24 jobs found

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst (Fintech) based in United Kingdom. This role offers the opportunity to build advanced analytics capabilities within a fast growing financial technology environment. You will transform complex financial data into reliable insights that support business decisions, regulatory reporting, and operational excellence. Working closely with Finance, Accounting, and Data Engineering teams, you will design scalable reporting solutions from the ground up. The position combines financial expertise, data analysis, automation, and business intelligence to improve transparency and efficiency. You will play a critical role in ensuring data accuracy, audit readiness, and the development of data driven strategies. This is an ideal opportunity for an analytical professional who enjoys solving complex fintech challenges and creating impactful data solutions in a remote global team. Accountabilities Build and maintain financial reporting solutions, including complex metrics frameworks, conversion funnels, dashboards, and performance reporting using BI tools such as Looker, Grafana, or similar platforms. Analyze financial data from BigQuery to generate actionable insights, including P&L reporting, portfolio performance analysis, accounting summaries, and executive level reporting. Automate reporting workflows and external data exports to support audit processes, compliance requirements, and regulatory reviews. Partner with Finance and Accounting teams to gather, define, and translate business requirements into scalable financial data models and reporting solutions. Design and implement data quality frameworks with automated validation checks, monitoring, and alerting mechanisms to ensure accuracy and reliability of financial information. Develop financial models and forecasting solutions to support business planning, including LTV, retention, profitability, expected loss, and other key performance indicators. Perform advanced financial analysis, anomaly detection, and experimentation using BigQuery, SQL, Python, and analytical frameworks. Collaborate with Data Engineering teams to improve data warehouse structures, reporting processes, and analytical capabilities. Leverage modern AI and analytics technologies to enhance financial insights, automation, and decision making processes. Requirements 5+ years of experience in data analysis, financial analytics, regulatory reporting, or related roles within fintech, payments, banking, or financial services. Expert level SQL skills with experience extracting, transforming, and analyzing complex datasets in BigQuery or similar data platforms. Strong proficiency in Python, including Pandas and NumPy, for data exploration, modeling, and advanced analysis. Extensive experience with business intelligence tools such as Looker, Grafana, Tableau, Power BI, or similar platforms, including building executive level dashboards. Strong understanding of financial concepts including P&L structures, accounting principles, IFRS standards, and financial risk metrics such as EAD, LGD, and RWA. Experience defining technical requirements and collaborating with Data Engineering teams on data warehouse and reporting solutions. Strong analytical mindset with the ability to investigate complex datasets, identify trends, and communicate insights clearly. Experience working with financial compliance, audit processes, or regulatory reporting requirements is highly valuable. Preferred experience includes crypto payments, custody reconciliation, AML/transaction monitoring analytics, streaming data technologies such as Kafka or Kinesis, and cloud data platforms such as Spark, Snowflake, or BigQuery. Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a plus. Benefits Fully remote work opportunity within an international and agile team. Competitive compensation package based on experience, skills, and individual contribution. Opportunity to build and shape analytics processes and reporting infrastructure from the ground up. High impact role supporting mission critical financial reporting, compliance, and business decision making. Career growth opportunities across technical, leadership, and cross functional career paths. Collaborative culture focused on transparency, experimentation, ownership, and measurable impact. Opportunity to work at the intersection of finance, technology, and emerging digital financial solutions.

VP, AI & Data PlatformsApplylocations: London Vincent Square - IVPtime type: Full timeposted on: Posted 8 Days Agojob requisition id: R08291 Your role What you'll be doing VP AI & Data Platforms What We Need Corpay is currently looking to hire a VP AI & Data Platforms within our IVP Commercial team. This position falls under our International Vehicle Payments (IVP) line of business and is located in London, Victoria.You will lead our internal AI, data science and data engineering capabilities across our Europe & Rest of World fleet business unit. This is a senior leadership role focused on turning AI and data into tangible business outcomes - driving growth, improving customer retention, optimising operations and enabling smarter decision-making across the organisation.In this pivotal role you will sit at the intersection of business and technology, working closely with commercial, operational and functional leaders to identify opportunities, deliver impactful solutions and scale AI adoption across the companyYou will report directly to our Chief Commercial Officer, IVP and regularly collaborate with the wider Strategy team, IVP business leaders and supporting teams across Europe and the UK. How We Work As a VP AI & Data Platforms , you will be expected to work in an office environment. Corpay will set you up for success by providing: Assigned workspace in Vincent Square, London (Victoria) Company-issued equipment Formal, hands-on training. Support for you to complete professional certifications. Collaborative and supportive leadership Role Responsibilities This is a unique opportunity to shape and scale AI within a global, high-growth business, working directly with senior leadership to embed AI into how the organisation operates day-to-day. You'll have the platform to build, lead and deliver meaningful change - turning data and AI into a core driver of business performance.What you will be delivering; Lead AI & Data Strategy Define and execute a clear AI and data strategy aligned to business priorities, with a focus on revenue growth, customer retention, operational efficiency and productivity. Identify, prioritise and build a portfolio of high-impact AI and data initiatives. Deliver Business Impact Own the end-to-end lifecycle of AI initiatives - from ideation and business case through to delivery, adoption and measurable results. Ensure solutions are embedded into business processes and drive real, sustained impact. Build & Scale Data Platforms Oversee data science, machine learning and data engineering teams to build scalable, reliable and high-quality data and AI platforms. Drive best practices in data architecture, model development, deployment and lifecycle management. Partner Across the Business Work closely with Sales, Operations, Finance, Credit, Marketing and Technology teams to translate business needs into data and AI solutions. Act as a trusted advisor to senior stakeholders, bridging the gap between technical teams and commercial leaders. Drive AI Adoption & Capability Champion the use of AI across the organisation. Promote practical, day-to-day use of AI tools and solutions, and help teams unlock productivity and better decision-making. Support training, upskilling and knowledge sharing to build a data-driven culture. Lead & Inspire a High-Performing Team Lead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts. Build a strong, collaborative and innovative team culture focused on delivery and impact. What We're Looking For Experience & Expertise Proven experience leading AI, data science, machine learning or data platform teams Track record of delivering data and AI initiatives with clear business impact Strong understanding of data platforms, analytics, and ML/AI technologies Experience operating in complex, matrixed organisations Business & Leadership Skills Strong commercial acumen and ability to link AI initiatives to business value Excellent stakeholder management and influencing skills at senior levels Ability to operate strategically while staying close to execution Experience leading cross-functional initiatives end-to-end Mindset Pragmatic and delivery-focused, with