Senior Data Analyst

Location: Bengaluru

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 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.