Analytical Lead, Online Food Delivery Advertisting

About the Role

Uber is the largest mobility and delivery platform in the world, with billions of insights from millions of users. Uber Advertising’s vision is to connect Uber’s platform users (eaters, riders, earners) with advertisers in meaningful ways. By leveraging Uber’s location-based and shopping data, and closed-loop attribution across Mobility and Delivery, we enable advertisers to engage consumers throughout the funnel — from awareness to purchase to loyalty.

The Measurement & Analytics Solutions team partners directly with enterprise advertisers and Uber Sales teams to translate complex data into actionable strategies, demonstrate incrementality, and maximize advertiser ROI across Uber Ads solutions. By combining first-party behavioral intent signals with sophisticated measurement frameworks, we serve as trusted advisors to help top brands unlock sustainable growth, optimize full-funnel media investments, and achieve their strategic business objectives.

Uber Advertising’s Measurement & Analytics Solutions team is looking for an analytical and strategic problem solver to collaborate tightly with Sales in order to deepen advertiser relationships, helping to achieve our revenue targets.

You will serve as a strategic extension of the Sales team, collaborating cross-functionally to harness quantitative and qualitative data to unlock breakthrough insights, spearhead business transformation, and accelerate advertiser growth across Uber Eats and Mobility surfaces.

What You'll Do

Partner with Sales and advertisers to understand customer objectives and provide proactive, full customer-lifecycle insights, turning performance data and audience insights into strategic recommendations for Uber’s highest-priority/ -revenue driving clients

Design client-specific measurement & analytics roadmaps that include audience and data collaboration strategies, controlled 1P/ 3P experiments and incrementality tests to validate advertiser hypotheses, prove ROI, and compel increased investment in Uber Ads

Deliver polished presentations and recommendations that frame complex analytics as clear business impact and ROI

Conduct regular and bespoke analyses and insights for some of the world's largest advertisers to drive growth across advertiser KPIs and help them grow their businesses with Uber

Exhibit deep analytical ability, and develop great expertise in Uber’s proprietary metrics, working to constantly evolve how we analyze and communicate data driven insights to our advertisers

Basic Qualifications

• 5+ years experience in data analytics, data science, measurement and insights, advertising, AdTech, consulting or similar industries
• Bachelor's degree, preferably in mathematics, statistics, economics, computer science, operational research or similar quantitative field
• Proficient in SQL

Preferred Qualifications

• Python expertise
• Working knowledge of applied statistics and modeling (hypothesis testing, regression, confidence intervals) used to measure campaign lift and ROI
• Knowledge of brand lift and attention driven measurement
• Experience designing and analyzing A/B tests and other controlled experiments

Experience presenting to executive audiences

Experience working with large OFD (online food delivery) customers in a digital advertising organization

Intermediate to advanced skills in data analysis (e.g. MS Excel / Google Sheets / Python), story-telling (e.g. providing actionable insights based on analysis), advanced data querying (e.g. SQL), leveraging data visualization tools (e.g., Looker, Google Data Studio, Tableau)

Experience with marketing / advertising measurement, analytics, and reporting within an advertising agency/consulting

Experience with online advertising, targeting and measurement systems and methodologies (ad servers, DSPs, DMPs, etc.)

Experience with 3rd party measurement studies (brand lift, sales lift, foot-traffic, etc.)

Experience with ROI, incrementality, and attribution modeling, and with building consultative, pre-sales analytics for advertisers

Experience with multivariate test design, causal inference, and advanced statistical or machine learning techniques

For Chicago, IL-based roles: The base salary range for this role is USD $122,000 per year - USD $135,000 per year.

For New York City, NY-based roles: The base salary range for this role is USD $135,000 per year - USD $150,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD $135,000 per year - USD $150,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.