a bias for action Curious, innovative and comfortable challenging the status quo Strong communicator, able to translate complex topics into clear business language Passion for building and developing high-performing teams Benefits & Perks Competitive salary (depending on experience) + bonus 25 days annual leave plus public holidays. Plus a holiday buy back scheme Pension scheme Health and wellness programs Significant career progression opportunities, with potential to take on a wider role in the future Opportunity to join a leading brand in a high growth global business Fun culture with company-wide contests and prizes Our Company & Purpose Corpay is a global leader in business payments, laser focused on developing smarter ways for businesses to pay their expenses. Since 2000, Corpay has developed innovative digital solutions that help businesses better track, manage, and pay their expenses. Today, Corpay is an S&P 500 company with hundreds of thousands of customers using our products in over 100 countries. Companies of all sizes, industries and geographies rely on our product portfolio to manage spending more quickly, efficiently and securely than ever before.We embrace a culture grounded in five key values: integrity, collaboration, innovation, execution and people. These values offer you the opportunity to 'thrive & grow' through career development, volunteer, community, and wellness initiatives. This allows you to create a balance between professional goals and personal achievement.Corpay is also committed to building and nurturing a culture of diversity, inclusion, equality, and belonging by: Welcoming people of different backgrounds, cultures, ethnicities, genders, and sexual orientations; Empowering our people to share their experiences and ideas through open forums and individual conversations; and Valuing each person's unique perspectives and individual contributions.Embracing diversity enables our people to "make the difference" as CORPAY and its more than 8,000 employees continue to shape the future of global payments. Learn more by visiting or following Corpay on LinkedIn. Equal Opportunity/Affirmative Action Employer Corpay is an Equal Opportunity Employer. Corpay provides equal employment opportunities to all employees and applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information, veteran and/or military status or any other group status protected by federal or local law. If you require reasonable accommodation for the application and/or interview process, please notify a representative of the Human Resources Department.For more information about our commitment to equal employment opportunity and pay transparency, please click the following links: EEO and Pay Transparency Why Join Corpay? Impact: Play a pivotal role in a function, bringing your expertise Global Reach: Be part of a company with a presence in over 80 countries and a team of more than 10,000 employees worldwide. Culture: Join a passionate, collaborative, and inclusive team that values your contributions. Rewards: Competitive compensation package, including equity, health benefits, and more. Growth: Opportunities for professional development and career advancement in a fast-growing company.CORPAY Enjoys Global Recognition Including: Forbes Global Growth Champion: CORPAY (FLEETCOR) is one of the 250 fastest-growing companies in the world as determined by Forbes and Statista. Forbes World's Most Innovative Companies: CORPAY (FLEETCOR) has made this prestigious list of leading innovative companies 4 years in a row! Fortune 1000 Company: CORPAY (FLEETCOR) was one of the largest movers in the new rankings of the largest companies in America, ranking . S&P 500: In 2018, CORPAY (FLEETCOR) joined the S&P stock index comprised of the 500 leading US stocks. About Corpay Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpay's Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements.Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities. Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CV's from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest ever logistics Series A ($35M), led by deep tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture backed startups. We're assembling the most talent dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM • 90 people, more than half in engineering, product and data • 45+ advanced degrees across computer science, mathematics and operations research • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle • An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's network is scaling fast. The decisions that shape that growth, where to expand, how to price, where to invest, are made by a finance team that runs on data: driver level metrics, profitability models, pricing structures, and operational KPIs. This role exists to own the analytics layer that powers those decisions. As a Senior Data Analyst in the finance squad, you are responsible for how finance sees the business. You own the dashboards and reporting that give visibility into the metrics that matter: cost per parcel, expansion profitability, client and cohort performance, pricing dynamics, and the drivers underneath them. You translate raw operational data into views that finance can use to forecast, model, and act. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the finance squad, but report into the centralised data team. You will work closely with the Senior Data Scientist in the squad, building the reporting and visibility layer on top of their simulation models. You will also work across squads, pulling the metrics they commit to the semantic layer and shaping them into the views finance needs. Who Will Thrive in This Role? You take ownership of your domain. You don't wait to be told what finance needs or when something is broken. You're proactive about understanding the questions they're trying to answer and making sure the data is there to answer them. You're an excellent data analyst who builds clean, reliable reporting that people actually use. You care about data quality, clarity, and making complex metrics understandable. You're fluent in SQL and experienced with dbt. You can build and maintain well structured models, not just write queries. You're comfortable with BI tools and visualisation platforms. You know how to design dashboards that surface the right information without clutter. You have at least 5 years of experience, ideally with some exposure to finance, FP&A, or commercial analytics. You understand how finance teams think about metrics and drivers. You communicate clearly with non technical partners. Finance will rely on your reporting to make decisions. You need to explain what it shows, where the data comes from, and where the limitations are. You're comfortable working across teams. You'll pull metrics from squads across the business, which means building relationships and understanding how different parts of Relay operate. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Technical SQL Interview - 1 hours Hiring Manager Interview - 45 min Case Study - 1 hour Values & Impact Interview - 45 min Decision and offer within 48 hours. Our process mirrors our pace of work. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy and delivery partner, we enable our clients to move from strategy to reality, taking a pragmatic, practical approach to delivering change that lasts. We're seeking Senior Business Analysts and Business Analysts to help our utility clients deliver the digital, technology and organisation change across the AMP cycle. Please note, this is an initial 3-6 month contract that will require up to 3 days working on client site in the South of England and may involve extensive travel to other sites. SUMMARY You'll join North Highland's Energy & Utilities (E&U) practice, working with our UK water utility clients across the South of England analysing and shaping their multi-year transformation and change portfolios, delivered under managed service and consulting frameworks. The sector is delivering the biggest upgrades seen in a century - modernising assets, systems and ways of working to ensure essential water and waste services are provided. These portfolios are delivered against the backdrop of the AMP 8 regulatory period and include various delivery modes: Enterprise Programmes (core platform and technology replacement / modernisation, regulatory-driven programmes etc), Digital Delivery (Agile/hybrid programmes transforming customer journeys, operational decision-making, case management etc), Operational Change (targeted, "deploy