About the Role

We are looking for a highly analytical, motivated, and technical Data Analyst to join our Ads Delivery Commercial Operations (DCO) team. This role is ideal for early-career talent with strong SQL, Python, and spreadsheet skills who are excited to build scalable systems, automate workflows, and turn large datasets into insights that guide decision-making for a 350+ seller organization and a multi-billion-dollar P&L.

In this role, you will build the analytical and operational foundation that powers our GTM engine—owning everything from forecasting and account prioritization models to data pipelines, reporting automation, and executive insights.

If you’re curious, proactive, and love solving complex problems with data, this is a rare opportunity to make a massive impact early in your career.

What You’ll Do:

• Build scalable, automated reporting and analytical solutions that enable faster, better decision-making across the GTM organization.
• Develop and maintain forecasting, pipeline analytics, and quota/Book Building models that influence planning cycles and resource allocation.
• Design and optimize account prioritization and account scoring frameworks to help sellers focus their efforts for maximum ROI.
• Build and maintain ETL workflows, SQL-based datasets, and Python-based automation to reduce manual work and increase operational efficiency.
• Ensure data governance and QA across all your models, dashboards, and pipelines.
• Identify, propose, and build automation opportunities that remove repetitive work and scale across the org.
• Deliver insights and analysis for leadership reviews, working directly with VPs and senior stakeholders.
• Partner cross-functionally with Sales, Marketing, Finance, Product, and RevOps to support annual and quarterly planning cycles.
• Drive projects end-to-end with extreme ownership, curiosity, and an 80/20 mindset (speed > perfection).

Basic Qualifications

• Bachelor’s Degree
• 3+ years of relevant experience
• Strong SQL skills, in addition to data modeling and general database understanding

Preferred Qualifications

• 4-6 years of relevant experience
• Ownership mentality — you run your work like a business
• Fast learner with a bias for action and a steep learning curve
• Salesforce experience is a plus (but not required)
• Python for data transformation, automation, and modeling
• Proactive and self-driven — you bring ideas, solutions, and automation opportunities
• Extremely analytical and structured thinking
• Comfortable working under pressure and handling occasional fire-drills
• Strong communication skills and comfort presenting to senior leadership
• Problem solver with curiosity and a builder mindset
• Embraces the 80/20 approach: optimize for speed and impact, not perfection

For New York, NY-based roles: The base salary range for this role is USD$131,000 per year - USD$145,500 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$131,000 per year - USD$145,500 per year.

For all US locations, 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.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.

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.