> Markdown version of [/jobs/ext/1434955-lead-data-analyst](https://www.wearedevelopers.com/jobs/ext/1434955-lead-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Analyst - **Company:** Flagstone - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Python (Programming Language), Power BI, SQL Databases, Data Analytics - **Published:** July 25, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=a2c61b5a27bcd0af ## About the Role * 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 escalate, 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. ## Description 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. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)