What the Candidate Will Need / Bonus Points
---- 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.
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---- Basic Qualifications ----
- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
- 6+ 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
- Advanced SQL expertise
- Experience with either Python or R for data analysis
- Significant experience in setting up and evaluation of complex experiments
- Proven 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 ----
- Proven aptitude toward Data Storytelling and Root Cause Analysis using data
- Ability to learn and adapt to new methodologies for data collection and analysis
- Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail
- Ability to work in a self-guided manner
- Ability to mentor, coach and develop junior team members
- Superb communication and organisation skills
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*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 accommodations@uber.com.