategic data solutions. Provide technical leadership across data engineering initiatives and platform modernization efforts. Champion best practices in architecture, data governance, quality, security, and scalability. Solution Delivery Analyze business and technical requirements and evaluate solution viability. Design, develop, test, and deploy enterprise-grade data solutions. Support the full Software Development Lifecycle (SDLC), from requirements through production support. Ensure solutions are maintainable, supportable, and aligned with enterprise standards. Optimize performance for large-scale data processing and analytics workloads. Stakeholder Management Partner with business stakeholders, product owners, architects, analysts, engineers, and support teams. Act as a trusted advisor on data strategy and platform capabilities. Manage competing priorities while balancing immediate delivery needs with long-term strategic objectives. Communicate effectively with both technical and non-technical audiences. Team Collaboration Mentor engineers and contribute to the growth of the wider technology organization. Promote agile delivery practices and continuous improvement. Take ownership of individual deliverables while contributing to overall team success. Support operational excellence and knowledge transfer to production support teams. Required Skills & Experience Data Engineering & Development Strong expertise in SQL database development and optimization. Hands-on experience with: Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/ELT practices. Proven ability to tune and optimize solutions handling large data volumes. Cloud & DevOps Experience with cloud-native data platforms, preferably on Microsoft Azure. Strong knowledge of: Azure DevOps Git CI/CD pipelines Automated deployment practices Experience implementing engineering best practices, testing, and release management processes. Software Engineering Ability to develop well-structured, maintainable, and thoroughly tested solutions. Strong problem-solving and analytical skills. Experience supporting production systems and driving operational excellence. Stakeholder & Business Engagement Experience working with senior business and technology stakeholders. Strong communication and relationship management skills. Ability to balance delivery timelines with strategic platform evolution. Preferred Qualifications Experience within Financial Services, Asset Management, Banking, Wealth Management, or Capital Markets. Development experience using: .NET / C# Azure Functions Azure Services Familiarity with Agile delivery frameworks and methodologies. Experience with Test-Driven Development (TDD) and test automation practices. Knowledge of modern data governance and data quality frameworks. Exposure to AI, analytics, and advanced data platform capabilities. Skills Azure DevOps, Data Validation, Azure Functions, Cloud Data Warehousing, SQL, Python About the company the company is a global digital transformation solutions provider. For more than 20 years, the company has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, the company partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, the company embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, the company builds for boundless impact-touching billions of lives in the process.

We are looking for a highly skilled Data Analytics Engineer to support product analytics, product marketing, customer support, and operational teams. This role enables data-driven decision-making by developing scalable data models and delivering high-quality insights across the business. The position works cross-functionally with engineering, data science, and business stakeholders and plays a key role in ensuring the accessibility, quality, and reliability of data. Responsibilities Data Modeling & Engineering Build and maintain scalable data models using dbt and Snowflake Transform raw data into clean, reliable datasets for analysis Apply engineering best practices to analytics code to ensure scalability and maintainability Insight & Business Impact Translate data models into actionable insights for stakeholders across product, marketing, and operations Partner with business teams to define analytics requirements and measurable success outcomes Collaboration & Stakeholder Engagement Work collaboratively with data engineers, data scientists, and business stakeholders Support cross-functional teams by delivering high-quality data solutions Data Governance & Quality Maintain data documentation, definitions, and lineage Advocate for and uphold data quality and coding standards through code reviews Tools & Technology Utilise Snowflake, dbt, Looker, Git, and modern data tooling to deliver analytics solutions Core Competencies for Success Collaborates - Builds strong partnerships across technical and business teams to achieve shared outcomes Drives Results - Consistently delivers high-quality outputs in a fast-paced, data-driven environment Ensures Accountability - Takes ownership of data quality, accuracy, and delivery standards Tech Savvy - Adopts and applies modern data technologies to improve efficiency and scalability Manages Complexity - Analyses complex datasets and translates them into clear, actionable insights Credentials and Experience 3+ years of experience in a data analyst, analytics engineer, data engineer, or similar role 2+ years of experience working with product and/or customer data 3+ years of hands on experience writing and optimising SQL for data analysis and transformation Experience using Python, R, or similar tools for data analysis and manipulation 1-3 years of experience working with modern data warehouses and transformation tools (e.g., Snowflake, dbt) Experience transforming raw data into clean, production-ready datasets and maintaining technical documentation Experience working with large-scale datasets (e.g., high-volume event or behavioural data) Exposure to API integrations and data ingestion processes is desirable Demonstrated ability to work effectively in a remote or distributed team environment Legal right to work in the United Kingdom Other Details The role is hybrid based in Bath, UK. As the office is a listed building, please let us know if accommodations are needed due to the lack of a lift. Salary range: £35,000 - £39,400 annually. The position is eligible for an annual bonus. Discovery Education is an equal opportunity employer. Discovery Education is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the communities we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender, protected veteran status or disabled status or, genetic information.

