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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Blip - **Location:** UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, JIRA, Cloud Computing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Relational Databases, Distributed Data Store, Github, Python (Programming Language), Machine Learning, Microsoft PowerPoint, Power BI, SQL Databases, Tableau (Software), Information Technology, Pure Data, Looker Analytics, Data Pipelines - **Published:** September 19, 2026 - **Apply:** https://startup.jobs/senior-data-analyst-tsed-unipessoal-10116544 ## About the Role * Deep experience in workforce analytics, financial analysis, or operational planning, going beyond pure data reporting, with a track record of delivering complex analytical projects that shape business direction. * Strong commercial and business knowledge, ideally within sports betting, gaming, or a related sector. * Proven ability to work across Tech, Finance, and HR domains * Experience managing large-scale, multi-source, sometimes incomplete or ambiguous datasets * Degree (or equivalent) in a relevant technical field such as Mathematics, Computer Science, Statistics, or Engineering/ a track record of excellence in subjects with a mathematical or statistical focus. * Strong understanding of workforce planning concepts; financial/capex tracking; engineering or delivery structures * Ability to connect data to commercial and operational outcomes * Strong stakeholder management (Tech + Finance + HR) * Excellent presentation and storytelling skills, with the ability to adapt messaging for diverse audiences including senior stakeholders, delivering output that is clear and succinct despite the subject being complex. * Proven ability to work independently and provide a personal resolution to projects, while also supporting the Delivery & Continuous Improvement and wider Global Platforms team. * Proactive and collaborative, with strong cross-functional relationship-building skills and the ability to drive alignment on priorities. * Curious and questioning approach with a high level of attention to detail * Willingness to learn and continuously improve. * Strong problem-solving skills. * Experience using SQL to query large relational databases. * Knowledge of statistical programming software and techniques (e.g., Python, R). * Strong experience with BI and visualisation tools such as Looker, Tableau, Power BI, or EazyBI - including building scalable, well-governed dashboards. * Experience with ETL data pipelines and statistical/data modelling techniques. * Understanding of Jira / GitHub data ecosystems * Working knowledge of cloud computing (e.g., AWS), machine learning concepts, and distributed database architecture is desirable. * Advanced use of Microsoft Excel and PowerPoint. ## Description * Global Platforms operates at significant scale (~600 people), requiring a live, accurate, view of workforce composition, allocation, cost, and capability. * This role is responsible for building and maintaining that view - enabling leadership to understand who we have, where they are deployed, how their time is spent, and how this aligns to investment, delivery and efficiency outcomes. * The role sits at the intersection of Technology, Finance, and HR, combining data engineering, analytics, and business insight. * It will also be central to the evolution of AI-enabled tooling, dashboards, and processes to continuously improve visibility, forecasting and decision-making. What You'll be Doing Workforce Visibility & allocation: * Maintain a single, accurate view of all people (~600) across Global Platforms, tracking organisational structure and role types, squad/platform allocation, location and cost centre, skills and capability profiles * Provide clear insight into how resources are distributed vs strategic priorities Capacity & Investment Tracking: * Track how time is spent across capitalised delivery, operational activity, and training/development * Ensure alignment between reported effort, financial capitalisation, and delivery plans * Identify and resolve inconsistencies between engineering, finance, and planning views Workforce Planning & Change Management: * Track and govern vacancy creation and conversion (role-type changes), and new headcount approvals vs actual recruitment * Maintain an auditable view of workforce evolution over time * Support scenario modelling for workforce planning decisions Financial Alignment & Budget Governance: * Partner closely with Finance to track workforce costs vs budget, and ensure alignment between headcount, allocation, and financial forecasts * Provide leadership with clear, reconciled views of spend vs plan Workforce Efficiency & Ratio Analysis: * Define and track key operational ratios, e.g., engineering vs product vs support; build vs run; seniority mix * Identify opportunities to improve operating model efficiency and effectiveness Data Platform, Tooling & AI Enablement: * Own and evolve the People Data ecosystem, including data pipelines across HR, Finance, and Engineering systems; dashboards and reporting layers * Design scalable, AI-enabled approaches to automate insights generation, improve data quality management, and enable self-service access for leadership * Reduce manual reporting overhead and dependency risks. Leadership Support & Insight Generation: * Act as a trusted partner to Global Platforms leadership * Translate complex data into clear narratives, actionable insights and decision-ready outputs * Support strategic initiatives with robust workforce data and modelling ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Jobs in Tech: The State of the European Market](https://www.wearedevelopers.com/magazine/575-jobs-in-tech-the-state-of-the-european-market) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)