Senior BI Analyst (NCE) in London

Requirements

• Expert knowledge of SQL, with strong experience in Python and/or R for building complex queries and statistical models - this is a must
• Skilled in data visualisation and storytelling, using Power BI and clear, slide-based presentations to influence decision-making
• Experience with dbt, GitHub, or similar data transformation technologies, with a solid understanding of data modelling and ETL processes
• Ability to apply advanced statistical techniques to test hypotheses and ensure insights are robust, meaningful, and relevant
• Strong Excel and data modelling skills
• Demonstrated interest in sports and gaming, with the ability to grasp the key drivers of NCE regional performance
• Excellent problem-solving and analytical skills, with the ability to simplify complexity into actionable insights
• High standards of accuracy, precision, and rigour, with strong attention to detail
• Confident communicator with the ability to convey complex information clearly, both verbally and in writing
• Fluency in English

What the job involves

• As a Senior BI Analyst for the NCE region, you will play a key role in enabling commercial, product, and leadership teams to make confident, data-driven decisions.
• You will go beyond reporting, proactively uncovering opportunities, shaping strategic initiatives, and equipping stakeholders with the insights and tools they need to improve performance and drive growth.
• This role combines deep analytical capability with strong business partnering.
• You’ll work hands-on with data, while also being a trusted advisor to senior leaders, product managers, and marketing teams.
• You will contribute to building the foundations of the NCE BI & Analytics function, helping to raise standards, share best practice, and embed a culture of evidence-based decision-making across the business.
• As an “all-rounder” analyst, you will turn complex data into clear, actionable insights.
• Your work will span the full analytics spectrum, from identifying business needs and framing problems, through data exploration, modelling, and pipeline development, to delivering results through analysis, AB testing, reporting, and impactful visualisations.
• This role offers the opportunity to be part of a new business function with an exciting future and to directly influence outcomes in key European markets.
• Proactively generate insights on customer behaviour, retention, churn, and lifetime value, identifying patterns and opportunities that improve the member journey and drive revenue growth.
• Deliver deep-dive analyses and ad hoc projects that go beyond reporting to explain the “why” behind performance.
• Quantify the commercial impact of product improvements and new initiatives, supporting roadmap prioritisation and Finance business cases.
• Provide visibility on marketing effectiveness and ROI, enabling the Commercial, Marketing, and Finance teams to make investment decisions with confidence.
• Build and maintain robust data models, clean datasets, and clear KPIs to ensure stakeholders have a trusted single source of truth.
• Work hands-on with SQL, dbt, and related technologies to transform raw data into reliable, scalable data products.
• Partner with central BI teams to align on standards, ensure quality, and share best practice in modelling and data governance.
• Act as the analytical partner for the NCE product and CX teams, leveraging data to improve customer experience and influence product strategy.
• Collaborate with compliance, safer gambling, and marketing teams to evaluate initiatives and measure their business impact.
• Challenge assumptions and provide evidence-based recommendations to guide decisions in complex or high-impact areas.
• Develop scalable reporting and automation that reduce manual effort and make insights readily accessible across teams.
• Translate complex data into clear visualisations and compelling narratives, enabling senior stakeholders to understand what the numbers really mean.
• Continuously improve reporting processes to ensure accuracy, efficiency, and alignment with business priorities.
• Build strong relationships with central functions, divisional analysts, and group teams to share knowledge and foster collaboration.
• Encourage open communication across teams to break silos and promote cross-functional working.
• Support and mentor colleagues, sharing expertise in SQL, data modelling, and storytelling to raise the overall analytics capability of the function.