Automation & Analytics Specialist
UberMexico City, MexicoPosted 5 March 2026
Job Description
Automation & Analytics Specialist
Department: Operations
Team: Operations
Location: Mexico City, Mexico
Type: Full-Time
### About the Role
At Uber Eats LatAm, our Automation & Advanced Analytics team is passionate about unlocking the power of data to solve real business problems. We focus on translating business needs into data science solutions, collaborating closely with teams across the region to drive impact on top-priority initiatives.
As an Operations Manager – Automation & Analytics, you’ll play a key role in building and optimizing the processes that power our three-sided marketplace. This is a hands-on role that blends technical expertise, problem-solving, and project leadership.
You’ll be part of the LatAm Central Operations team, working alongside regional, sub-regional, and local teams to lead and support cross-functional projects.
### What You’ll Do
\*Important: this is not a People Manager role.
- Design, implement, and scale automation solutions to streamline operations and drive efficiency.
- Use advanced analytics and business intelligence techniques to uncover insights, identify opportunities, and influence decision-making.
- Prioritize and manage high-impact projects from concept to delivery—coordinating with cross-functional stakeholders along the way.
- Identify and advocate for new product features that improve the experience for Eaters, Couriers, and Restaurants on our platform.
- Collaborate with Product and Engineering teams as an Operations partner, contributing to scalable and standardized processes across global regions.
- Maintain ongoing processes in the automation portfolio, ensuring transparency, reliability, and stakeholder trust.
### What You’ll Need
- A minimum of 3 years of experience in operations, analytics, strategy, or a related field—ideally in fast-paced or high-growth environments.
- Strong technical foundation: Proficiency in Python, SQL, and optimization techniques is essential.
- Professional-level English proficiency.
- A problem-solving mindset that combines data, business acumen, and structured thinking.
- A proactive
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