Posted Wednesday 24 June 2026 at 04:00 Expires Tuesday 14 July 2026 at 03:59 We are looking for a highly skilled Data Analytics Engineer to support product analytics, product marketing, customer support, and operational teams. This role enables data-driven decision-making by developing scalable data models and delivering high-quality insights across the business. The position works cross-functionally with engineering, data science, and business stakeholders and plays a key role in ensuring the accessibility, quality, and reliability of data. The successful candidate will become a specialist in our modern data stack, including Snowflake, dbt, Looker, and Hightouch, and will contribute to building a robust analytics capability at scale. In This Role You Will Data Modeling & Engineering Build and maintain scalable data models using dbt and Snowflake Transform raw data into clean, reliable datasets for analysis Apply engineering best practices to analytics code to ensure scalability and maintainability Insight & Business Impact Translate data models into actionable insights for stakeholders across product, marketing, and operations Partner with business teams to define analytics requirements and measurable success outcomes Collaboration & Stakeholder Engagement Work collaboratively with data engineers, data scientists, and business stakeholders Support cross-functional teams by delivering high quality data solutions Data Governance & Quality Maintain data documentation, definitions, and lineage Advocate for and uphold data quality and coding standards through code reviews Tools & Technology Utilise Snowflake, dbt, Looker, Git, and modern data tooling to deliver analytics solutions Core Competencies for Success Collaborates - Builds strong partnerships across technical and business teams to achieve shared outcomes Drives Results - Consistently delivers high quality outputs in a fast paced, data driven environment Ensures Accountability - Takes ownership of data quality, accuracy, and delivery standards Tech Savvy - Adopts and applies modern data technologies to improve efficiency and scalability Manages Complexity - Analyses complex datasets and translates them into clear, actionable insights Credentials and Experience 3+ years of experience in a data analyst, analytics engineer, data engineer, or similar role 2+ years of experience working with product and/or customer data 3+ years of hands on experience writing and optimising SQL for data analysis and transformation Experience using Python, R, or similar tools for data analysis and manipulation 1-3 years of experience working with modern data warehouses and transformation tools (e.g., Snowflake, dbt) Experience transforming raw data into clean, production ready datasets and maintaining technical documentation Experience working with large scale datasets (e.g., high volume event or behavioural data) Exposure to API integrations and data ingestion processes is desirable Demonstrated ability to work effectively in a remote or distributed team environment Legal right to work in the United Kingdom This role is hybrid based in Bath, UK. As the office is a listed building, we do not have a lift so please make us aware so we can make necessary accommodations. The hiring range for this position is between £35,000 - £39,400 annually, however, base pay offered may vary depending on job related knowledge, skills, experience, and location. Additionally, this position is eligible for an Annual Bonus. Benefits 28 days leave plus UK bank holidays Annual Winter Holiday Break (typically the last week of December) Income protection to support you during long term illness 4x salary Life Assurance Medicash cash back plan Private Medical Insurance Vivup cash back and discounted plan for 1000s of high street stores Cycle to work scheme Paid eye test and money towards glasses Numerous Employee Assistance Programs A social committee that helps us team build and celebrate wins Continuing Education AND Tuition Reimbursement Programs for when you choose to study further in your field as you work Mentorship program and collaboration with veteran leaders Constant opportunities for cross functional training and skill building Uncapped career growth Unlimited LinkedIn Learning Leadership training for people mangers Discovery Education is an equal opportunity employer. Discovery Education is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the communities we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender, protected veteran status or disabled status or, genetic information.

