Data.

Fast-growing iGaming company scaling rapidly in the US, building a high-performance social gaming platform and expanding into new verticals. The Role This is a Director-level role combining technical depth with commercial impact. You will lead the insight function, initially as a hands-on individual contributor, using data to drive revenue, player behaviour, and business performance within the online casino vertical. The company already has a solid data foundation in place (real-time data and tools like Hex) — your role will be to build on this and evolve the insight function. We are looking for someone with experience in online casino and the ability to combine strong technical expertise with commercial thinking. Key Highlights Background in Data Science / Analytics / BI, with exposure to ML / AI / automation Hands-on role initially — working directly with data, queries, and analysis Lead the insight function from day one, with scope to define the roadmap and build and scale the team. Strong technical + commercial focus (revenue, retention, player behaviour) Key Responsibilities Apply data science and analytics to identify revenue drivers and growth opportunities Act as a bridge between data and commercial teams Work hands-on with data (SQL, analysis, modeling) Translate complex data into clear, actionable business decisions Partner with commercial teams (CRM, acquisition, VIP, casino) Define the data/insight roadmap aligned with business needs Explore and implement ML / AI-driven approaches where relevant  

This internation company operates in the iGaming sector, offering online sports betting and gaming products across multiple markets. The company combines advanced technology with a deep understanding of player behavior to optimize performance, marketing effectiveness, and product development. INFO: • Initial 1 year contract with Deel with later transition into a permanent role. • Remote start, with a hybrid model (3 days in the office) once the new hub is operational. Main Responsibilities: • Analyze data to generate insights that support strategic business decisions. • Apply statistical methods such as correlations, classifications, and hypothesis testing. • Transform customer data into actionable insights. • Develop and maintain reports and dashboards using SQL and Power BI. • Present data-driven recommendations to internal stakeholders. • Evaluate marketing campaigns, including A/B testing and performance analysis. • Optimize marketing activities based on data insights. • Focus on reporting, dashboarding, and delivering strategic recommendations. Desired experience: • Strong knowledge of statistical analysis and data interpretation. • Experience working with SQL and structured data. • Power BI or similar visualization tools. • Knowledge of Python or R is a plus. • Technical profile with a strong business-oriented mindset and focus on insights.  

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)