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 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. - 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.