and embed" initiatives affecting frontline populations), and Operating model change (people-led restructuring of how teams are organised, governed and held accountable). The portfolios span all core business units of water utilities - Water, Waste, Engineering, Asset Management, Supply Chains, Operations and Control Centres as well as enabling functions such as HR, Finance, Commercial and Procurement. YOU WILL: Lead requirements elicitation and definition through workshops (often multi-disciplinary), interviews, site visits, job shadowing and document analysis; translate outcomes into high-quality artefacts (epics, user stories, acceptance criteria, use cases and walkthroughs). Map current-state (AS-IS) and future-state (TO-BE) processes; identify gaps and cross-functional handoffs across value streams and client operations. Highlight constraints driven by regulation, safety and asset criticality, producing evidence-based documentation suitable for assurance and audit. Support operating model and workforce change analysis - roles and process impacts, decision rights, governance and handoffs so solutions land effectively across teams. Analyse data flows, data needs and core use cases; capture end-to-end customer and operational journey requirements to support service design, prioritisation and delivery readiness. Maintain end-to-end traceability from business objectives through requirements to delivered outcomes, managing changes through appropriate change control. Collaborate closely with Product, Engineering, Change and Ops to ensure requirements are understood, testable and deliverable, supporting UAT readiness and implementation cutover where needed. IDEALLY, WE'D LIKE: Proven Business Analyst experience in utilities/water, or other closely regulated operational environments (power, telecoms, infrastructure, transport, government, field-based or scientific operations). Strong experience supporting digital transformation and/or change portfolios with multiple workstreams, dependencies and governance. Process mapping and modelling, operating model design and process optimisation, and workforce change impact analysis (roles, skills, ways of working, training/readiness dependencies). Digital journey / service design experience (customer or colleague journeys, pain points, outcomes, prioritisation). Systems experience across EAM platforms (SAP PM, Maximo), GIS platforms, customer platforms (billing, CRM, CCAS) and analytics tooling; exposure to programmes such as ERP, CRM migration, GIS Utility Network Model, lab data systems or workforce management is a strong advantage. Excellent stakeholder engagement, confident facilitating workshops and communicating clearly at all levels; comfortable across Agile/Waterfall/hybrid delivery with tooling such as Jira/Confluence. Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. This is a temporary employee (PAYE) opportunity working via an Umbrella company. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.

Purpose of the Role To extract meaningful insights from complex data sets, develop robust decision models, and present actionable recommendations to stakeholders across the departments. Accountabilities Identification and extraction of relevant data from various internal and external sources. Perform sensitivity analysis and scenario planning. Monitor and evaluate the performance of existing models. Develop and implement data quality control procedures. Build and validate quantitative models to support decision making across different business areas. Expectations As a leader or senior contributor, you will contribute to strategy, drive requirements, make recommendations for change, plan resources, budgets, and policies, manage and maintain processes, deliver continuous improvements, and address breaches of policies or procedures. You will set direction, keep budgets and schedules on target, and ensure short and long term goals align with corporate requirements. For individuals without formal leadership, you will act as a subject matter expert, guide technical direction, lead multi year assignments, train team members, advise key stakeholders, manage risks, and strengthen controls. Key Responsibilities Shape the pricing strategy for Barclaycard Payments, combining data driven insight with commercial understanding to support pricing decisions that drive growth, profitability, and customer value. Develop and refine pricing approaches that keep the business competitive in a dynamic payments market. Create, develop and maintain pricing models using deep analysis of customer behaviour, transaction trends and competitor activity to generate actionable insights. Lead performance reviews of pricing initiatives, monitor outcomes and identify opportunities for optimisation. Oversee model governance activities to ensure pricing methodologies are robust, well controlled and clearly documented. Translate complex data into meaningful commercial recommendations that influence the success of Barclaycard Payments' pricing strategy. Business Context Barclays' payments acceptance business processes billions of pounds of payments annually for small businesses and corporate clients. In April2025, Barclays announced a long term partnership with Brookfield Asset Management to grow and transform the payments business. The partnership involves broadening services, enhancing client experience and investing approximately £400million during the first three years with performance linked incentives. The goal is to eventually create a standalone entity while continuing to operate under the Barclaycard Payments brand. Qualifications - Essential Skills Degree in a relevant analytical discipline (Statistics, Mathematics, Economics, Finance, Data Science, or a related field). Experience working with large and complex datasets, including proficiency in SQL, Python and cloud (AWS) for data analysis and modelling. Experience developing data visualisations and delivering commercial insights with clear, data driven recommendations. Qualifications - Highly Valued Skills Experience in pricing, margin management and profitability analysis, assessing performance and supporting commercial decisions. Strong stakeholder engagement skills, building effective relationships and communicating insights across technical and non technical audiences. Virtual collaboration capabilities across Data & Analytics to deliver combined outcomes that support Pricing.

About Kaseya Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success. Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide. Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high growth, high performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike. At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar. Kaseya is looking for a Sr. Analyst Strategy, Planning, & Analytics to focus on strategic and operational initiatives impacting our customer base and customer facing teams. The ideal candidate for this role is a strategic thinker with an operational bend; they love B2B tech and want to take a role in optimizing our growing business lines. They know how to utilize data-driven and AI-enabled insights to shape company priorities and inform decision making across multiple teams and functions. This role will support strategy for customer facing functions, including New Customer Acquisition, Account Management, Marketing, and Product for the International Business. The role reports directly to the Snr Manager: International Strategy, Planning, & Analytics. This individual will help influence and drive the strategic direction of the company. Key Responsibilities Support and drive strategic and operational initiatives by developing data driven insights and recommendations to improve revenue growth, customer acquisition, retention, and expansion across international markets Apply AI-enabled analytics and advanced techniques (e.g., predictive modeling, segmentation, automation) to enhance decision-making, forecasting accuracy, and GTM effectiveness Partner with cross functional teams (Sales, Marketing, Product, Finance) and global counterparts to translate business problems into analytical frameworks and actionable outputs Build and maintain scalable reporting, dashboards, and performance tracking tools, incorporating automation and AI where appropriate Support pipeline analysis, forecasting, and strategic assessment of performance and optimisation opportunities (e.g., renewals, churn risk), identifying trends, risks, and opportunities across regions Lead or support project workstreams as needed, ensuring