job description
Join a dynamic and data-driven team in the heart of Bali as a Senior Data Analyst specializing in Player & Business Performance. In this role, you will play a pivotal part in shaping strategic decisions by analyzing critical gaming metrics such as First-Time Depositors (FTD), deposits, Gross Gaming Revenue (GGR), Net Gaming Revenue (NGR), Lifetime Value (LTV), player behavior, and marketing performance.
Leveraging your expertise in data visualization, statistical analysis, and predictive modeling, you will transform raw data into actionable insights that drive business growth, enhance player engagement, and optimize marketing strategies. This is a unique opportunity to work in a fast-paced, innovative environment where your analytical skills will directly impact the company’s success in the competitive gaming industry.
Based in Bali’s vibrant tech hub, you’ll collaborate with cross-functional teams, including marketing, product, and finance, to deliver data-driven solutions that align with business objectives. Whether you're uncovering trends in player retention or evaluating the ROI of marketing campaigns, your work will be instrumental in steering the company toward sustainable growth.
Responsibility
- Analyze and interpret key gaming metrics (FTD, deposits, GGR/NGR, LTV) to identify trends, opportunities, and areas for improvement.
- Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Google Data Studio to visualize performance data for stakeholders.
- Conduct deep-dive analyses on player behavior, segmentation, and churn to inform retention and engagement strategies.
- Collaborate with marketing teams to measure and optimize campaign performance, including CAC, ROI, and conversion rates.
- Build predictive models to forecast player lifetime value (LTV) and other critical business KPIs.
- Automate data collection and reporting processes to improve efficiency and accuracy in decision-making.
- Present insights and recommendations to senior leadership in a clear, actionable format to drive data-informed strategies.
- Stay updated on industry trends and best practices in gaming analytics and data science to ensure competitive advantage.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. Master’s degree is a plus.
- Minimum 3+ years of experience in data analysis, preferably in the gaming, iGaming, or fintech industries.
- Proficiency in SQL (advanced querying, optimization) and Python/R for data manipulation and statistical analysis.
- Experience with data visualization tools (Power BI, Tableau, Looker) and ETL processes.
- Strong understanding of gaming metrics (FTD, GGR, NGR, LTV, retention, churn) and business KPIs.
- Familiarity with A/B testing, cohort analysis, and predictive modeling techniques.
- Excellent communication and storytelling skills to translate complex data into actionable business insights.
- Ability to work in a fast-paced, collaborative environment and manage multiple priorities effectively.