Senior Games Data Analyst

About the Role

We are seeking a Senior Games Data Analyst based in the United Arab Emirates to transform complex player and product data into actionable insights that drive engagement, retention, monetization, and overall player enjoyment. This senior-level position involves partnering closely with teams across Product, Game Operations, Marketing, CRM, Engineering, and more to help shape product and business strategies through data.

Key Responsibilities

• Analyze player behavior throughout the full lifecycle including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation stages.
• Identify growth opportunities and risks through segmentation, funnel, cohort, retention, and behavioral pattern analyses.
• Design and assess experiments such as A/B tests by defining hypotheses, estimating sample sizes, selecting metrics, conducting statistical testing, and interpreting results.
• Evaluate performance of game features, promotions, events, bonuses, and marketing campaigns.
• Define, track, and maintain vital gaming and product metrics across various games and player segments.
• Create dashboards, regular reports, and analytical tools to help stakeholders monitor performance and make timely decisions.
• Investigate significant or unexpected KPI fluctuations, identify root causes, and assess impact on business.
• Communicate complex analytical insights clearly to both technical and non-technical audiences with actionable recommendations.
• Collaborate with Product Managers and game teams to set analytical requirements and measurement standards prior to launching new features.
• Work with Data Engineers to enhance data quality, increase tracking coverage, improve datasets and data models.
• Promote consistent analytics methodologies and standards across the organization.
• Drive data-driven decision making by linking analysis to tangible business outcomes.

Candidate Requirements

• Minimum 5 years of professional experience in data analytics, product analytics, business intelligence, or related analytical disciplines.
• At least 3 years' experience within gaming, online entertainment, betting, quantitative financial research, or other high-volume digital product contexts.
• Expert proficiency in SQL, especially with large-scale datasets.
• Deep understanding of key product and gaming metrics such as DAU/MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV, and player value.
• Strong foundation in statistics, hypothesis testing, experimental design, and A/B testing methodologies.
• Hands-on experience with Python or R for data analysis, statistical modeling, or automation.
• Proficiency with business intelligence and data visualization platforms like Tableau, Power BI, Looker, or Apache Superset.
• Experience working with cloud data warehousing technologies such as Amazon Redshift, Snowflake, BigQuery, or Databricks.
• Background in designing event tracking systems and ensuring data quality.
• Exceptional analytical thinking and critical reasoning skills to convert ambiguous business questions into structured analyses and clear recommendations.
• Strong verbal and written communication skills to explain analytics concepts effectively to diverse stakeholders.
• Ability to independently manage multiple analytics projects within a fast-moving environment.
• Publishing research in SCI-indexed journals related to statistics is a plus.
• Meticulous attention to detail combined with pragmatic business orientation in data analysis.

Benefits and Working Conditions

• Remote-first work culture offering flexibility.
• Competitive salary complemented by individual performance-based quarterly bonuses.
• 28 days of paid leave annually.
• Core hours set from 10:00 AM to 3:00 PM local time with additional flexibility outside of these hours.
• Referral incentives and occasional flash bonuses.
• Provision of top-quality professional equipment.
• Annual company retreats to foster collaboration and networking.
• Engagement with challenging, large-scale gaming and digital product analytics projects.
• International and cross-functional workplace providing significant autonomy and ownership.

Additional Information

The recruitment process is managed through an AI-powered matching system ensuring fair and objective candidate review. Final hiring decisions and subsequent steps such as interviews and assessments are handled by the hiring organization. Privacy and data protection regulations are adhered to throughout the process. AI tools may be used to support application review but do not replace human decision-making.