Requirements:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).
Experience working with multiple datasets/data warehouses and ability to pull from such data sets using relevant programs and coding.
Experience working with data visualization tools, Android, and Play Ecosystem.

Nice to Haves:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience in identifying opportunities for business improvement and defining/measuring the success of those initiatives.
Knowledge and understanding of the mobile ecosystem.
Excellent business acumen and experience with datasets to construct data analysis to answer business questions.
Excellent communication and presentation skills to deliver findings of analysis.

Drive analysis for the Android Wear OS device ecosystem.
Partner with Product managers, Engineering, UX and other Android teams to provide product and strategy insights that will improve performance and help scale the product/features.
Work with Engineering teams who create data pipelines to ensure proper dimensions and metrics are incorporated.
Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the organization.
Comply with all company health and safety policies, procedures, and legal requirements.

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