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