Junior Product Analyst

About the role

In this role, you will define the product analytics roadmap and establish KPIs across various segments such as sportsbook, casino, and CRM. Your work will directly influence revenue and retention strategies within the company.

Collaboration is key, as you will partner with multiple teams including Product, Marketing, and Finance. Success in this position requires translating complex data into actionable insights and supporting executive leadership with performance forecasts.

Skills that matter here

• SQL: This role requires strong SQL proficiency to analyze large-scale user data and develop analytical models.
• Tableau: Experience with Tableau is essential for creating product health dashboards and visualizing performance metrics.
• Power BI: Power BI will be used to support data-driven decision-making and reporting.
• Looker: Looker is part of the BI tools you will use to derive insights from product performance.
• Metabase: Metabase skills will help in building user-friendly analytics reports.

Who this role suits

• A candidate with a background in product analytics or business intelligence.
• Someone who thrives in fast-paced environments and enjoys collaborating with various teams.
• An individual who can communicate complex data insights clearly to stakeholders.
• A person who is detail-oriented and committed to improving data quality and tracking accuracy.

From the employer

Responsibilities

Product Analytics Strategy

• Define and maintain the product analytics roadmap aligned with business objectives.
• Establish standardized KPIs for sportsbook, casino, retail, payments, CRM, and promotional mechanics.
• Lead the development of product health dashboards and performance monitoring frameworks.

Data-Driven Decision Making

• Translate business questions into analytical models and measurable insights.
• Provide deep analysis on user behavior, funnels, retention, churn, betting patterns, bonus efficiency, and feature adoption.
• Identify growth opportunities and areas of product optimization.

Experimentation & Optimization

• Design and oversee A/B testing frameworks and experimentation methodology.
• Measure impact of new features, pricing strategies, promotions, and UI/UX changes.
• Validate hypotheses using statistical analysis and structured experimentation.

Cross-Functional Collaboration

• Partner closely with Product, BI, Marketing, CRM, Risk, Trading, and Finance teams.
• Act as a strategic advisor to Product Managers during roadmap planning and prioritization.
• Support executive leadership with high-level performance insights and forecasting.

Data Infrastructure & Governance

• Work with Data Engineering teams to ensure reliable data pipelines and event tracking.
• Improve tracking accuracy and data quality across platforms.
• Define clear metric documentation and data dictionaries.

Requirements

• 5+ years of experience in Product Analytics, Data Analytics, or Business Intelligence
• Strong SQL proficiency (advanced level)
• Experience with BI tools (Tableau, Power BI, Looker, Metabase, etc.)
• Strong understanding of experimentation (A/B testing, statistical significance)
• Experience working with large-scale user data and transactional systems
• Ability to translate analytical findings into business recommendations
• Strong communication and presentation skills
• Experience working in fast-paced product organizations