Senior Data Analyst - Safety and Insurance

Uber

San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 02/22/2021
  • Website: uber.com
  • Company Address: 1455 Market Street Suite 400, San Francisco, CA, 94103

About Uber

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

Job Description

About the Role

We're looking for a senior data analyst to join our Safety and Insurance Data Analytics team to provide data expertise and leadership as we work to make this world a safer place to move around. In this role you will need to have a proven foundation in analyzing data, relating it to business problems, and presenting analytic results with a broad variety of audiences around the company in a clear and impactful fashion. This role offers frequent interactions with a multi-functional team of engineers, product managers, lawyers, regional operations teams, and other data scientists and analysts

What You'll Do

  • Support Uber's rapidly growing and unique safety and insurance operations
  • Build and own periodic reporting - Take advantage of the ever-growing amount of data we have at our fingertips to help partners all over the world manage and improve our operations
  • Perform deep-dive analyses to discover root causes for safety issues and changes in trends
  • Collaborate multi-functionally across technical and non-technical partners to identify and improve safety-related processes
  • Present findings to senior management to drive business decisions
  • Anticipate the analytic needs of stakeholders and work with business partners to surface the appropriate information
  • Work cross-functionally related to our data preservation and retention policies

Basic Qualifications

  • M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Product Analyst or equivalent)
  • Advanced SQL expertise
  • Basic understanding of experimental design (such as A/B experiments) and statistical methods
  • Ability and experience in extracting insights from data, and summarizing learnings / takeaways
  • Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)

Preferred Qualifications

  • 6+ years of data analytics experience on a global scale
  • M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
  • Excellent SQL and Excel skills and experience with at least one scripting language (Python preferred)
  • Experience with Hive, Spark, and other big data tools a plus
  • Great communication skills, self-driven, organized, able to multitask and be a team player
  • Ability to understand and prioritize business goals and strategies
  • Balance attention to detail with swift execution
  • Enthusiasm about Uber!

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.

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.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.