About the Role

The Digital Experience Analyst on the Community Operations (CommOps) Customer Experience Analytics (CXA) team will work closely with product, data infrastructure and business teams to design, build and maintain key metrics which drive the business and lead deep analytical analyses to derive insights. You will work with a variety of stakeholders across the Global Digital Experience program managers to Customer Obsession Data Science team to manage project intake, prioritization, and execution on key priorities for the team.

The ideal candidate is an expert at working with large data sets, has experience with data visualization and data management, is able to think outside the box and is passionate about cross collaboration across different teams. They will also have strong stakeholder management skills and the ability to build consensus by clearly communicating and presenting information.

What You'll Do

- Develop an in-depth understanding of CommOps' business performance and share strategic insights with senior leadership to influence decision making

- Translate ambiguous questions from CommOps' executives into data-driven recommendations

- Provide analytical thought leadership for big picture strategy projects; lead junior analysts to drive implementation

- Play a leadership role in developing and standardizing analytical tools; building executive level dashboards, frameworks and processes; to up-level and redefine analytically grounded decision making at all levels of the business

- Develop executive-level communications and presentations for Uber's senior leadership team

- Partner with CO team to assure that CommOps' business priorities are met when products are rolled out to the market

Basic Qualification

- 6-7 years experience working on data analytics

- BA/BS in Economics, Business, Engineering, Operations Research, STEM, or other quantitative focus (or equivalent work experience)

- Strong stakeholder management experience collaborating cross functionally

- Strong understanding of python, SQL and Tableau

- Experience building dashboards with Tableau and or Python

Preferred Qualification

- MBA, Master's degree in quantitative fields

- Experience/background on ETL management or analytics engineering

- Project management experience, owning projects end to end

- Able to translate stakeholders' business goals to technical projects, including working with large datasets (SQL), building data visualizations, and mining product and operational insights

- Experience working with customer support or customer insights data

- Comfort in working with ambiguity in a fast-paced environment

For San Francisco, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

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](https://forms.gle/aDWTk9k6xtMU25Y5A).

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.