Senior Data Analyst

Location: Bengaluru

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 ,  Qlik View , 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 e 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.

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