timely and high quality execution Communicate findings clearly to stakeholders, including senior leadership, through structured presentations and reporting Required Qualifications 3+ years of experience in strategy, analytics, GTM operations, or similar roles within a SaaS or B2B technology organization. Desirable MBA or graduate degree in a quantitative field a plus Strong understanding of recurring revenue business models; familiarity with B2B software strongly preferred Advanced analytical and modeling skills with the ability to work across multiple data sources; advanced Excel required Experience using reporting, visualization, or analytics tools to deliver business insights (e.g., Salesforce, Power BI, Thinkcell) Demonstrated experience applying AI / machine learning tools or techniques in a business context (e.g., forecasting, segmentation, automation, or insight generation) Strong financial and commercial acumen with the ability to apply a quantitative lens to strategic decisions Excellent communication and presentation skills, with the ability to translate complex analyses into clear, actionable insights and work collaboratively across functions Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Tesco UK • Welwyn Garden City • Full-Time • Permanent • Working hours 36 • Apply by 29-May-2026 The Product & Engineering team is responsible for developing and managing data products that drive intelligent experiences, decisions and actions across the Tesco ecosystem. We work in close partnership with business and technology teams across Stores, Finance, People, Customer, Commercial to enable the seamless build, consumption, integration and expansion of Data & AI capabilities. This is a fantastic opportunity to join our team and play a leading role in defining, building and launching new type of data products that have a real impact on Tesco business & colleagues. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. Responsibilities Team Leadership: Build, mentor and develop a high-performing team of analysts, fostering a culture of growth, inclusion and technical excellence with a strong emphasis on data and advanced analytics. Data Product Development: Lead the design, development and optimisation of scalable, secure and high-quality data pipelines and analytical models, enabling advanced analytics, machine learning and operational use cases. Collaboration: Work closely with cross-functional teams, including data science, engineering, product and business stakeholders to translate business needs into robust, data driven solutions. Technical Excellence: Promote and enable adoption of Technical Standards and Engineering Effectiveness within development squads. Technical Experience: Demonstrate expertise in using SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, building data pipelines and developing analytical interfaces. AI-Assisted Analytics: Bring experience and curiosity towards AI-assisted analytics and machine learning, actively exploring opportunities to integrate AI and ML within data and analytics products. Data Governance: Ensure data lineage, cataloguing and access controls are implemented and maintained, supporting compliance, discoverability and ethical use of data. Continuous Improvement: Drive continuous improvement (speed of delivery, product quality, reduce number of defects and time to fix) and facilitate innovation in business practices and ways of working. Stakeholder Engagement: Communicate complex data and analytics concepts effectively to technical and non-technical audiences, enabling informed decision making. Talent Development: Support recruitment, onboarding, and ongoing development of talent within the team. Identify skill gaps and lead targeted upskilling initiatives to enable the team to adopt software engineering best practices, AI capabilities, advanced analytics and automation practices. Qualifications Experience developing robust data products that are actionable and scalable. Expertise of using Spark, Dremio, Teradata or other SQL technologies. Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau. Experience with Python, GitHub, data orchestration tools (Oozie, Airflow) for data wrangling, building data pipelines and building analytical/web interfaces. Good understanding of the full data lifecycle and understanding of typical enterprise concerns around data platforms (Governance, Quality, Security). Experience creating outputs for both technical and non-technical audiences. Ability to manipulate, analyse and synthesise data using different sources to create customer led, data driven products and high impact presentations. Highly numerate with a university degree of 2:1 or higher in a quantitative discipline or relevant experience. Benefits Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Private medical insurance 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing Equal Opportunities We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please contact us.

ace has been engaged by a leading UK-headquartered wealth and asset management firm to support a multi-year technology transformation programme. The organisation manages assets across discretionary wealth, Responsible Investment (RI), charity, and institutional mandates, and is undergoing significant change: custody outsourcing to a global custodian, consolidation of its data platform on Snowflake, and a strategic initiative to build enterprise data foundations that will underpin AI, analytics, and regulatory capability for the next five years. We are seeking an experienced Data Architect to define, evolve, and govern the canonical data models that will underpin the firm's investment, client, and operational data domains. This is a high-impact role focused on models that get implemented and adopted, not documentation only. The successful candidate will bridge modelling and engineering: translating logical models into implementation-ready artefacts consumed by Snowflake, downstream analytics, and integration layers. This role is critical to enabling the organisation to move from fragmented, siloed data to a coherent, governed enterprise data model that powers scalable growth. This is a full-time position for an initial 3-month contract, for a Q3 start date. Responsibilities Define, evolve, and govern enterprise canonical data models across the firm's core buy-side data domains: positions, valuations, transactions, orders, client/AUM data, reference data, ESG/RI data, and benchmarks. Model the investment lifecycle end-to-end: order generation, execution, allocation, settlement, corporate actions, performance attribution, and accounting impacts (IBOR/ABOR). Establish clear semantics, entity relationships, identifiers, lineage, and versioning across all canonical models. Define golden-source ownership for each data domain and document data lineage from source system to enterprise model to consumption layer. Standards & Industry Frameworks Apply and map relevant buy-side industry standards including ISO 20022, FIX protocol, SWIFT messaging, GIPS, and relevant regulatory reporting frameworks. Evaluate and apply Open Standards where applicable (e.g., FINOS CDM for buy-side, FinDaF data vocabulary) to accelerate canonical model development. Ensure ESG and Responsible Investment data structures meet evolving regulatory and client disclosure requirements (e.g., SFDR, TCFD, SDR). Data Domains & Integration Lead modelling for ingestion and harmonisation of: Investment data: positions, trades, allocations, corporate actions, valuations, performance. Client data: AUM, mandate structures, client hierarchies, fee agreements, suitability profiles. Market & reference data: pricing, benchmarks, security master, counterparties, identifiers (ISIN, SEDOL, LEI). ESG/RI data: ESG scores, engagement records, screening criteria, voting data, impact metrics. Operational data: reconciliations, exceptions, custody instructions, settlement status. Define data models to support the firm's custody outsourcing programme, including data exchange specifications with the global custodian. Partner with Snowflake engineering teams to ensure canonical models are correctly implemented as Snowflake schemas, including transformation logic, data quality rules, and access patterns. Stakeholder & Domain Collaboration Work across Investment Management, Portfolio Management, Investment Operations, Distribution, Finance, and Compliance to ensure models support valuation inputs, performance reporting, client analytics, reconciliations, and regulatory submissions. Partner with the ESG/Responsible Investment team