Duties included but not limited to:
Translate / Interpret:
Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
Measure / Quantify / Expand:
Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
Explore/analyze data and work with Research Scientists, other Data Scientists and Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers.
Partner with Data Engineers and Software Engineers to design products and systems to transform and store billions of data items.
Explore / Enlighten:
Given anecdotes about anomalies, design strategies to quantify the overall impact of such anomalies, deep dive to explain why they happen, and identify fixes.
Make Decisions or Recommendations:
Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science or a related quantitative field.
At least 3-5 years of experience with data querying languages.
At least 3-5 years of experience articulating business questions and using quantitative techniques and driving insights for business.
Experience with automated self-service reporting tools (e.g. Tableau).
Confidence in dealing with technical and non-technical senior level staff.
Ability to operate successfully and independently in a fast-paced environment.
Comfort with ambiguity and eagerness to learn new skills.