Product Data Analyst
Description
Join an innovative, fast-paced analytics team at the cutting edge of sports betting and online gaming! As a Product Data Analyst, you will play a key role in analysing player behaviour and product usage to improve the player experience across our digital platforms. You’ll own recurring reports, contribute to experimentation, and provide actionable insights to help product teams prioritise features and refine user experiences. This is a great opportunity for someone with early-career analytics experience looking to deepen their technical skills and make an impact on customer-facing product decisions.
Responsibilities
- Conduct exploratory analyses to uncover player trends, engagement patterns, and friction points
- Translate findings into clear insights to support product development and UX initiatives
- Apply core statistical techniques such as: Hypothesis testing, Regression analysis (linear/logistic), Clustering or segmentation logic
- Support forecasting and behavioural modelling with guidance from senior analysts
- Assist in the setup, monitoring, and analysis of A/B tests and product experiments
- Contribute to test design and metric definition in collaboration with product managers
- Summarise results and support interpretation of causal impacts
- Build and maintain dashboards using tools like Dash, Streamlite or Power BI
- Present insights in recurring team syncs or product planning sessions
- Document analyses and findings in a clear, stakeholder-friendly format
Requirements
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Physics) (required)
- 1+ years of experience in analytics, preferably in a product or customer behaviour context (required)
- Proficiency in SQL and Python (pandas, NumPy); experience with Dash or visualisation tools is a plus (preferred)
- Foundational knowledge of statistical concepts and experimentation (required)
- Experience working with data from digital products or user behaviour tracking tools (required)
- Strong attention to detail, with the ability to translate data into actionable insights (required)
- Excellent communication and collaboration skills (required)
Benefits
- Medical, Dental, Vision, Life, and Disability Insurance
- 401(k) with company match
- Pre-tax spending accounts including health care FSA and commuter savings
- Flexible paid time off
- Professional development reimbursement and ongoing skills training opportunities
- Employee resource groups
- Swag, ticket giveaways, and more!