About the Role
The Core Analytics & Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products.
What the Candidate 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 other subject areas such as engineering, operations and marketing
- Collaborate with applied 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 find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.
Basic Qualifications
Undergraduate and / or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.9+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functionsExcellent understanding of statistical principles backed by an academic foundationAdvanced SQL expertiseExperience with either Python or R for data analysisSignificant experience in setting up and evaluation of complex experimentsProven track record to wrangle large datasets, extract insights from data, and summarise learnings / takeaways.Experience with Excel and some dashboarding / data visualisation (i.e. Tableau, Mixpanel, Looker, or similar)Preferred Qualifications
Prior experience with Ads, especially Demand Side Recommendations and OptimizationsAdvanced SQL expertiseAbility to mentor, coach and develop junior team membersSuperb communication and organisation skillsSkills Required
Statistical Analysis, Data Modeling, Python Programming, Machine Learning, Sql, Tableau