Senior Data Analyst

About the Role

We are looking for an exceptional Senior Data Analyst to join our fast-paced, data-driven gaming team. The ideal candidate will possess excellent SQL skills , a strong analytical mindset , and a passion for solving complex, high-impact problems across marketing analytics , product analytics , and gaming performance optimization .

This role offers the opportunity to work on massive-scale datasets (billions of data points) , influence product and marketing strategy, and partner with cross-functional teams to shape the future of our games and player experiences.

What We Are Looking For

1. Analytics & Problem-Solving Excellence

• Exhibit structured thinking , strong analytical skills , and a data-driven mindset .
• Solve complex, ambiguous problems with creativity and precision.
• Deep understanding of experimentation, A/B testing , and statistical modeling .
• Ability to translate analytical findings into clear business recommendations that drive measurable outcomes.

2. Stakeholder Management & Communication

• Work closely with senior leaders across Marketing, Product, Engineering, and Operations to identify key opportunities and deliver impactful insights.
• Demonstrate excellent communication and storytelling skills able to present data to both technical and non-technical audiences.
• Build trust with stakeholders through transparency, reliability, and a deep understanding of business context.

3. Engineering & Technical Foundation

• Design, build, and maintain data pipelines connecting games, ML models, data warehouses, and third-party systems.
• Proficient in SQL (expert level) and Python for data manipulation, analytics, and automation.
• Experience working with large-scale data systems (handling billions of data points).
• Familiarity with data modeling , ETL design , and performance optimization.

4. Data Visualization & Reporting

• Proficiency in Excel and at least one BI/visualization platform such as Metabase , Looker , Tableau , QlikView , or Power BI .
• Build scalable, self-serve dashboards and intuitive visualizations that enable faster decision-making.
• Ensure data accuracy and clarity in all reports and visual artifacts.
• Comfortable distilling complex data into simple, actionable insights.

5. Action-Oriented, Ownership-Driven & Independent Contributor

• Strong bias for action and ability to deliver at speed.
• Take complete ownershipfrom conceptualization to execution for analytics and data science projects.
• Proven ability to work independently , prioritize effectively, and manage multiple parallel initiatives.
• Proactively identify opportunities, propose solutions, and drive them to completion.

Responsibilities

• Deliver end-to-end analytics and data science projects aligned with product and business goals.
• Conduct deep-dive analyses to uncover actionable insights across user acquisition (UA) , marketing performance , and campaign effectiveness , including high-budget, multi-channel campaigns .
• Partner with the Marketing and UA teams to optimize spend efficiency , ROI , and creative performance through data-driven recommendations.
• Collaborate with game and product teams to design, validate, and optimize data-driven product features and engagement strategies.
• Design, execute, and interpret experiments (A/B tests) to guide strategic product and marketing decisions.
• Build and maintain dashboards, automation pipelines, and analytical frameworks to empower business and marketing teams with real-time insights.
• Mentor and guide junior analysts , fostering analytical rigor and technical growth within the team.
• Contribute ideas and innovations during product and marketing brainstorming and planning sessions.

Preferred Qualifications

• 46 years of experienc e in data analytics , ideally in gaming , consumer tech , or digital products .
• Strong foundation in statistics, experimentation, and data science fundamentals .
• Strong proficiency in SQL, Excel, Python
• Bachelors or Masters degree in Engineering, Statistics, Mathematics, Economics , or related quantitative field.
• Experience with big data platforms (Athena, Redshift, Hive, Spark) is a plus.

Bonus: Prior experience in a gaming company or with game performance analytics (player retention, monetization, or in-game behavior) will be a significant advantage.