Data Analyst / APM

This role involves guiding data-driven decisions by analyzing large datasets using SQL and other tools, defining problem statements, and communicating findings. Responsibilities include creating dashboards, designing A/B tests, and ensuring data cleanliness by working with various teams and integrating data sources. The ideal candidate will have 2-4 years of experience in data analysis, proficiency in SQL and basic Python, and familiarity with data visualization tools and statistical concepts.

Must Have

• Analyze large datasets with precision and efficiency with the help of SQL and other data processing tools like excel
• Define clear problem statements and break down solutions working with relevant teams - product, business owners, game design, user acquisition, technology etc.
• Provide deep dive analysis or standardized reporting as appropriate for each problem
• Communicate findings, results and recommendations
• Create standard dashboards and reports in tools like Looker where necessary for clear actionable insights
• Design, implement and evaluate A/B test experiments
• Continuously triangulate data to ensure cleanliness by checking on sources like Stores, MMPs, firebase etc
• Work with the data technology team to integrate data from multiple sources to create a seamless, reliable foundation for decision-making.
• Help develop proprietary data infrastructure and analytics systems

Good to Have

• Experience in product analytics
• Experience with apps, games or app based user acquisition
• Curiosity for use of AI developments in the field of data

Job Location: Bangalore On-site

Experience: 2 to 4 Years

Responsibilities

Guiding Decisions

• Analyze large datasets with precision and efficiency with the help of SQL and other data processing tools like excel
• Define clear problem statements and break down solutions working with relevant teams - product, business owners, game design, user acquisition, technology etc.
• Provide deep dive analysis or standardized reporting as appropriate for each problem
• Communicate findings, results and recommendations
• Create standard dashboards and reports in tools like Looker where necessary for clear actionable insights
• Design, implement and evaluate A/B test experiments

Managing a clean data pipeline

• Continuously triangulate data to ensure cleanliness by checking on sources like Stores, MMPs, firebase etc
• Work with the data technology team to integrate data from multiple sources to create a seamless, reliable foundation for decision-making.
• Help develop proprietary data infrastructure and analytics systems

Required Skills

• 2+ years of experience in data analysis
• Proficiency in SQL, with the ability to write efficient queries that deliver results fast
• Basic Python skills for automation and data manipulation
• Experience with Data Visualization tools like Looker, Tableau etc.
• Strong understanding of statistical concepts to analyze A/B test experiments (confidence intervals, significance testing, etc.)
• Experience handling large datasets with ease, ensuring both structure and scalability
• Ability to translate complex data into clear, compelling insights for technical and non-technical teams
• Ability to communicate with multi disciplinary teams
• Experience in product analytics is a major plus, helping to refine and enhance user experiences
• Experience with apps, games or app based user acquisition is a big plus
• Curiosity for use of AI developments in the field of data is a plus

Please note: This position is for one of Playdawn's clients, and successful candidates will be hired directly by the client, not by Playdawn.

Our client is proud to be an equal opportunity employer. They are committed to fostering a diverse and inclusive workplace where all individuals are treated with respect and have equal access to opportunities, regardless of race, color, religion, gender, age, disability, or other protected characteristics. They believe that diversity fuels innovation and creativity, and they strive to create an environment where everyone can thrive and contribute to shared success.