Sr. Associate, AI GTM Analytics & Insights

What the Candidate Will Do ----

1. Build predictive models and GTM frameworks - account scoring, forecasting, quota modeling, and Book Building that directly shape where sellers focus and how leadership allocates resources across a global sales org.
2. Own high-stakes analytical models - build and maintain outputs where accuracy matters because they directly influence how the business operates and how people are measured, pressure-testing assumptions and surfacing downstream impact before decisions are made.
3. Engineer automated data infrastructure - replace manual workflows with scalable SQL pipelines, Python-based automation, and ETL processes so the team scales without bottlenecks.
4. Deliver executive insights - produce deep-dive analyses and data products for MBRs, QBRs, and leadership reviews, translating complex data into clear narratives with actionable recommendations.
5. Multiply your impact with AI - leverage AI-native tools across your entire workflow to build custom apps, automate repetitive work, and move at startup speed within Uber.

---- Basic Qualifications ----

1. More than 4 years of experience in similar roles.
2. Strong Experience using AI coding tools (Cursor, Claude Code, Copilot, or similar) as a core part of your workflow.
3. Preferably experience with SQL and Python for querying, data transformation, automation, and analytical modeling.
4. Demonstrated analytical problem-solving ability-you break down ambiguous problems, think in tradeoffs, and calibrate your rigor to the stakes.

---- Preferred Qualifications ----

1. Experience in environments where your analytical output directly affects business operations and people outcomes-and an appreciation for the precision and tradeoff-thinking that responsibility requires.
2. Ability to build lightweight data applications (Streamlit, Flask, or similar) that move insights beyond static dashboards into interactive, self-serve products.
3. Strong cross-functional communication-you present options with pros, cons, and who bears the impact so leadership makes informed decisions, not just fast ones.
4. Background in data analytics, BizOps, consulting, RevOps, or analytics engineering. No specific years required-demonstrated ability and learning agility matter more than tenure.

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Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

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.