Quantitative Product Analyst

BETER

. Monitor and evaluate product performance metrics, including turnover, GGR, margins, betting activity, and customer behaviour across products, clients, markets, and regions .

Posted 10/19/2026full-timeRemote • BulgariaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical skills with advanced proficiency in Excel or Google Sheets, SQL, and BI tools such as Power BI, Tableau, or Looker. Capable of interpreting complex datasets and providing actionable business recommendations in the sports betting and esports industries.

Highest-signal resume keywords

Analytical SkillsSQL ProficiencyExperience With BI ToolsStatistical Analysis With Python or RUnderstanding Of Betting Metrics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical MethodsForecastingCommercial Impact AssessmentProduct Performance MetricsTrend DetectionHypothesis TestingRoot Cause AnalysisData ModellingPerformance Gap Analysis

Soft Skills

Problem-Solving SkillsAttention To DetailExcellent Communication SkillsCommercial Awareness

Tools & Technologies

ExcelGoogle SheetsSQLPower BITableauLooker

Industry Keywords

Sports BettingEsportsIGamingProduct OptimisationMarket Intelligence

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Monitor and evaluate product performance metrics, including turnover, GGR, margins, betting activity, and customer behaviour across products, clients, markets, and regions
Detect trends, anomalies, performance gaps, and product optimisation opportunities
Test hypotheses, validate findings, and distinguish meaningful trends from normal fluctuations
Analyse client underperformance and unusual betting patterns to identify root causes and recommend improvements
Develop scenarios, forecasts, and commercial impact assessments
Support business cases for new products, markets, and esports formats; define success metrics and assess pilot results
Use competitor and market intelligence to identify risks, opportunities, and competitive advantages
Present complex findings clearly and provide actionable recommendations to Product, Trading, and Commercial stakeholders
Report to the Head of Esports Product, eLeagues, and collaborate with Product, Trading, Quantitative Analytics, Operations, BI, and Commercial teams

Requirements

What you’ll need

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

Benefits

Comp & perks

20 paid vacation days per year
10 paid sick days annually, with simplified sick leave arrangements
Paid public holidays according to your country of employment
Flexible working arrangements, including remote or hybrid options depending on the role and location
Flexible working hours, with core collaboration hours from 11:00 to 17:00 (UTC+3)
A supportive international team and opportunities to collaborate with experienced professionals across different markets
Professional growth opportunities in a dynamic and fast-growing esports and sports betting industry