Senior Games Data Analyst (Europe, Asia)

5+ years of experience in data analytics, product analytics, business intelligence, or a related field.

At least 3 years of experience in gaming, online entertainment, betting, or financial quantitative research, or another high-volume digital product environment.

Having published statistics-related research in an SCI-indexed journal is a plus.

Advanced SQL skills and experience working with large-scale datasets.

Strong understanding of product and gaming metrics, including DAU/MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV, and player value.

Solid knowledge of statistics, hypothesis testing, experiment design, and A/B testing.

Sporty is a remote first company in pursuit of sustainability

A competitive salary + individual performance based bonuses every quarter

28 days paid annual leave

Our core working hours are 10am-3pm in your local time zone with flexibility outside of this

Referral bonuses & flash bonuses

Top of the line equipment

We are looking for a Senior Games Data Analyst to transform player and product data into actionable insights that improve player experience, engagement, retention, and monetization.

In this role, you will partner closely with Product Managers, Game Operations, Marketing, CRM, and Engineering teams.

You will lead analytical projects, evaluate game features and promotional activities, establish reliable measurement frameworks, and provide data-driven recommendations that influence product strategy and business decisions.

Analyze player behavior across the full lifecycle, including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation.

Identify opportunities and risks through player segmentation, funnel analysis, cohort analysis, retention analysis, and behavioral pattern analysis.

Design and evaluate A/B tests and other experiments, including hypothesis development, sample-size estimation, metric selection, statistical testing, and result interpretation.