The company is looking to improve the user experience by making policies, processes, and tools for gaining and maintaining access to the platform transparent and fair.
Requirements
- Advanced SQL expertise
- Proficiency in Python
- Basic understanding of experimental design (such as A/B experiments) and statistical methods
- Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)
- Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field
- Advanced experience with experimental design and statistical methods such as causal Inference
Responsibilities
- Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business
- Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing
- Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines
- Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives
- Present findings to senior management to inform business decisions
Other
- M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
- Minimum of 3+ years of industry experience required for M.S. degree and minimum of 4+ years of industry experience as a Product Analyst or equivalent for Bachelor's degree
- Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
- Strong judgment, critical-thinking, and decision-making skills
- Ability to solve complex business problems that cross multiple product/project areas and teams
- Balance attention to detail with swift execution
