Data Analyst

Spotlight Sports Group is a global media and technology company with a clear purpose, to set the standard for trusted, customer-driven experiences across global racing and sports betting. Guided by our mission to create experiences that fans love, we combine more than 40 years of heritage with bold innovation to deliver award-winning content, data and digital products. With over 400 employees worldwide, our portfolio includes Racing Post, Pickswise, myracing and Free Super Tips, as well as the international marketing agency ICS-digital and ICS-translate. Together, we partner with leading operators, affiliates and media groups to power growth and engagement across the industry. This Data Analyst role sits within the Data Intelligence Unit (DIU) and is focused on insight generation, analytical problem-solving, and decision support, not just reporting. The role is responsible for improving the organisation’s understanding of customers, behaviours, and performance drivers by moving beyond surface-level trends to explain underlying causes, quantify impact, and support evidence-based decision-making across Content, Commercial, CRM, Product, and Leadership teams. This role is particularly well suited to an analyst who enjoys working with complex behavioural data, thrives in ambiguous problem spaces, and wants to influence strategy through rigorous analysis. An interest in sport and betting markets is helpful for context, but analytical curiosity and critical thinking are essential. This role is a hybrid role based in our Central London Office near Southbank 3 days a week, with 2 days from home. Key accountabilities: Insight Generation: Go beyond BAU reporting to proactively identify trends, patterns, and opportunities in customer behaviour, lifecycle progression, segmentation, and product engagement, linking insight to commercial and strategic outcomes. Stakeholder Collaboration: Work closely with squads, product teams, and leadership to understand challenges, shape hypotheses, and deliver insights that influence strategic decisions. Data Storytelling: Translate complex datasets and analysis into clear, compelling narratives that drive action, ensuring insights are accessible and meaningful for stakeholders with varying levels of data fluency. Impact Measurement: Develop and implement robust measurement frameworks, including test-and-learn approaches, to evaluate the success of business changes and ensure decisions are evidence-based and continuously refined. Championing a Data-Driven Culture: Advocate for data as a strategic asset, challenging assumptions and embedding insight-led decision-making across Content, Product, CRM, and Commercial teams.. Automation for Efficiency: Streamline and automate recurring reporting and analysis, maximising time spent on high-value insight generation rather than manual data preparation. Requirements Strong SQL skills, with the ability to query, join, and manipulate large and complex datasets …