to model RI-specific data structures including company screening data, engagement history, proxy voting, and impact reporting. Act as a trusted authority and translator between business domain owners and technology engineering teams. Implementation & Engineering Bridge Translate logical models into implementation-ready artefacts: Snowflake DDL schemas, API contracts, event/topic models, validation rules, transformation specifications, and data quality rules. Provide architectural input into the target-state data platform and integration patterns (e.g., event-driven ingestion, Snowflake data vault / dimensional layers, API-first integration). Mentor engineers and analysts on model adoption, ensuring implementation fidelity across consuming applications. Governance & Standards Establish model governance practices: naming conventions, business glossary, metadata standards, stewardship model, change control, documentation, and versioning. Define and embed data quality rules and validation frameworks as part of the canonical model rollout. Contribute to the firm's broader data governance programme, including alignment with the data ownership and stewardship model being established across the organisation. Proven data modelling experience in buy-side asset management, wealth management, or investment operations - ideally at a tier-one asset manager, custodian, or leading FinTech serving the buy side. Strong front-to-back understanding of the investment lifecycle: order management, execution, allocation, settlement, custody, corporate actions, and performance/attribution. Deep expertise in buy-side data domains: positions/valuations, client/AUM, market/reference data, and investment accounting (IBOR/ABOR). Strong modelling fundamentals: entity/event modelling, lifecycle and state transitions, golden-source identification, schema versioning, lineage, and reference data management. Hands-on experience implementing models into a cloud data platform (preferably Snowflake); comfortable producing DDL, transformation specifications, and data quality rules. Experience working with MS Access databases and Charles River systems preferable. Background bridging modelling and engineering - able to work directly with engineering teams and validate implementation fidelity, ideally with a development background (Python, SQL, Java, or equivalent). Demonstrable experience of data governance: business glossary, metadata management, stewardship frameworks, and change control. Desirable Familiarity with ESG/Responsible Investment data structures and emerging regulatory frameworks (SFDR, TCFD, UK SDR, ISSB). Experience with data exchange in custody or outsourcing contexts, including SWIFT messaging or ISO 20022-based interfaces. Data or solution architecture experience: target-state modelling, integration patterns, event-driven design, canonical semantic layers. Exposure to AI/ML data requirements and the data modelling implications of analytics and LLM-enabled use cases in asset management. Certifications: DAMA/CDMP, TOGAF, or cloud data certifications (Snowflake SnowPro, Azure/AWS/GCP equivalents). Experience with streaming and event-driven ecosystems (e.g., Kafka, Azure Event Hubs) for real-time data ingestion patterns. Prior FTC or advisory engagement experience; comfortable with a focused, outcome-driven engagement model. Salary: Competitive Salary Length: Initial 3-month contract

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, dedicated to driving transformational change for our clients. We leverage proven technology, specialist teams, and extensive domain expertise to create robust technical foundations across platforms, data, and business applications. Our mission is fueled by a passion for technology as a means to solve complex business problems and achieve our clients' objectives. About the role This Data Engineer role offers an excellent opportunity for someone with a good understanding and working knowledge of designing and building robust data pipelines, integrating complex data sources, and developing solutions using Azure Data Services, Microsoft Fabric, Power BI, and Purview. As an experienced Data Engineer, you will handle more advanced engineering tasks, drive improvements to existing pipelines, and contribute to the design of scalable, high quality data architectures. You'll collaborate directly with clients and cross-functional teams, translating real business needs into effective data solutions while beginning to support and mentor junior engineers. This role is ideal for someone who wants to grow toward senior level responsibilities, gain exposure to architectural thinking, and work with cutting edge technologies, including Microsoft Foundry as part of emerging AI driven capabilities. Candidates should apply if they're looking for a role that blends hands on engineering, problem solving, continuous learning, and meaningful contribution to client outcomes within a high performing Data & AI business unit. Responsibilities Design, build, and maintain scalable, secure, and high performing data pipelines using Azure Data Factory, Synapse, Fabric Pipelines, or Databricks Integrate data from multiple systems into Azure Data Lake Storage or OneLake, ensuring consistency, reliability, and performance Develop and maintain ELT/ETL processes using Azure-native tools and Fabric capabilities, optimising for cost and performance Build and maintain Microsoft Fabric artefacts including lakehouses, warehouses, notebooks, dataflows, and semantic models Perform advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting Manage and optimise data models used by Power BI, ensuring good performance, relationships, quality, and reusability Support enterprise BI development by preparing datasets, semantic models, and reusable components within Power BI and Fabric Apply data governance and security best practices by implementing Purview classification, lineage, access controls, and policies Conduct data quality checks, data validation routines, and issue resolution to ensure trustworthy and reliable datasets Work closely with cross-functional teams (data architects, analysts, data scientists, product teams) to understand requirements and translate them into robust data solutions Engage directly with clients and stakeholders to clarify data needs, communicate progress, and explain technical concepts in a clear, accessible way Take ownership of more complex engineering tasks and assist senior engineers with solution components requiring deeper technical insight Mentor junior engineers by providing guidance, performing code reviews, and sharing best practices in engineering standards and Azure environments Contribute to CI/CD processes, version control practices, and automated deployment pipelines for data solutions Support the creation of documentation for pipelines, datasets, data models, and solution designs Troubleshoot pipeline failures, performance issues, and data inconsistencies, ensuring the stability and reliability of production workloads Stay current with emerging tools and capabilities across Azure, Microsoft Fabric, Power BI, Purview, and Microsoft Foundry Identify opportunities to improve efficiency, automation, scalability, or maintainability across existing pipelines and solutions Contribute to internal knowledge sharing, best practice development, and engineering accelerators or templates Qualifications Deep understanding of Azure Data Factory, Synapse, Fabric, Power BI and Databricks Experience in Fabric/data architecture Experience in Fabric/data migrations Understanding of the requirements of stringent data governance Ability to consult with clients Proven experience of mentoring teams Experience of advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting Benefits Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth. Flexible working: Flexible work arrangements to support your work life balance. We can't promise to always be able to meet every request, however, are keen to discuss your individual preferences to make it work where we can. A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well being, and insurance schemes. EEO and Accessibility At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement. If you don't tick all the boxes but feel you have some of the relevant skills and experience we're looking for, please do consider applying and highlight your transferable skills and experience. We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation. Your perspective and potential are important to us. If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.

