Measurement & Insights Analyst, Online Food Delivery
Uber
Measurement & Insights Analyst, Online Food DeliveryUber 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
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
Develop great expertise in Uber's proprietary metrics, working to constantly evolve how we analyze and communicate data driven insights to our advertisers
Establish deep understanding of the local needs and nuances by partnering with local Account Executives, Account Managers and Merchant Operations teams
Deliver white-glove service to high-priority and high-revenue driving clients
Basic Qualifications
3
- years experience in data analytics, data science, measurement and insights, advertising, AdTech, consulting or similar industries
Intermediate to advanced proficiency within SQL
Preferred Qualifications
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)
Well-versed in advertising technology, including 3rd party ad-serving and tag management solutions and programmatic ad buying platform
For Chicago, IL-based roles: The base salary range for this role is USD$102,000 per year
For New York, NY-based roles: The base salary range for this role is USD$113,000 per year
For San Francisco, CA-based roles: The base salary range for this role is USD$113,000 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.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, ancestry, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please let us know by completing this form.
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.





