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 ownership—from 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

4–6 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

Bachelor’s or Master’s degree in Engineering, Statistics, Mathematics, Economics , or related quantitative field.

Experience with big data platforms (Athena, Redshift, Hive, Spark) is a plus.

Prior exposure to digital marketing analytics , UA optimization , or large-scale campaign measurement is highly desirable.

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