Quantitative Product Analyst

We are looking for a Quantitative Product Analyst to join our Esports Product team at BETER.

In this role, you will transform complex betting, product, and operational data into actionable insights that drive product performance and business growth. You will analyse key metrics, identify trends and opportunities, evaluate new initiatives, and help teams make data-driven decisions.

You will report to the Head of Esports Product, eLeagues, and work closely with Product, Trading, Quantitative Analytics, Operations, BI, and Commercial teams.

• →Analyse product performance: Monitor and evaluate key metrics, including turnover, GGR, margins, betting activity, and customer behaviour across products, clients, markets, and regions.
• →Identify opportunities: Detect trends, anomalies, performance gaps, and areas for product optimisation.
• →Apply statistical analysis: Test hypotheses, validate findings, and distinguish meaningful trends from normal fluctuations.
• →Investigate performance challenges: Analyse client underperformance and unusual betting patterns to identify root causes and recommend improvements.
• →Build forecasts and models: Develop scenarios, forecasts, and commercial impact assessments to support business decisions.
• →Evaluate new initiatives: Support business cases for new products, markets, and esports formats, define success metrics, and assess pilot results.
• →Analyse market trends: Use competitor and market intelligence to identify potential risks, opportunities, and competitive advantages.
• →Drive data-informed decisions: Present complex findings in a clear, practical way and provide actionable recommendations to Product, Trading, and Commercial stakeholders.

• Strong analytical skills and a solid understanding of statistical methods and data analysis.
• Advanced proficiency in Excel or Google Sheets.
• Hands-on experience with SQL and BI tools (such as Power BI, Tableau, or Looker).
• Ability to interpret complex datasets, identify patterns, and translate findings into business recommendations.
• Strong problem-solving skills, commercial awareness, and attention to detail.
• Excellent communication skills, with the ability to explain analytical findings to both technical and non-technical stakeholders.

• Experience with Python or R for statistical analysis and data modelling.
• Previous experience in sports betting, esports, iGaming, or a related industry.
• Understanding of betting metrics, product performance, and commercial analytics.