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Director of analytics - performance

Leeds
O Partners
Director of analytics
Posted: 20 October
Offer description

A fast-scaling Betting Organisation is looking for a Director of Analytics - Performance to lead its UK analytics and commercial intelligence function. This is a rare opportunity to shape how data drives decision-making across a dynamic, consumer-facing business .This role is based in Leeds and requires you to be there 2/3 days a week.



The information below covers the role requirements, expected candidate experience, and accompanying qualifications.

You’ll be at the forefront of building a high-impact analytics capability, working across product, marketing, operations, and finance to unlock growth opportunities, improve customer experience, and optimise performance.


What You’ll Be Doing


* Build & Lead a UK-based analytics team focused on commercial performance, customer behaviour, and operational efficiency.
* Define Strategy for how data is used across the business to inform decisions, improve outcomes, and drive innovation.
* Deliver Insights that influence everything from acquisition and retention to product development and campaign effectiveness.
* Collaborate Cross-Functionally with senior stakeholders to ensure analytics are embedded into daily operations and long-term planning.
* Develop Tools & Dashboards that provide real-time visibility into key metrics and business performance.
* Champion Innovation by identifying opportunities for AI, machine learning, and predictive modelling to enhance customer experience and business outcomes.


What You’ll Bring


* Senior-level experience in analytics leadership within digital-first industries, ideally gaming, betting, or entertainment.
* Strong commercial acumen with the ability to link data to business strategy and performance.
* Proven track record of building and scaling high-performing analytics teams.
* Excellent communication skills, with the ability to influence senior stakeholders and translate complex data into clear, actionable recommendations.
* Familiarity with modern data tools and environments (e.g., Power BI, Tableau, SQL, Python, Snowflake, etc.).

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