⭐ Founding Lead Data Analyst ⭐

📊📈 Founding Lead Data Analyst 💻🔍 Salary: AED 174,000 per annum (AED 14,500 per month) Hours: Full-time, 09:00hrs - 17:00hrs Start: Immediate / ASAP – willing to wait for notice period Contract: Full-Time – 100% Onsite Location: Downtown Dubai, UAE (Onsite) Markets: US | Canada | Australia 🌎 Operating within the fast-growing sweepstakes casino and sports gaming space, this dynamic, data-driven digital entertainment business is looking for a commercially minded analytics leader to take ownership of its data analytics function. ✅ As a results-driven environment, the culture values people who lead, analyse, challenge and execute – offering direct exposure to senior management, real influence over important business decisions and a focus on measurable improvements rather than reporting activity. 💫 Are you a commercially minded data professional who can transform data into actionable business decisions? Sweepstakes, iGaming or betting experience would be great, but it’s not essential – strong analytical capability and the ability to learn a business quickly matter most. 🚀 Culture Guru is recruiting for a Founding Lead Data Analyst to join a fast-growing sweepstakes casino and sports gaming business and lead its data analytics function. ⭐ This opportunity would suit someone who wants to build the analytics function their way with a real seat at the table – taking ownership from initial analysis through to recommendation, implementation and performance measurement, while leading a small team of analysts and remaining hands-on. 🤓 Responsibilities of the role, but not limited to; • Analyse large datasets to identify trends, patterns, opportunities and potential business risks. • Develop and monitor KPIs across revenue, customer behaviour, retention, acquisition, profitability and operational performance. • Build and improve dashboards, automated reports and business intelligence tools. • Conduct customer segmentation, cohort analysis, profitability analysis and behavioural analysis. • Translate findings into clear, practical recommendations to increase revenue, improve customer retention, reduce costs and optimise business processes. • Lead, organise and coordinate a small team of data analysts, assigning tasks, establishing priorities and ensuring deadlines are met. • Mentor team members and establish efficient workflows, reporting standards and analytical processes. • Work closely with Marketing, CRM, Finance, Operations, Customer Support and senior management to implement data-driven improvements. • Challenge assumptions and business decisions when data suggests better alternatives. • Develop forecasting models and analyse customer lifetime value, acquisition costs, conversion rates, retention and revenue performance. • Present key findings, recommendations and performance updates to management. 😍 Desirable attributes of the successful candidate; • 4–6+ years of experience in Data Analytics, Business Intelligence or a similar analytical role. • Previous experience leading, supervising or coordinating analysts or small teams. • Advanced SQL skills and strong proficiency in BI tools such as Power BI, Tableau or Looker. • Strong statistical analysis and analytical problem-solving capabilities. • Strong commercial awareness and understanding of how data impacts business profitability. • Experience with Python, forecasting, predictive analytics or A/B testing is highly desirable. • Experience within sweepstakes, iGaming or sports betting is a nice-to-have – backgrounds in e-commerce, fintech, subscriptions, marketplaces or other data-intensive consumer businesses are equally valued. • Excellent communication and stakeholder management skills. 👉 Apply with your CV today to avoid missing the opportunity to take ownership of the analytics function in a fast-growing, data-driven business! Show more Show less

4–6+ years of experience in Data Analytics, Business Intelligence or a similar analytical role. Previous experience leading, supervising or coordinating analysts or small teams. Advanced SQL skills and strong proficiency in BI tools such as Power BI, Tableau or Looker. Strong statistical analysis and analytical problem-solving capabilities. Strong commercial awareness and understanding of how data impacts business profitability. Experience with Python, forecasting, predictive analytics or A/B testing is highly desirable.

Analyse large datasets to identify trends, patterns, opportunities and potential business risks. Develop and monitor KPIs across revenue, customer behaviour, retention, acquisition, profitability and operational performance. Build and improve dashboards, automated reports and business intelligence tools. Conduct customer segmentation, cohort analysis, profitability analysis and behavioural analysis. Translate findings into clear, practical recommendations to increase revenue, improve customer retention, reduce costs and optimise business processes. Lead, organise and coordinate a small team of data analysts, assigning tasks, establishing priorities and ensuring deadlines are met. Mentor team members and establish efficient workflows, reporting standards and analytical processes. Work closely with Marketing, CRM, Finance, Operations, Customer Support and senior management to implement data-driven improvements. Challenge assumptions and business decisions when data suggests better alternatives. Develop forecasting models and analyse customer lifetime value, acquisition costs, conversion rates, retention and revenue performance. Present key findings, recommendations and performance updates to management.