Overview
Uber Advertising is moving fast, and our Measurement Science team is at the heart of how we prove value to the world's biggest brands. This isn't about just pulling reports or polishing dashboards; it's about navigating massive, complex data sets to find the truth of what drives growth for our partners. You will sit at the intersection of Sales, Product, and Data Science, translating trillions of real-world data points into strategies that help advertisers succeed on Uber Eats and Mobility.
This role is for someone who thrives in ambiguity and isn't afraid to get their hands dirty with messy data to unblock a high-stakes partnership. You will be expected to move with urgency, challenge assumptions, and own the narrative of performance in a high-pressure, revenue-driving environment. If you are someone who stays curious, values grit, and wants to build a measurement playbook rather than just following one, this is where you'll grow.
What You'll Do
* Navigate and analyze trillions of unique data points from the Uber platform to identify exactly what moves the needle for our advertisers
* Build and deliver bespoke, high-impact analyses for global enterprise clients that translate complex metrics into clear, actionable business growth
* Partner closely with Sales and Account Management to bridge the gap between technical data and real-world business outcomes, often under tight deadlines
* Solve messy measurement challenges where the path forward isn’t predefined, requiring you to innovate on our proprietary metrics and methodologies
* Advocate for regional and local nuances by collaborating cross-functionally to ensure our global products work for local market realities
* Own the end-to-end insights lifecycle for high-priority clients, from campaign design and A/B testing to post-campaign storytelling and strategy
* Lead the adoption of best practices in marketing science, helping our team and our partners stay ahead of shifting industry standards and technical debt
* Navigate internal complexity and tension across Product and Strategy teams to unblock measurement hurdles and drive revenue impact
Basic Qualifications
* Bachelor's degree in a quantitative field like mathematics, statistics, economics, or computer science
* Minimum 3 years of experience in data analytics, measurement, or data science within advertising or consulting
* Proficiency in SQL and Python for data manipulation and analysis
* Experience designing and analyzing A/B tests and applying statistical concepts to real-world business problems
Preferred Qualifications
* Experience managing data relationships for large enterprise customers in a fast-paced digital advertising environment
* Expertise in data visualization tools like Looker, Tableau, or Google Data Studio to simplify complex narratives
* Systems-thinking mindset with the ability to build robust frameworks for unique or ambiguous measurement challenges
* Familiarity with the AdTech ecosystem, including ad servers, DSPs, and 3rd party measurement studies like brand or sales lift
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