Senior Analytics Lead, Search & Discovery Ops

Uber Technologies Inc.; San Francisco (CA); On-site; USD 131,000 - 145,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber Technologies Inc. in San Francisco is seeking a data-driven analytics professional to own search analytics end-to-end and shape how users discover restaurants, grocery, and retail on Uber Eats.

You will write complex SQL, build dashboards, and run experiments that influence ranking and allocation decisions. You will partner with Product, Data Science, S&P, Marketing, CRM, and regional Ops to translate data into actionable recommendations, manage multiple workstreams, and contribute to

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Engineering, Computer Science, Mathematics) or equivalent practical experience.
• 5+ years of experience in analytics, business intelligence, data analysis, or analytically-heavy operations roles.
• Advanced SQL proficiency, write complex, production-quality queries against large-scale data warehouses (Hive/Presto or equivalent).
• Hands-on experience with Python or R for data manipulation, analysis, and automation.
• Experience building dashboards and automated reporting that serve cross-functional stakeholders.
• Demonstrated track record of using data to influence product or business decisions in a cross-functional environment.

Responsibilities

• Own search analytics end-to-end: Write complex SQL queries against large-scale datasets to analyze search ranking performance, cross-LOB store and item placement, and conversion patterns across categories.
• Build analytical products: Create and maintain dashboards, automated reporting, and monitoring tools that give Product, Ops, and Leadership real-time visibility into search health, ranking quality, and surface-level KPIs (conversion, GMV, engagement).
• Translate data into product influence: Synthesize operational and behavioral insights into clear recommendations that shape the search product roadmap, identifying ranking biases, surfacing gaps in cross-LOB allocation, and quantifying the impact of proposed changes.
• Collaborate cross-functionally: Work across Product, Data Science, S&P, Marketing, CRM, and regional Ops teams to ensure search strategy is grounded in data and aligned across stakeholders. Serve as the connective tissue between operational reality and product development.
• Manage programs and projects: Independently drive multiple workstreams from competitive search intelligence to new surface launches tracking details, managing timelines, and delivering in a fast-paced environment where priorities shift.
• Scale shared surface governance: Contribute to Share of Voice frameworks and traffic allocation governance across Restaurants, Grocery, and Retail on shared discovery surfaces.

Skills

Advanced SQL proficiency

Python or R

Dashboard development

Cross-functional influence

Data-driven decision making

Education

Bachelor's degree in a quantitative field

Tools

Hive/Presto

Excel/Google Sheets

Job description

Uber Technologies Inc. in San Francisco is seeking a data-driven analytics professional to own search analytics end-to-end and shape how users discover restaurants, grocery, and retail on Uber Eats.

You will write complex SQL, build dashboards, and run experiments that influence ranking and allocation decisions. You will partner with Product, Data Science, S&P, Marketing, CRM, and regional Ops to translate data into actionable recommendations, manage multiple workstreams, and contribute to