Zilch is a payment tech company on a mission to create the most empowering way to pay for anything, anywhere. Combining the best of debit, credit and savings, we give our customers the option to earn instant cashback or spread the cost of pricier purchases, completely interest free and with no late fees. Pretty great, right? We started in 2018 with a small team and a big dream - to make credit accessible to all. Since then, we've achieved double unicorn status and taken on more than 5 million customers. There are some exciting projects coming up and we've got big growth plans. Want to join us? About the role We are looking for a Senior Finance Data Analyst to join our Finance Data team. This is a technically deep role that sits at the boundary of data engineering and finance analytics - ideal for someone who is as comfortable building robust data models and pipelines, understands financial logic and is happy to work with finance stakeholders. You'll bring advanced SQL skills, strong data modelling instincts, and the ability to build scalable, well structured data infrastructure that finance teams can rely on. Finance domain knowledge is important, but your primary strength is data - you think in schemas, pipelines, and systems as much as in metrics and reports. If you thrive on solving complex data problems, care deeply about data quality and structure, and want to work in a fast paced team where your technical contributions directly shape how the business understands its finances - we'd love to hear from you. Day to day responsibilities Data modelling & pipeline ownership: Design, build, and maintain robust data models and transformation pipelines in dbt or equivalent tooling, ensuring finance data is structured, reliable, and scalable across the warehouse. Finance analytics: Translate complex financial logic into clean, well documented SQL and data models that finance teams can rely on for reporting and decision making. Data quality & controls: Implement and maintain data quality checks, reconciliation logic, and monitoring across critical finance data pipelines, proactively identifying and resolving issues before they reach downstream consumers. Metric governance: Define and govern core finance KPIs and metrics, ensuring a single source of truth across the business and clear documentation of definitions, logic, and ownership. Cross functional collaboration: Work closely with Finance, Analytics Engineering, and Product teams to ensure finance data requirements are embedded in data infrastructure from the start, and that outputs are fit for purpose across all downstream uses. Automation & process improvement: Identify and automate manual finance data processes, improving reliability and scalability while reducing operational burden on the team. What we're looking for SQL native - complex queries, window functions, performance tuning is where you feel at home. You care about correctness. Finance data has to be right - you build with that standard in mind from the start. You're curious about the business. You want to understand what the numbers mean, not just how to query them - and you're comfortable picking up finance context as you go. You take ownership. You don't wait to be asked - you spot a problem in a pipeline and you fix it. You communicate clearly. You can explain a complex query to a finance stakeholder and a financial concept to a data engineer. SQL expertise: Advanced SQL is non negotiable - you write complex queries fluently and understand performance, indexing, and warehouse specific behaviour (e.g. BigQuery, Snowflake, or Redshift). Data modelling: Strong grasp of data modelling concepts and hands on experience building models in dbt or a comparable transformation framework. Data quality mindset: Experience building and maintaining data quality checks, reconciliation logic, and monitoring in a production environment. Experience: 3-5+ years in a data analyst, analytics engineer, or finance data role, ideally within financial services or fintech. Stakeholder management: Comfortable working directly with finance stakeholders, translating business requirements into technical specifications and communicating data concepts clearly to non technical audiences. Understanding of financial reporting concepts sufficient to implement finance logic accurately and challenge requirements constructively. Database and data modelling experience - dimensional modelling, dbt, or a comparable transformation framework - is a strong advantage and an area we'd invest in developing. Experience with data orchestration tools such as Airflow or equivalent. Python or another scripting language for data manipulation and automation. Background in consumer lending, payments, or embedded finance products. Experience working in an Analytics Engineering or hybrid analyst/engineer capacity. Benefits Income Protection Permanent employees enjoy access to our Share Options Scheme 5% back on in app purchases £200 for WFH setup Private medical insurance including GP consultations (video, telephone or face to face), prescribed medication, in patient, day patient and out patient care, mental health support, physiotherapy, advanced cancer cover Employee Assistance Programme including unlimited mental health sessions, 24/7 remote GP & physiotherapy, 24/7 helpline for emotional & practical support Savings & discounts on everyday shopping 1:1 personalised well being consultations Family Friendly Policies Enhanced maternity pay Enhanced paternity pay Enhanced adoption pay Enhanced shared parental leave Learning & Development Professional qualifications Professional memberships Learning suite for e courses Internal training programmes FCA & regulatory training Work arrangements Hybrid working: office based Monday, Wednesday, and Thursday; remote working Tuesday and Friday. Casual dress code. Workplace socials.

Smiths Group designs, manufactures and delivers smarter engineering solutions for mission critical applications, solving some of the world's toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering. We serve millions of people every year, to help create a safer, more efficient and better connected world, across four major global markets: Energy, General Industry, Security & Defence, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries. This pioneering spirit continues to drive us today, underpinned by our powerful culture. Improving our world is what we do, how we think, and how we will continue to use our passion for technology and engineering to tackle our customers biggest challenges today and in the future. We're looking for people with curious minds. Who want responsibility and relish a challenge. Whether you're an experienced professional or just starting out, our global scale and focus on growth means we have some great career opportunities for you. There's never been a better time to join Smiths. Design, build and deploy interactive Power BI dashboards and reports. Develop robust data models using star schema and dimensional modelling principles. Create and optimise DAX measures for performance and scalability. Deliver ETL processes across SAP, databases and other data sources. Gather and translate business requirements into analytical solutions. Ensure data accuracy, consistency and governance across reporting layers. Optimise report performance, including query tuning and dataset management. Work with large datasets using SQL and, ideally, Python. Support deployment pipelines and version control practices. Troubleshoot data and reporting issues to ensure timely resolution. Implement data validation, cleansing and reconciliation processes. Maintain and enhance existing Power BI assets in line with evolving business needs. Establish data quality checks and monitoring mechanisms. Use advanced Excel (Power Query, complex formulas, data modelling) to support reporting and automation. Qualifications Required Skills & Experience Significant experience in Data Analytics or BI development. Strong expertise in Power BI (Desktop & Service) and proficiency in DAX and Power Query (M). Strong SQL skills and experience with relational databases. Solid understanding of data modelling (Kimball / Star Schema). Hands on experience with SAP data (ECC, BW extracts). Knowledge of ETL processes and data pipelines. Strong analytical and problem solving skills. Ability to communicate insights clearly to non technical audiences. Preferred Skills Experience working in large enterprise data environments. Understanding of data governance, lineage and metadata management. Familiarity with version control tools. Awareness of AI/ML use cases in analytics. Strong stakeholder management and communication skills. Experience in Energy, Manufacturing or Supply Chain sectors. Understanding of SAP functional areas (Finance, Procurement, Supply Chain). Diversity & Inclusion We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.

