Data Scientist, Product, Google Play Games
Location
Bangalore | India
Job description
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
- Experience with Data Science, Statistics, Data Visualization, Dashboards, SQL, and SQL Pipelines.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Experience in utilizing unstructured data to answer open-ended business questions.
- Ability to retrieve data sets using tools and coding.
- Excellent communication and presentation skills, with the ability to deliver findings of analysis.
About the job
Help serve Google's worldwide user base of more than a billion people. Product Analysts provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Responsibilities
- Perform analysis by utilizing tools (e.g., SQL, R, Python), and use comprehensive technical knowledge and custom data infrastructure or existing data models.
- Own the process of gathering, extracting, and compiling data across sources using tools (e.g., SQL, R, Python).
- Report Key Performance Indicators (KPIs) to support business reviews with cross-functional leadership teams.
- Provide analytical insights and recommendations to influence product feature development decisions.
- Build and prototype analysis and business cases to provide insights at scale, and develop comprehensive knowledge of Google data structures and metrics.
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