Senior Games Data Analyst — Remote & Data-Driven Impact

sportygroup; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Remote-first

Quarterly bonuses

28 days paid leave

Core hours 10am-3pm in local time

Referral bonuses

Top equipment

Annual company retreats

Job summary

sportygroup is seeking a Senior Games Data Analyst to transform player and product data into actionable insights that improve player experience, engagement, retention, and monetization. You will partner with Product, Game Operations, Marketing, CRM, and Engineering to lead analytical projects and establish reliable measurement frameworks.

You will build dashboards, evaluate experiments, and translate findings into clear recommendations for technical and non-technical stakeholders, while

Qualifications

• 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.
• Experience using Python or R for data analysis, statistical modelling, or automation.
• Experience with BI and visualization tools such as Tableau, Power BI, Looker, or Apache Superset.

Responsibilities

• 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.
• Measure the performance of game features, promotions, events, bonuses, and campaigns.
• Define and maintain key product metrics and analytical frameworks for different games and player segments.
• Build dashboards and recurring reports that allow stakeholders to monitor product performance and make timely decisions.
• Investigate unusual changes in KPIs and determine their underlying causes and business impact.
• Translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders.
• Partner with Product Managers and game teams to define analytical requirements before launching new features or initiatives.
• Work with Data Engineers to improve data quality, tracking coverage, data models, and analytical datasets.
• Promote consistent analytical standards and encourage data-informed decision-making across the organization.

Skills

Advanced SQL

Statistics & A/B testing

Analytical thinking

Stakeholder management

Communication

Project management

Independent work

Education

SCI-indexed statistics publication

Tools

Python

Tableau

Power BI

Looker

Apache Superset

SQL

Job description

sportygroup is seeking a Senior Games Data Analyst to transform player and product data into actionable insights that improve player experience, engagement, retention, and monetization. You will partner with Product, Game Operations, Marketing, CRM, and Engineering to lead analytical projects and establish reliable measurement frameworks.

You will build dashboards, evaluate experiments, and translate findings into clear recommendations for technical and non-technical stakeholders, while