Overview WELLINGTON MANAGEMENT offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 50 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long term view that aligns our perspectives with those of our clients. Programme Overview The Technology Associate Programme is designed for recent university graduates who are passionate about technology and eager to launch their careers in a supportive, hands on environment. You will gain foundational experience in software development or data support while working closely with business partners across the firm. From day one, you will be mentored by experienced professionals and supported in building the skills, confidence, and network needed to thrive at Wellington. Global Data & Application Support (GDAS) As a Graduate Data Support Analyst, you will help ensure the accuracy and timeliness of investment data, solve complex problems, and contribute to the integration of AI technologies into support processes. What You'll Do: Ensure data accuracy and timely updates for investment professionals. Collaborate with offshore colleagues and act as a point of escalation. Partner with development teams to solve complex problems and document solutions. Assist in integrating AI technologies into support workflows. Use SQL, Python, GraphQL, and prompt engineering to enhance data processes. Engage in proactive problem solving and continuous improvement. What We're Looking For: Basic understanding of SQL, Python, prompt engineering, and generative AI technologies. Familiarity with GraphQL is a plus. Strong analytical and communication skills. High attention to detail and a commitment to quality. Interest in financial services and a willingness to learn. Job Title and Location Technology Associate - EMEA (Graduate) - 2025. Location: London. Equal Opportunity Statement As an equal opportunity employer, Wellington Management considers all qualified applicants for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability, medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability or are assisting a candidate with a disability and require an accommodation to apply for one of our jobs, please email us at .

About Eucalyptus We're on a mission to make good health last a lifetime. More than 1 billion people live with obesity worldwide, driving preventable chronic conditions. We're here to build better long-term care. Eucalyptus is now part of Hims & Hers, the global leader in personalised health and wellness. Euc is the company behind Juniper, one of the world's largest weight management programs combining GLP 1 medication with personalised nutrition, movement support, and clinician led care from prescribers, nurses, health coaches, pharmacists, and dietitians. Our published clinical research shows that our combined clinical and behavioural approach helps patients lose significantly more weight during their treatment with Juniper by four times. Our Growth Story: 130% YoY revenue growth and a 90% reduction in cash burn - culminating in our $1.15bn acquisition by Hims & Hers in 2026, giving us the platform to take long term care global Supported over 350k patients living with obesity across our 5 markets Received selective NICE endorsement to provide services to the NHS Tailored our offering to thousands of patients in Australia, the UK, Germany, Japan and Canada. About the role We're looking for a Senior Commercial Strategy Analyst to join our Commercial FP&A team. This isn't a traditional "back office" finance role. You will sit at the intersection of commercial strategy and technical data execution. You'll be responsible for translating complex unit economics into growth levers, leveraging modern tooling and AI to automate the mundane and focus on the "why." What You'll Do Commercial Performance Engine: Partner with brand leads to interrogate daily performance. You won't just report on CAC; you'll analyze the marginal return on spend across multi channel funnels. Advanced Financial Architecture: Maintain and scale complex, driver based financial models. You'll be expected to bridge the gap between high level P&L targets and granular operational data. AI Driven Efficiency: Integrate