Identity and Data Signals Analyst, Uber Advertising

Overview

About The Role Uber Advertising is building the most marketplace-centric ad platform in the world, and as an Identity and Data Signals Analyst for LatAm, you are at the heart of making our data meaningful. This isn’t about just pulling reports; it’s about navigating the complex, often messy world of 1st party data, PII integrations, and evolving privacy laws to build something that actually works for advertisers and users.

Working at Uber means solving hard problems in a high-stakes, fast-moving environment. You’ll need to take ownership of the LatAm audience taxonomy, stay adaptable as privacy regulations shift, and build with both urgency and care. The pace is fast, and the answers aren’t always in a playbook. If you are energized by technical ambiguity and motivated by seeing your data strategies drive real-world revenue, this is where you’ll grow.

What You’ll Do

• Build and Scale Solutions : Collaborate with measurement science, product, and engineering to build scalable 1st party audience activation and data integrations specifically tailored for the LatAm market.
• Navigate Technical Ambiguity : Solve messy, high-impact problems regarding audience segmentation and identity—often without a clear starting point—as you bridge the gap between raw data and ad-tech utility.
• Drive Data Monetization : Partner with sales teams to translate complex advertising objectives into technical data solutions, ensuring our data signals are both actionable and profitable.
• Own Privacy and Governance : Act as a gatekeeper for Uber's data privacy policies, ensuring every audience launch and PII-based integration meets strict legal requirements while maintaining technical documentation.
• Measure and Optimize : Track audience adoption and performance metrics, moving past the numbers to provide high-quality, actionable recommendations that unblock sales and improve campaign ROI.
• Influence Without Authority : Navigate tension and align stakeholders across sales, legal, and product teams to ensure our data architecture supports long-term growth even when priorities shift.

Basic Qualifications

Preferred Qualifications

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