Requirements:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) (or 2 years work experience with a Master's degree).

Nice to haves:

Advanced degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
Excellent data visualization skills, with the ability to build dashboards and visualizations for business reviews and executive-level presentations.

Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, custom data infrastructure, or existing data models.
Report key performance indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
Provide analytical insights and recommendations to influence product feature development decisions with some guidance.
Design and implement methodologies, dashboards, and presentations partnering with stakeholders across multiple functions and locations.

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