AI and automation (e.g. LLM assisted data cleaning, Python scripts, or advanced ChatGPT workflows) to accelerate reporting cycles and predictive forecasting. Unit Economics Deep Dives: Deconstruct LTV/CAC ratios, payback periods, and cohort retention profiles to advise on capital allocation across different geographies. Data Synthesis: Work closely with the Data team to ensure our "Source of Truth" is robust, moving beyond static sheets into dynamic, real time dashboards. Scenario & Sensitivity Analysis: Build "stress test" models to evaluate the impact of supply chain shifts, pricing elasticity, and new market entry variables. Operational Partnering: Act as a financial co pilot for the Marketing and Operations teams, translating their roadmaps into headcount plans and Opex budgets. What You'll Bring 3 6 years of experience in a high intensity analytical environment. Backgrounds in Investment Banking, high growth companies or similar are highly valued. Strong FP&A and commercial finance foundation with experience supporting business performance through financial modeling, forecasting, and strategic analysis. Experience within D2C, B2C, consumer, subscription, or high growth commercial environments is strongly preferred. Strong understanding of commercial and customer metrics including: CAC (Customer Acquisition Cost) LTV (Lifetime Value) Retention and cohort analysis Revenue performance and unit economics The "Full Stack" Analyst: You possess a rare combination of commercial intuition and technical rigor. You can discuss brand strategy with a GM and SQL joins with a Data Engineer in the same hour. Technical Mastery: Expert level Excel/Google Sheets is a baseline. Proficiency (or a strong desire to learn) SQL, Python, or data visualization tools (Looker/Tableau) is essential. AI Native: You are proactive in using AI tools to enhance your productivity, from automating spreadsheet workflows to synthesizing large data sets. Precision & Speed: You have the "IB style" attention to detail where every decimal point matters, but the startup speed to ship an 80/20 analysis when the business needs to move fast. Strong Communication: The ability to turn a sea of data into a 3 bullet point executive summary that drives action. Why join Eucalyptus? Euc is also behind a growing family of digital healthcare clinics (Pilot, Kin, Software) across men's health and well being, fertility, and skincare. Here's what makes joining Euc unique: What's next - Our goal for the next three years is to support 1 million patients globally to live better for longer. We're launching into new conditions, demographics, and geographies as we build a truly preventive healthcare ecosystem. Build something world changing - We're on the path to becoming the world's largest international digital healthcare company. It will be challenging, fast paced, and deeply rewarding. Make real impact - You will deliver work that directly shapes patient outcomes and scales evidence based care across markets. Accelerate your growth - You will have high ownership, continuous feedback, and dedicated development support. Join a motivated team - You will collaborate with talented peers to solve complex clinical and operational problems at scale. What's ahead in the UK Invest in your growth - Annual development budget plus 3 days of professional development leave Work flexibly - Hybrid setup with 3 days a week in our Old Street office, designed for focus and collaboration Support your well being - Private health insurance through Vitality or opt for a monthly wellness allowance to spend on what matters most to you Take time off - 25 days of holiday, enhanced parental leave and work from anywhere 3 weeks out of the year Join a connected team - A vibrant office culture with regular socials, clubs, after school sport, and seasonal events At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process. We use AI assisted tools across our business to help our teams work more efficiently, including within our recruitment process. These tools support our team - all hiring decisions are made by real people, and every application is reviewed by a member of our recruitment team.

