About the Role
- - - - What You Will Do ----
- Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business
- Design experiments and interpret the results to draw detailed and impactful conclusions.
- Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and Engineering
- Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.
- Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
- - - - What You Will Need ----
- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
- 3+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions
- Excellent understanding of statistical principles backed by an academic foundation
- Experience with SQL and either Python or R for data analysis
- Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.
- Experience with dashboarding and data visualisation (i.e. Tableau, Mixpanel, Looker, or similar)
- - - - Preferred Qualifications ----
- Significant experience in setting up and evaluating complex experiments, especially in marketplaces
- Experience in modeling or causal inference
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .