Data.

About the Role My client is seeking a Director of Analytics & Business Intelligence to lead and scale their data function within a high-growth, regulated digital gaming environment. This is a hands-on leadership role responsible for driving analytics strategy, delivering actionable insights, and partnering cross-functionally with Product, Marketing, Finance, Operations, and Professional Services. The successful candidate will serve as a key advisor to senior leadership, translating complex data into clear, commercially impactful decisions. Key Responsibilities Analytics Strategy & Governance Define and execute the analytics vision, strategy, and roadmap aligned to business objectives Establish and maintain robust data governance frameworks to ensure accuracy, integrity, and consistency Partner with technology teams on data infrastructure, owning the analytics and insight layer Act as a subject matter expert on analytics best practices and responsible data usage Translate complex data into clear, actionable insights for executive stakeholders Player & Marketing Analytics Lead analysis of customer behavior, segmentation, lifecycle performance, and LTV modelling Drive insights on acquisition, retention, and engagement strategies Oversee reporting on digital marketing performance, loyalty programs, and ROI metrics Collaborate with marketing and product teams to optimise campaign effectiveness Financial & Operational Analytics Support budgeting, forecasting, and financial planning processes Develop KPIs, dashboards, and reporting frameworks to drive business performance Deliver insights that connect operational performance to revenue outcomes Provide cross-functional analytical support across key business areas Compliance & Risk Analytics Partner with compliance teams to identify potential fraud and AML risks through data analysis Ensure all analytics outputs meet regulatory and compliance requirements Professional Services Support Provide client-facing teams with market intelligence, benchmarking, and performance insights Develop standardized reporting, ROI frameworks, and dashboards to support client engagements Enable data-driven storytelling to support client acquisition and retention Leadership & Team Development Build, lead, and mentor a high-performing analytics team Establish workflows, prioritization models, and quality standards Drive a culture of curiosity, accountability, and commercial focus Scale team capability in line with business growth Requirements Experience 7+ years in data analytics or a related field, with at least 3 years in a leadership role Proven experience owning and leading an analytics function Strong experience in customer analytics, including segmentation and LTV modelling Track record of presenting insights to executive and board-level stakeholders Experience in high-growth or scaling environments is highly desirable Exposure to multi-partner ecosystems, loyalty programs, or P&L analytics is advantageous Education Bachelor’s degree in a relevant field (e.g., Economics, Business, Statistics, Engineering) Master’s degree preferred Skills & Competencies Strategic mindset: Ability to translate business problems into analytical solutions Technical expertise: Strong SQL skills; experience with BI tools (e.g., Power BI); advanced Excel Additional tools: Experience with Python, R, or similar is a plus Communication: Ability to simplify complex insights for non-technical audiences Leadership: Proven ability to build, manage, and develop teams Business acumen: Solid understanding of financial metrics, ROI, and revenue drivers Collaboration: Strong cross-functional stakeholder management skills Data governance: Deep understanding of data quality, integrity, and best practices Why Apply? Opportunity to lead a high-impact analytics function within a growing digital business Strategic, visible role with direct exposure to executive leadership Chance to shape data-driven decision-making across multiple business functions Build and scale a team in a dynamic and evolving environment

One of our fastest growing customers is looking for a hands on Senior AI Engineer/Head of AI to work on a fully remote basis. We are seeking a Senior AI Engineer/Head of AI to build and lead the development of AI systems that take on high-volume, repetitive decision-making, enabling our teams to focus on strategic and creative work. You will own the AI agenda end-to-end, from team build-out to the design, deployment and governance of decisioning systems, along with the supporting data and evaluation infrastructure. Working closely with specialist teams, you’ll ensure systems reflect real expertise and deliver measurable business impact. Key responsibilities Design and deploy AI agents and LLM-based systems to automate specialist judgement tasks, optimising for cost, quality, latency and ROI Build scalable data, retrieval and evaluation infrastructure to ensure decisions are explainable, testable and continuously improving Partner with business teams to identify high-impact use cases and deliver production-ready solutions that enhance output Establish robust data governance and responsible AI practices, including human-in-the-loop controls and regulatory compliance Report on performance, decision quality and business impact to senior stakeholders Requirements 5+ years’ experience in AI, data science or machine learning, including leadership of AI strategy and delivery at scale Advanced degree in Computer Science, AI, Data Science or related field Hands-on expertise in ML, generative AI, LLMs and decisioning systems in production environments Strong background in BI, marketing analytics and linking AI initiatives to commercial KPIs Excellent stakeholder communication skills Strategic, pragmatic and delivery-focused mindset Experience applying AI in iGaming is essential If you’re a hands-on AI leader excited to build an AI function from the ground up in a fast-paced environment, we’d love to hear from you. They are negotiable on total compensation package.

We're looking for a BI Analyst who already knows this industry. You've come up through an operator's data team or another affiliate. You know what NDC, NGR, and retention curves mean in practice. And you're ready for a role where you can do more than service requests.   What You'll Be Doing Turning data into decisions. You'll work directly with our data engineers on a Microsoft Fabric / Azure stack, pulling insight from affiliate, CRM, and web data that actually shapes how we spend, where we focus, and what we build next. Owning the numbers that matter. Player behaviour, channel performance, operator programme economics, content effectiveness — you'll know this data better than anyone, and you'll be the person the business turns to when it needs to understand what's happening and why. Building the reporting layer. You'll design and maintain dashboards and reports that people actually use — clear, accurate, and built for the decisions they're supporting, not for the sake of looking good. Working on AI tooling. We're building proprietary AI capability into how we acquire and understand audiences. You'll work with product and engineering to develop and interrogate that tooling — finding efficiencies and surfacing insights that wouldn't be visible any other way. Keeping the data honest. You'll own data quality across reporting — tracing discrepancies, maintaining consistency, and making sure the numbers we act on are numbers we can trust. Being genuinely useful to the business. Marketing, Commercial, Operations — you'll work across all of them, translating what the data says into language and recommendations that land with people who aren't analysts.   What You Need Industry experience — operator, affiliate, or adjacent. You understand how this business model works, not just how data works. Strong SQL. Complex queries, not just lookups. Hands-on experience with Power BI or equivalent, and comfort working within a cloud data stack (Azure / Fabric / Synapse / Data Factory or similar). A track record of delivering insight that changed something — a decision, a strategy, a spend allocation. Clear communication. You can write a slide or talk through findings with a commercial director without losing either of them. The drive to work things out yourself. We'll give you the stack, the access, and the context — the curiosity has to be yours. What Would Make You Stand Out Python or R for statistical analysis or modelling. Experience with marketing analytics tools — Google Analytics, GA4, attribution platforms. Familiarity with A/B testing or predictive modelling in a commercial context. Agile ways of working — Jira, Confluence, sprint cadences. The Package £50,000 base + bonus scheme Hybrid working — remote Wednesdays and Fridays 25 days holiday Vitality Private Healthcare (on completion of probation) Milton Keynes parking permit (on completion of probation)