Job Title: Business Analyst Location: London Reporting Line: Co-Managing Director Level for Referral Policy: Junior Who We Are Founded in 2002 as a pioneering hedge fund, Marble Bar has built its reputation on intellectual discipline, research, data-driven insight and a deep understanding of investment behaviours. Since its founding, the firm has helped portfolio managers identify repeatable processes within their investment practice and sustain their edge in constantly evolving markets. For over twenty years, we have successfully identified exceptional managers and created environments to help them generate durable returns. What We Do In 2016 we launched The Partners Business and opened our integrated architecture to independent hedge fund managers, supporting them initially as they navigate the fragile early stages of building their businesses. We are a shared operating system purpose built to support hedge fund managers at every stage of their lifecycle, from launch and early operational resilience to performance development, capital formation, and long-term scale. This has established Marble Bar as the leading home for exceptional managers wishing to create unique and independent investment firms with the freedom to focus on investing. Your Role This is a high-impact, multi-disciplinary position sitting at the intersection of financial modelling, commercial deal structuring and investment talent assessment. The successful candidate will work directly with senior leadership to strengthen the firm's analytical and decision-making infrastructure - both at the enterprise level and in support of Marble Bar's core activity of identifying, onboarding and growing the Partners Business. This is a generalist analytical role for someone who is equally comfortable building bottom-up operational models, structuring partnership economics and interrogating an investment manager's track record. Strong quantitative and programming skills, combined with the communication ability to present findings clearly to senior stakeholders, are essential. Your Key Areas of Impact Enterprise Financial & Operational Modelling Build and maintain bottom-up financial and operational models of the firm, incorporating headcount, cost, revenue and capacity assumptions Support improved budgeting, forecasting and objective-setting processes across the business Design and implement an activity-based costing framework, costing the use of central resources provided to each Partner Provide clear visibility into deal-level, cost-centre and partnership-level profitability Develop capacity and throughput models to assess operational infrastructure and support planning for portfolio growth Support the design of a KPI and OKR-driven performance monitoring system, establishing metrics that track progress against strategic objectives Partnership Deal Modelling & Structuring Build bespoke financial models to analyse and stress-test the economics of proposed partnership arrangements with new and existing Partners Model revenue share, fee structures, capital allocation and hurdle rate mechanics across a range of deal scenarios Produce clear deal summaries and scenario analyses to support Deal Committee presentations and internal investment decisions Maintain and develop a modelling framework that can be applied consistently across new partnership opportunities Work closely with senior leadership and legal to translate commercial terms into quantitative model assumptions Investment Talent Diligence & Assessment Conduct quantitative and qualitative due diligence on prospective Partner investment managers, assessing track records, investment strategy, alpha generation and risk profile Produce detailed performance analytics reviews within the Partners due diligence process, including strategy assessment, historical portfolio and trading history analysis Profile prospective Partners including assessment of expected returns, risk characteristics, capacity and optimal market environments for their strategies Develop and systematise analytical frameworks to assess track records with varying degrees of data completeness Identify initial areas of opportunity for portfolio management and trading behaviour improvement in prospective and existing Partners Data, Reporting & Analytics Infrastructure Build and maintain databases and structured datasets covering Partner Firm performance, deal economics and operational metrics Develop and automate reports, dashboards and presentations for senior management and Partner Firm stakeholders using Python and BI tools Work with developers and the risk/analytics team to continuously improve reporting capabilities and deliver novel analytical tools Support the IR and Capital Development teams with data and analytics outputs for investor due diligence processes What We Are Looking For Ability to deliver advanced financial and operational modelling, demonstrating bottom-up, scenario based and activity-based costing approaches Prior exposure to investment manager due diligence, fund analysis or alternative strategies (equities, credit, macro) Experience structuring or modelling commercial deals, partnership economics or fee arrangements Strong data management skills including SQL databases and structured data pipelines Proficiency in Python for data analysis, modelling automation and workflow scripting (Pandas, NumPy, SciPy) Exceptional communication skills and ability to present complex quantitative findings clearly to senior and non-technical audiences Strong organisational skills and ability to manage multiple workstreams with competing deadlines Familiarity with AI and natural language models is a plus The role is based in London with an expectation of 5 days per week in the office.