Data Analyst Location: Hull Location type: Hybrid The role We are seeking a Data Analyst to join our Media division and play a key role in delivering audience, membership, product, and business intelligence insights across a growing global media organisation. This is a highly collaborative role that sits at the intersection of Data Analytics, Business Intelligence, Analytics Engineering, and applied Data Science. You will work closely with teams across Product, Editorial, Marketing, Membership, Commercial, and Data to transform complex datasets into actionable insights that support audience growth, engagement, retention, and strategic decision-making. The successful candidate will be comfortable working across the full analytics lifecycle-from data acquisition and preparation through to modelling, analysis, reporting, visualisation, and stakeholder engagement. You will help unify and manage data from multiple platforms and sources, supporting the development of scalable reporting and intelligence capabilities across the business. What you'll be doing Audience & Membership Analytics Analyse reader, subscriber, and member behaviour toidentifytrends, opportunities, and areas for growth. Develop insights that support audience acquisition, engagement, retention, and content performance. Provide data-driven recommendations based on behavioural, transactional, and engagement data. Business Intelligence & Reporting Build,maintain, and improve dashboards, reports, and self-service analytics solutions. Translate business requirements into meaningful metrics, KPIs, and reporting frameworks. Data Management & Analytics Engineering Work with large-scale datasets from a wide range of internal and external sources. Support the integration, cleansing, validation, and standardisation of data across a diverse data ecosystem. Help unify data from multiple platforms and systems into consistent analytical models. Contribute to the optimisation and ongoing management of data pipelines and analytical workflows. Advanced Analytics & Data Science Apply statistical and analytical techniques toidentifypatterns, trends, and opportunities within audience and membership data. Support the development of segmentation models, recommendation frameworks, predictive analysis, and other advanced analytical initiatives. Contribute to the creation and enhancement of intelligence products and analytical capabilities that support business growth and decision-making. Stakeholder Management & Collaboration Partner with Product, Editorial, Marketing, Commercial, Membership, and Data teams on shared initiatives. Work across both the Media division and wider global data organisation to deliver analytical projects and insights. What we're looking for Experience in a Data Analyst, Business Intelligence Analyst, Analytics Engineer, or similar role. Advanced SQL skills and experience working with large, complex datasets. Strong Python skills for data analysis, automation, modelling, and data processing. Experience working with cloud-based data platforms such as Snowflake and GoogleBigQuery. Experience using business intelligence and data visualisation tools such as Power BI, Tableau, Looker, or equivalent platforms. Strong understanding of data modelling, data preparation, and analytics best practices. In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about the roles and benefits on offer in your region, visit GlobalData believes strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, we are proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

The Role is looking for a Business Analyst to support strategic products, markets, and customer segments within the Consumer business. This is a high-impact analytical and product-oriented role focused on business performance, growth opportunities, customer insights, product execution, and operational excellence. You will work closely with Business Leads, Product, Engineering, Trading, Risk, Compliance, Marketing, Finance, and Regional teams to help identify opportunities, shape product priorities, build business cases, track performance, and support the launch of new initiatives. Responsibilities Support the strategy, roadmap, and commercial performance of key business areas within Consumer. Analyze business performance across users, activity, revenue, margin, retention, volume, conversion, and P&L. Work with Business Leads and Product Managers to identify product opportunities, define problem statements, and support prioritization. Translate business goals, customer insights, and data analysis into clear product recommendations. Build dashboards, reports, and analysis to help teams understand performance, diagnose issues, and identify opportunities. Support business cases for new products, features, markets, or customer propositions, including market size, customer demand, economics, operational requirements, and risk. Partner with Product and Engineering to help define requirements, clarify trade-offs, and support delivery of customer-facing features. Support product launches by coordinating inputs across Product, Engineering, Marketing, CRM, Growth, Compliance, Operations, and Regional teams. Work with Trading, Treasury, Risk, Finance, and Compliance to analyze pricing, economics, risk controls, and profitability. Track competitors, customer behavior, and market trends to identify opportunities to differentiate and win share. Help establish a clear operating cadence around performance tracking, experimentation, launches, product reviews, and business reviews. Requirements Experience in business analysis, product analytics, product operations, strategy, growth, fintech, crypto, payments, consulting, or consumer technology. Strong analytical skills and comfort working with data, business modeling, funnels, unit economics, pricing, conversion, retention, and profitability. Ability to turn data, customer insights, and business problems into clear product recommendations. Strong product judgment and strong interest in building customer-facing products. Ability to work closely with Product and Engineering teams, including helping define requirements, prioritize opportunities, and support execution. Strong communication skills and ability to present findings clearly to cross-functional stakeholders. Comfort operating in a fast-moving, ambiguous environment. High ownership, attention to detail, and willingness to work across both strategic analysis and hands-on product execution. Interest in crypto, fintech, consumer products, and high-growth businesses. Benefits Full-time salary based on experience and meaningful equity in an industry-leading company Role based in our London office, with a mandatory in-office presence four days per week Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year. ClassPass Budgets for learning and professional development Unlimited vacation policy; work hard and take time when you need it Apple equipment The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field Flexible work culture

As a Senior Data & AI Analyst at Barrett Steel, you will play a pivotal role in driving the company's digital transformation through data, AI, and business systems. A key focus of the role will be supporting the migration to Epicor, ensuring data integrity, improving reporting capabilities, and helping the business maximise the value of its new ERP platform. Alongside the ERP migration, you will identify opportunities to design, develop, and deploy AI-powered internal applications that enhance sales productivity, automate manual workflows, and improve business decision making. Working closely with stakeholders across Sales, Operations, Finance, and IT, you will translate business challenges into innovative, data driven solutions that deliver measurable improvements in efficiency and customer service. You will be responsible for developing dashboards, reports, and analytics that provide actionable insights, while leveraging modern AI technologies to streamline processes and support business growth. As a senior member of the team, you will also champion best practices in data management, governance, and AI adoption, helping to build a data driven culture across Barrett Steel. This role is ideal for someone who enjoys combining technical expertise with business problem solving, has a passion for emerging AI technologies, and wants to make a tangible impact by delivering solutions that improve how the business operates every day. Key Responsibilities Help define and deliver Barrett Steel's Data & AI roadmap. Champion the adoption of AI across the business by providing support with identifying high value use cases and delivering proof of concepts. Design and deploy AI powered applications to improve sales productivity, automate workflows, and enhance decision making. Support the migration to Epicor, including data validation, reporting, and process optimisation. Support the implementation and development of a modern data