Senior Consumer Search Analytics & Ops Lead

Uber; United States; On-site; USD 131,000 - 145,000; Full time

Benefits offered by this job

Bonus program

Equity

401(k)

Job summary

Uber’s Discovery team within Uber Eats is seeking a senior analytics professional to own search analytics end-to-end. You will write complex SQL on large datasets, build dashboards, and drive experiments that influence ranking and traffic allocation across restaurants and retail categories.

You’ll partner with Product, Data Science, Sales & Marketing, CRM, and regional Ops to translate data into actionable insights, shaping the product roadmap and operational decisions.

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 5+ years in analytics, BI, data analysis, or analytically-heavy operations.
• Advanced SQL proficiency; production-quality queries on large warehouses.
• Python or R for data manipulation and automation.
• Experience building dashboards and automated reporting for cross-functional stakeholders.
• Proven track record of using data to influence product decisions.

Responsibilities

• Own search analytics end-to-end with SQL on large datasets.
• Build analytical products: dashboards, automated reporting, monitoring tools.
• Translate data into product influence and roadmap recommendations.
• Collaborate with Product, Data Science, Marketing, CRM, and Ops teams.
• Manage multiple workstreams and track timelines in a fast-paced environment.
• Contribute to governance of shared discovery surfaces across restaurants, grocery, and retail.

Skills

SQL mastery

Python/R

Data analysis

Dashboards

Cross-functional collaboration

Experimentation

Excel/Sheets

Communication

Education

Bachelor's degree in a quantitative field

Tools

Hive/Presto

Job description

Uber’s Discovery team within Uber Eats is seeking a senior analytics professional to own search analytics end-to-end. You will write complex SQL on large datasets, build dashboards, and drive experiments that influence ranking and traffic allocation across restaurants and retail categories.

You’ll partner with Product, Data Science, Sales & Marketing, CRM, and regional Ops to translate data into actionable insights, shaping the product roadmap and operational decisions.