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Senior Data Analyst

Senior Data Analyst

Moonfrog Labsmount, India
1 day ago
Job description

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.

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