platform, including Snowflake. Integrate data from multiple business systems to deliver trusted, business ready insights. Develop and maintain dashboards, reports, and KPIs using Tableau and Tableau Pulse. Build and optimise automated data workflows using Alteryx. Collaborate with stakeholders to identify opportunities for data, analytics, automation, and AI solutions. Help establish and promote best practices for data architecture, analytics development, data governance, and AI governance. Drive continuous improvement through automation, innovation, and the adoption of emerging AI technologies. Ensure data quality, integrity, and governance across reporting and analytics. We offer you Highly competitive salary depending on your experience Annual cycle to work scheme Company discount scheme for savings on retail and leisure On the job training Hybrid working environment All About You You are a collaborative, innovative, and commercially minded data professional with a passion for using data and AI to solve business challenges. You have the confidence to influence stakeholders at all levels, embrace new technologies, and drive meaningful change across the organisation. Data & Analytics Strong SQL Python basics Data quality and governance understanding Requirements gathering from business users AI & Automation Experience with Generative AI tools Basic understanding of LLMs and RAG (Retrieval Augmented Generation) AI use case identification, assessment and delivering from concept through to implementation and adoption. Familiarity with Microsoft Copilot, ChatGPT Enterprise, or similar enterprise AI tools Business Analysis Process mapping Workshop facilitation Translating business requirements into technical requirements Data Platform Knowledge Exposure to Snowflake Cloud data warehouse concepts ETL/ELT processes Highly Desirable Skills

Your role: VP AI & Data Platforms. You will lead our internal AI, data science and data engineering capabilities across our Europe & Rest of World fleet business unit. This senior leadership role focuses on turning AI and data into tangible business outcomes - driving growth, improving customer retention, optimising operations and enabling smarter decision making across the organisation. Responsibilities Lead AI & Data Strategy - Define and execute a clear AI and data strategy aligned to business priorities, with a focus on revenue growth, customer retention, operational efficiency and productivity. Identify, prioritise and build a portfolio of high impact AI and data initiatives. Deliver Business Impact - Own the end to end lifecycle of AI initiatives - from ideation and business case through to delivery, adoption and measurable results. Ensure solutions are embedded into business processes and drive real, sustained impact. Build & Scale Data Platforms - Oversee data science, machine learning and data engineering teams to build scalable, reliable and high quality data and AI platforms. Drive best practices in data architecture, model development, deployment and lifecycle management. Partner Across the Business - Work closely with Sales, Operations, Finance, Credit, Marketing and Technology teams to translate business needs into data and AI solutions. Act as a trusted advisor to senior stakeholders, bridging the gap between technical teams and commercial leaders. Drive AI Adoption & Capability - Champion the use of AI across the organisation. Promote practical, day to day use of AI tools and solutions, help teams unlock productivity and better decision making. Support training, up skilling and knowledge sharing to build a data driven culture. Lead & Inspire a High Performing Team - Lead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts. Build a strong, collaborative and innovative team culture focused on delivery and impact. Key Requirements Experience & Expertise - Proven experience leading AI, data science, machine learning or data platform teams, delivering data and AI initiatives with clear business impact. Strong understanding of data platforms, analytics, and ML/AI technologies. Experience operating in complex, matrixed organisations. Business & Leadership Skills - Strong commercial acumen and ability to link AI initiatives to business value. Excellent stakeholder management and influencing skills at senior levels. Ability to operate strategically while staying close to execution. Experience leading cross functional initiatives end to end. Mindset - Pragmatic and delivery focused, with a bias for action. Curious, innovative and comfortable challenging the status quo. Strong communicator, able to translate complex topics into clear business language. Passion for building and developing high performing teams. Benefits & Perks Competitive salary (depending on experience) + bonus. 25 days annual leave plus public holidays; holiday buy back scheme. Pension scheme. Health and wellness programs. Significant career progression opportunities, with potential to take on a wider role in the future. Opportunity to join a leading brand in a high growth global business. Equal Opportunity Employer Corpay is an Equal Opportunity Employer. Corpay provides equal employment opportunities to all employees and applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information, veteran or military status or any other protected class. If you require reasonable accommodation for the application and/or interview process, please notify a representative of the Human Resources Department.

Are you ready to make an impact in a dynamic, cross-functional environment? As an Analyst or Associate in the Markets Financial Resource Management team, you will work with Equities and Prime Financial Services management and desk heads to optimize their financial resource footprint. You'll interface with Trading, Financing, and Client Service organizations, gaining exposure to all major players and supporting strategic initiatives that drive profitability and resource efficiency. We offer a collaborative culture focused on your growth, skill development, and the opportunity to shape business strategy. As an Analyst or Associate within the Markets Financial Resource Management team, you will assess capital, balance sheet, and funding/liquidity needs, understand regulatory constraints, and translate firm strategy into actionable opportunities. You'll collaborate with Trading, Financing, and Client Service teams across Equities and Prime Financial Services, as well as Corporate and Investment Banking support functions. You'll also support cross product needs for other Markets Lines of Business and contribute to strategic projects and reporting for senior management. Job responsibilities Become a subject matter expert on capital, balance sheet, funding, and liquidity, and understand how financial constraints create challenges and opportunities for Equities and PFS franchises. Establish integrated capital and funding strategy across Markets Trading businesses. Analyze key financial metrics driving performance across equity trading strategies and products. Understand effects of internal policy and external regulatory changes to manage balance sheet, funding, liquidity, and capital related costs within Markets business. Support key regulatory requirements and projects such as CCAR, FRTB, and Recovery & Resolution. Execute value add FRM strategic initiatives to enhance business profitability. Develop new and improved reporting tools and analytics, partnering with Data Analytics and Technology teams to create Big Data solutions. Prepare materials and presentations reporting FRM team insights and initiatives to senior management. Assist with ad hoc strategic and business transformation projects. Required qualifications, capabilities, and skills Understanding of accounting, balance sheet, funding, and regulatory principles and their application. Self directed, highly motivated, and able to work independently on multiple priorities under pressure. Proactive and entrepreneurial mindset. Good interpersonal and communication skills, both verbal and written, with ability to interact comfortably across businesses and functions. Strong analytical skills, quantitative mindset, and excellent attention to detail. Excellent Excel and PowerPoint skills. Preferred qualifications, capabilities, and skills Experience or awareness of market, credit, and liquidity risk aspects of financial products in cash and derivatives instruments. Experience collaborating with cross functional teams. Bachelor's degree in Finance, Economics, Business, or a related field. Proactive approach to learning and professional development. Preferred qualifications, capabilities, and skills Experience developing reporting tools or analytics. This role encompasses the performance of regulated activity. The successful candidate will therefore be subject to meeting regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the relevant regulatory authorities to carry out such activities.