Senior Data Analyst

Moonfrog Labs; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Moonfrog Labs is seeking a Senior Data Analyst to join a fast-paced, data-driven gaming team in Bengaluru. You will drive analytics across marketing, product, and game performance, handling datasets with billions of points and delivering actionable insights.

You will own end-to-end analytics, design experiments, build dashboards, and mentor junior analysts while partnering with Marketing, UA, Engineering, and Product teams to shape player experiences.

Qualifications

• 4-6 years of experience in data analytics, gaming, consumer tech or digital products.
• Strong foundation in statistics, experimentation, and data science fundamentals.
• Proficiency in SQL, Excel, and Python.
• Bachelor's or Master's 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 optimisation, or large-scale campaign measurement is desirable.

Responsibilities

• Deliver end-to-end analytics and data science projects aligned with product and business goals.
• Conduct deep-dive analyses across UA, marketing performance, and campaign effectiveness.
• Partner with Marketing and UA teams to optimise spend efficiency, ROI, and creative performance.
• Collaborate with game and product teams to design and optimise data-driven features.
• Design, execute, and interpret experiments (A/B tests) to guide decisions.
• Build and maintain dashboards, pipelines, and analytical frameworks for real-time insights.
• Mentor junior analysts and foster analytical growth.
• Contribute ideas during product and marketing brainstorming.

Skills

SQL

Python

Excel

Statistics

AB Testing

Data Visualization

Storytelling

Stakeholder mgmt

Education

Bachelor's or Master's in quantitative field

Tools

Metabase

Looker

Tableau

Power BI

QlikView

Job 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 optimisation. 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 optimise spend efficiency, ROI, and creative performance through data-driven recommendations.
• Collaborate with game and product teams to design, validate, and optimise 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 rigour and technical growth within the team.
• Contribute ideas and innovations during product and marketing brainstorming and planning sessions.

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 modelling.
• 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 skills, and be 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.

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 modelling, ETL design, and performance optimisation.

Data Visualisation 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 visualisations that enable faster decision-making.
• Ensure data accuracy and clarity in all reports and visual artefacts.
• Comfortable distilling complex data into simple, actionable insights
• Action-Oriented, Ownership-Driven & Independent Contributor.
• Strong bias for action and ability to deliver at speed.
• Take complete ownershipfrom conceptualization to execution for analytics and data science projects.
• Proven ability to work independently, prioritise effectively, and manage multiple parallel initiatives.
• Proactively identify opportunities, propose solutions, and drive them to completion.

Requirements:

• 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 related quantitative field.
• Experience with big data platforms (Athena, Redshift, Hive, Spark) is a plus.
• Prior exposure to digital marketing analytics, UA optimisation, or large-scale campaign measurement is highly desirable.
• Bonus: Prior experience in a gaming company or with game performance analytics (player retention, monetisation, or in-game behaviour) will be a significant advantage.