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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)

Job Description We are seeking a detail-oriented and data-driven Business Intelligence Tableau Analyst to join our  Business Intelligence team. This role focuses on leveraging customer relationship management (CRM)  data to provide actionable insights that drive business decisions, enhance customer engagement, and  improve marketing ROI. This is a unique opportunity for a talented, self-motivated individual looking  to build on their existing experience to join a dynamic Team and contribute to the growth of an already  successful business. Responsibilities include: • Design, develop, and maintain interactive Tableau dashboards and reports. • Ensure visualizations are accurate, efficient, and accessible to users. • Create data models to support reporting needs. • Conduct in-depth data analysis to identify trends, patterns, and insights. • Collaborate with business units to understand their data requirements and provide relevant  solutions. • Interpret data, analyse results, and provide ongoing reports. • Leverage advanced Tableau functionality (parameters, actions, tooltip modifications, API, etc.)  to create analytical dashboards. • Present findings and insights to stakeholders in a clear and concise manner. • Train and support end-users on Tableau. What we are looking for: • Bachelor’s degree/master’s degree in quantitative discipline such as statistics, mathematics,  economics, operations research Data Science, Business Analytics • At least 2-3 years of experience in a CRM analyst, marketing analyst, BI analyst or similar  role. • Strong analytical and statistical skills; proficient in SQL and MS-Excel; knowledge of Python  or R is a plus.  • Working experience with Tableau would be considered a plus. • Experience with customer segmentation, cohort analysis, and campaign tracking. Working  experience in the gaming industry and/or • Knowledge of predictive modelling and machine learning techniques would be considered a  strong plus.  • Analytical mindset, attention to detail with ability to focus and prioritize workload.  • High drive, can-do attitude, proactive, and flexible to changing business demands. • Strong communication with fluency in English is required, excellent presentation and data  storytelling skills with the ability to explain technical concepts to non-technical  stakeholders.  • Ability to think strategically and primarily cooperate and interact with senior stakeholders.