انتهت صلاحية هذا الإعلان الوظيفي
انتهت بتاريخ ١ أبريل ٢٠٢٦
وصف الوظيفة
The Data Analyst is responsible for ensuring product stability and driving growth by continuously monitoring key metrics, detecting anomalies, and performing deep-dive analyses to uncover the drivers behind performance shifts. This role is not about building data pipelines; it is about analytical investigation. You will focus on understanding the "why" behind the data—identifying what broke, what worked, and providing actionable insights to optimize results.
المسؤوليات
- Continuously track key product and business KPIs to ensure data health
- Identify deviations from expected values and ensure timely, accurate reporting
- Maintain the integrity of analytical dashboards
- Investigate drops or fluctuations in metrics to distinguish symptoms from core issues
- Conduct deep-dive analyses to explain performance changes and provide clear, data-backed answers
- Establish the root causes of performance shifts rather than just reporting symptoms
- Establish benchmarks based on historical data to evaluate current performance
- Compare results against internal standards to identify opportunities for growth and optimization
- Track performance trends over time to predict potential risks
- Translate complex data sets into clear, narrative insights for stakeholders
- Highlight both "red flags" and success stories, proposing specific actions to improve KPIs
- Turn raw data into actionable business strategies
- Partner with Product, Marketing, and Finance teams to align analytics with business objectives
- Empower teams to make data-informed decisions through clear communication
- Help stakeholders better understand data trends and their direct impact on the business
المؤهلات
- 2+ years of experience as a Data, Product, or Performance Analyst in iGaming
- Solid understanding of product and business metrics (KPIs, Funnels, Retention, Revenue, Conversion, etc.)
- Proven track record in troubleshooting metric drops, analyzing instability, and identifying root causes
- Strong command of SQL (PostgreSQL / BigQuery), including complex queries, joins, and aggregations
- Experience building and maintaining dashboards in Tableau, Looker Studio, or similar tools
- Practical experience using Python for data analysis (Pandas, Numpy)
- Advanced proficiency in Excel / Google Sheets for rapid data validation and hypothesis testing