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Uber Advertising's Measurement Science team is looking for an analytical and strategic problem solver to partner with Sales and help our advertisers achieve their revenue targets. This isn’t just about crunching numbers; it’s about navigating the massive, often messy, scale of the world’s largest mobility and delivery platform to find what actually moves the needle. As a key member of our LATAM insights offering, you will translate billions of data points into high-quality, actionable stories. The pace here is fast, and the environment is frequently ambiguous. You’ll thrive if you have the grit to dig into proprietary metrics, the adaptability to shift priorities when market dynamics change, and the ownership to deliver "white-glove" service to our highest-priority global clients. This role is for someone who finds energy in complexity and wants to build the future of advertising measurement from the ground up.
Job Responsibility:
Analyze and Insight-Drive: Manage end-to-end post-campaign reporting and insights for a dedicated book of business, ensuring advertisers understand exactly how their spend translates to impact
Partner with Giants: Deliver bespoke, deep-dive analyzes for some of the world’s largest advertisers, helping them navigate Uber’s ecosystem to grow their business
Evolve the Playbook: Deeply master Uber’s proprietary metrics and constantly evolve how we communicate data-driven insights to stay ahead of industry standards
Advocate for the Region: Establish a deep understanding of local nuances by partnering cross-functionally with Account Executives, Merchant Operations, and Strategy teams in Mexico City and across LATAM
Own the Pressure: Map to high-revenue driving clients, delivering white-glove service while managing the high stakes and rapid turnaround times inherent in digital advertising
Navigate the Tech Stack: Leverage SQL, Python, and advanced visualization tools to unblock data bottlenecks and provide clarity to internal and external stakeholders
Requirements:
Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or Operational Research)
5+ years of experience in data analytics, measurement and insights, advertising, or AdTech
Proficiency in using SQL and Python (or similar analytics programming) for data querying and analysis
Nice to have:
Experience with online advertising measurement methodologies, including ad servers, DSPs, DMPs, and programmatic buying platforms
Experience designing and implementing A/B and multivariate tests and applying statistical concepts to real-world business problems
Proficiency in data visualization tools like Looker, Google Data Studio, or Tableau to communicate complex insights
Strong storytelling skills with a track record of providing actionable insights to large enterprise customers in a digital advertising organization