Senior Analytics Lead, Search & Discovery Ops

Uber; New York (NY); On-site; USD 131,000 - 145,000; Full time

Benefits offered by this job

Annual bonus

Equity

401(k) plan

Healthcare benefits

Job summary

Uber is seeking an experienced analytics professional for the Discovery team within Uber Eats. You will dive deep into data, write complex SQL, and run experiments to shape search ranking and cross-LOB placement across Uber Eats.

You will partner with Product, Data Science, S&P, Marketing, CRM, and Ops to translate large datasets into actionable insights. The role emphasizes navigating ambiguity with data, influencing product decisions at scale, and delivering analytics that drive traffic

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 5+ years in analytics, BI, data analysis, or analytically-heavy ops roles.
• Advanced SQL: production-quality queries on large-scale data warehouses (Hive/Presto or equivalent).
• Hands-on Python or R for data manipulation, analysis, automation.

Responsibilities

• Own search analytics end-to-end: write complex SQL queries to analyze search ranking, cross-LOB placement, and conversion patterns.
• Build analytical products: dashboards, automated reporting, and monitoring tools for real-time visibility into search health and KPIs.
• Translate data into product influence: recommend roadmap changes based on insights, surface biases, quantify impact.

Skills

SQL proficiency

Python or R

Dashboards

Cross-functional collaboration

Data analysis

Presentation skills

Education

Bachelor's degree in quantitative field

Tools

Hive/Presto

SQL tools

Job description

Uber is seeking an experienced analytics professional for the Discovery team within Uber Eats. You will dive deep into data, write complex SQL, and run experiments to shape search ranking and cross-LOB placement across Uber Eats.

You will partner with Product, Data Science, S&P, Marketing, CRM, and Ops to translate large datasets into actionable insights. The role emphasizes navigating ambiguity with data, influencing product decisions at scale, and delivering analytics that drive traffic