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. Strong Experience using AI coding tools (Cursor, Claude Code, Copilot, or similar) as a core part of your workflow.
2. Preferably experience with SQL and Python for querying, data transformation, automation, and analytical modeling.
3. 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.

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 fuelds progress. What moves us, moves the world - let's move it forward, together.

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.

*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 accommodations@uber.com.