Senior Data Analyst - SQL/Python

Description :

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.

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.

The core requirements for the job include the following :

Analytics and 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.

Stakeholder Management and 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.

Engineering and 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.

Data Visualization and 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

Action-Oriented, Ownership-Driven, and 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.

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, and Python.

- Bachelor's or Master's degree in Engineering, Statistics, Mathematics, Economics, or a 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.