At Systems and Gaming Network Nigeria Limited (Trading in the name and style of “National Lottery Nigeria”), we believe our employees are the cornerstone of our success. As we grow in the fields of Lottery and Technology, we are committed to fostering a workplace culture that attracts and retains top talent, encourages innovation, and promotes growth.We are currently seeking an experienced Human Resources Manager to join our Human Resources department and contribute to the continuous development of our HR practices and employee satisfaction.
JOB OVERVIEW:
- We are seeking a skilled and business-driven Data Analyst tjoin the Business Intelligence team at National Lottery Nigeria. This role is critical tunlocking customer insights, predicting possible churn, and driving data-backed decisions that improve customer engagement and revenue growth.
- The ideal candidate is not just technically sound, but alscommercially minded - capable of bridging the gap between raw data and actionable business strategies. Your mission will be town the story behind the numbers, providing insight intcustomer behaviour, churn triggers, player segmentation, and opportunities for retention, cross-selling, and lifetime value optimization.
- We are on a mission ttransform how we use data tdrive growth, player retention, and market leadership. We need someone whdoesn’t just crunch numbers but brings clarity and direction thow we act on them. If you're passionate about turning data intgrowth, this role is for you.
KEY RESPONSIBILITIES:
- Business Intelligence Operations & Stakeholder Collaboration
- Translate stakeholder questions intdata problems and convert data outputs intclear business narratives.
- Own data storytelling in weekly/monthly business reviews, highlighting wins, gaps, and strategic opportunities.
- Ensure reporting structures are accurate, real-time, and decision ready.
Customer Value Management and Business Insight:
- Analyze customer data tuncover growth drivers, behavioral patterns, and value gaps.
- Deliver actionable recommendations tincrease player retention.
- Design and maintain dashboards that highlight key metrics on player activity, conversion, reactivation, and engagement trends.
- Utilize statistical methods and tools tanalyze large datasets. Interpret trends, patterns, and anomalies, providing actionable insights for decision-making.
- Implement Extract, Transform, Load (ETL) processes ttransform raw data intusable formats. Streamline and automate data workflows for efficiency.
Predictive & Advanced Analytics:
- Build predictive models tidentify high-risk churn segments, likely-to-deposit users, and inactive-to-active transition opportunities.
- Segment customer base using RFM, cohort, or clustering analysis for targeted campaigns and promotions.
- Use predictive modelling/analysis tsegment customers by their likelihood tengage with specific products or promotions.
Strategic Business Support:
- Partner with Product, Marketing, and Customer Experience teams toptimize player journeys and improve funnel performance.
- Generate revenue-impact reports with clear business recommendations, not just observations.
- Perform A/B testing and impact analysis of new features or campaigns tevaluate success.
Method of Application
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