Data Analytics Specialist, Global Support Abuse

About the Team

This role is part of the Support Abuse Analytics and Insights team, which sits within a broader Global Planning, Strategy & Analytics team in Community Operations (CommOps).

CommOps is responsible for developing a world-class customer support organization that scales effectively, is reliable and consistent, and provides unmatched service to our global Uber community.

About the Role

The Support Abuse data analytics specialist will help in defining and monitoring key business metrics for the Global Support Abuse program, which has a mission of driving efficient, fair, and accurate resolution of refunds and appeasements requests by Uber users by ensuring that automated and manual policies are not abused. This analytics team will also be partnering with many Product / Data Science / Operational teams to tackle key support abuse goals. As a data analytics specialist for the team, you will help drive impact by being a subject matter expert of our data, as well as assisting the team in driving projects through a data perspective.

Your Impact in Role:

1. Build and maintain source of truth dashboards, queries, and self-service data tools to be leveraged by stakeholders for monitoring business performance and guiding decisions
2. Recommend and implement strategies to optimize queries, dashboards or analytic processes
3. Proactively analyze data, identify trends and generate meaningful recommendations to drive business goals within the Support Abuse domain
4. Performing impact analysis to assess the feasibility and effectiveness of programmatic or operational projects
5. 
   Occasionally train and mentor junior team members on analytic best practices

The Experience Youll Bring:

1. At least 2 years experience in data analytics
2. Strong analytics, SQL, and web query skills with ability to:
3. Select, clear and transform dataset
4. Write simple nested statements and queries for complex problems
5. Use Hive or Presto
6. Experience within Python or R, with the ability to:
7. Build self-operating dashboards
8. Work with third-party APIs (basics)
9. Use Pandas Library (skilled)
10. Strong stakeholder management and communication skills, with the ability to:
11. work with many business Stakeholders and tailor solutions to their needs

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12. explain complex technical details to non-technical business audience (excellent written and spoken English)
13. Proficiency with at least 1 data visualization tool (e.g. Tableau, Looker Studio, Excel / Google Sheets)

Preferred Qualifications:

1. Coding with best practices (optimized & reusable code, versioning, etc.)
2. Creating flows (ex.: Lucidchart)
3. Basic statistics knowledge, affinity with: experimental design and A/B Testing, Percentiles, distributions, regression analysis
4. Exposure to:Scrum process (e.g. Jira) and interpretation and preparation of technical documentation
5. Willingness to develop subject matter knowledge on Support Abuse and specific business processes to drive impactful analytic insights

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 lets move the world forward, together.

Offices continue to be central to collaboration and Ubers 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 .