Jobs
About the Role:
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.
What You'll Do:
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.**
Basic Qualifications:
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Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or Operational Research).
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5+ years of experience in data analytics, measurement and insights, advertising, or Ad Tech.
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Proficiency in using SQL and Python (or similar analytics programming) for data querying and analysis.
Preferred Qualifications:
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Experience with online advertising measurement methodologies, including ad servers, DSPs, DMPs, and programmatic buying platforms.
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Experience designing and implementing A/B and multivariate tests and applying statistical concepts to real-world business problems.
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Proficiency in data visualization tools like Looker, Google Data Studio, or Tableau to communicate complex insights.
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Strong storytelling skills with a track record of providing actionable insights to large enterprise customers in a digital advertising organization.
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 fuelds progress. What moves us, moves the world - let's move it forward, together.
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.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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