Minimum qualifications:
- Bachelor's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
- 5 years of experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.).
- Experience in articulating product questions, pulling data from datasets (e.g., SQL), and using statistics.
Preferred qualifications:
- 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).
- Experience working with multiple datasets/data warehouses, with the ability to pull from data sets using tools and coding.
- Experience in experimental design (e.g., A/B, multivariate) and incremental analysis.
Responsibilities
- Identify and structure business problems, communicate challenges and opportunities.
- Act as a thought partner to produce insights and metrics for various technical and business stakeholders.
- Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
- Follow engineering best practices to create scalable data pipelines and models.
- Engage and influence executive stakeholders and cross-functional partners, obtain buy-in for potential solutions, adapt messaging and suggested recommendations.