About the Role

Uber Advertising's Measurement Science team is looking for an analytical and strategic problem solver to partner with Sales in order to improve the performance of advertisers on Uber,helping to achieve our revenue targets.

We see this role as a key member of our insight and analytics offering within the fast-growing, revenue-driving Uber Advertising division. You will collaborate closely with partners across multiple functions, including Sales, Strategy, Marketing, Product, Creative, and more to analyze quantitative and qualitative data, draw out useful insights, and improve our advertisers' performance on Uber Eats or Mobility (Uber Rides) surfaces.

Uber is the largest mobility and delivery platform in the world, with billions of insights from millions of users. Thereby, you will have access to our unique Uber unique data set, and be expected to translate it into high-quality, actionable insights that will improve the effectiveness of our advertiser's campaigns and unlock new business opportunities.

What You'll Do:

- Data insights and analysis - Manage post campaign reporting and insights for all advertisers across assigned book of business
- Deliver 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
- Advocate for country and regional needs - Establish deep understanding of the local needs and nuances by partnering with local Account Executives, Account Managers and Merchant Operations teams
- You'll be mapped to high-priority and high-revenue driving clients, delivering white-glove service

Basic Qualifications:

- 4+ years experience in data analytics, data science, measurement and insights, advertising, AdTech, consulting or similar industries
- Proficiency using SQL, Python or similar analytics program
- Bachelor's degree, preferably in mathematics, statistics, economics, computer science, operational research or similar quantitative field

Preferred Qualifications:

- 6+ years' experience in data analytics, data science, measurement and insights, advertising, AdTech, consulting or similar industries
- Experience working with large CPG 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.)
- Well-versed in advertising technology, including 3rd party ad-serving and tag management solutions and programmatic ad buying platform
- Experience with A/B and multivariate test design and implementation and statistical concepts

For Chicago, IL-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year.

For New York, 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. More details can be found at the following link [https://jobs.uber.com/en/benefits](https://jobs.uber.com/en/benefits).

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.