We are seeking an experienced Senior Athena Python Rates Senior Lead Software Engineer for the development team to work on Rates Risk and PNL business deliveries and optimization. In this role, you will design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit & loss analysis for our trading operations. Job Responsibilities As a Senior Python Architect on our team, you will build and maintain robust software solutions for rates trading activities. You will collaborate closely with quantitative analysts, traders, risk managers, across middle and back office processing. Your work will directly support trading operations across multiple Rates products. You will be responsible for developing scalable, performant code that handles large volumes of market data and complex financial calculations. This includes implementing risk metrics, PnL attribution frameworks, and data pipelines that connect trading systems with downstream consumers. You will participate in architectural decisions, code reviews, and technical design sessions, contributing your expertise to shape the evolution of this automated platform. Required Qualifications Hands-on Python development experience Strong preference for candidates with financial services background Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases Ability to articulate technical concepts to both technical and non-technical stakeholders Proven ability to gather requirements from business users and collaborate across multiple teams and functions Capability to translate business needs into technical solutions and explain technical constraints in business terms Willing to understand and work on legacy applications when required Willing to provide first class support to the business Preferred Qualifications Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena Knowledge of rates products including Swaps, Securities, Options, and Repo Familiarity with risk methodologies and PnL calculation frameworks Experience with distributed systems and real-time data processing Proficiency with relational and NoSQL databases Knowledge of modern development practices including CI/CD pipelines and containerization Exposure to quantitative finance concepts and market risk measures Understanding of regulatory reporting requirements in financial services Experience is using AI tools like Claude, Copilot effectively Understanding of Cloud platforms like AWS

The Data Analyst will join a team at the forefront of personalization in the global gaming industry, helping to improve products and support customers in understanding the impact they're having. About Future Anthem Future Anthem is a platform company operating in the global gaming industry. Estimated Benefits Benefits estimated based on industry standards Behind every real-time player experience is a data team making it possible. We're growing ours. Future Anthem is hiring a Data Analyst - joining a team at the forefront of personalisation in the global gaming industry, helping us improve our products and supporting our customers in understanding the impact they're having. This is a full time, permanent, hybrid role, typically 2-3 days per week in our London office. The right person will bring: A degree in mathematics, statistics, computer science, engineering, or a related field Experience analysing gambling marketing activities The ability to write clear, well-structured code Hands on experience with Python, SQL, PySpark, or similar tools A flair for problem solving and storytelling with data - and the confidence to present findings to clients Sound like you? We'd love to hear from you. Apply here:

Market Data Analyst, London We are hiring a Market Data Analyst to join our team in London. In this role you will help evaluate and onboard cross asset class data feeds for our Venue Analytics, Transaction Cost Analysis (TCA) and Trade Surveillance products. You will work closely with Product, Data and Development teams to deliver proof of concepts that guide project roadmaps and enrich our product offering for clients such as investment banks, brokers, wealth/account managers and exchanges. Key Responsibilities Develop global market data and referential data coverage: onboard new market venues across fixed income, derivatives, equities/ETFs, FX and crypto; maintain and enrich a reference database covering global cross asset market metadata, instrument listings and company fundamentals. Improve and evolve data quality assurance procedures to deliver high quality, robust information to downstream applications. Collaborate with the Application Support team to resolve data delivery and processing issues. Feed management: liaise with vendor networks to identify mandatory feed changes and develop implementation plans for existing feeds. Research upcoming market microstructure changes and model how the business can benefit. Conduct analyses of data and construct accurate, insightful reporting. Maintain clear lines of communication with stakeholders on feed projects and product development. Support analytics across asset classes, including approaches to TCA and instrument level performance measurement. Respond to client requests for new market coverage. What you bring to ISS STOXX Minimum three years of experience in data management and analysis. Degree in finance, mathematics or a related quantitative discipline. Proven experience with financial market data and/or referential data. Ability to work with, manipulate and analyze large datasets such as Level 2 and Level 3 order book data. Highly proficient with Microsoft Excel (macros, pivot tables, functions and charts). Experience with analytical tools such as PowerBI, Tableau, Jupyter, and familiarity with REST APIs is desirable. Programming skills: intermediate SQL and Python; object oriented programming experience is a bonus. Excellent analytical skills and ability to understand technically complex problems. Strong communication and written skills with the ability to build professional relationships at all levels. Proven ability to work well under pressure and adapt to changing priorities and complex challenges. Knowledge of data modeling techniques (both supervised and unsupervised), and an understanding of AI and goodness of fit measures, highly desirable. What you can expect from us A culture that values diverse skills, perspectives and experiences. The opportunity to grow professionally and personally with comprehensive support and resources. An environment that fuels creativity, drives innovation and shapes future success. Equal Employment Opportunity Statement Institutional Shareholder Services ("ISS") is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, colour, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as "protected status"). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non discriminatory basis, consistent with all applicable federal, state, and local requirements.