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Data & Analytics - Sales Operations Manager

Uber

Data & Analytics - Sales Operations Manager

Uber

Mexico City, Mexico

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Sales training

Base salary plus commission

President's Club

Uncapped earning potential

Required Skills

Salesforce

HubSpot

Outreach

About the Role

The Uber Eats Delivery Commercial Operations team is looking for an Analytics role in Lat Am to support the DCO Edge team to improve Commercial decisions based on data and develop sophisticated analysis. This role will analyze and build models to evaluate the economics, value, and opportunity costs of programs and potential partners to drive selection strategy and multiply sales headcount productivity.
This role sits at the intersection of strategy, data, and execution, acting as a key partner to Lat Am DCO Edge team, working closely with regional Commercial Operations, Sales, and Account Management teams to help shape the Delivery sales organization, future direction, and strategy.

What you'll do:

  1. Drive regional enablement and reporting: Localize global analytics, reporting, and planning initiatives to improve decision-making and ensure consistent adoption of global methodologies across Lat Am.
  2. Enhance data systems and automation: Maintain and develop SQL-based automations, dashboards, and tools to streamline workflows, improve accuracy, and reduce manual effort across Commercial Operations.
  3. Support strategic planning and segmentation: Partner with regional and global teams on BoB planning, segmentation, and headcount allocation initiatives to ensure accurate ownership and optimized coverage models.
  4. Deliver high-impact analyses and frameworks: Support LATAM Delivery Commercial Operations and LATAM Commercial teams with sophisticated analyses, scalable reporting, and data tools that enhance forecasting, quota setting, and sales productivity.

Basic Qualifications

  1. +5 years of experience in Operations, Business, Analytics, or related fields
  2. Strong data analysis, automations, and visualization skills - experience with Sheets, SQL, and Tableau is essential.
  3. Excellent communication skills, with the ability to collaborate across teams and influence stakeholders.
  4. Strong organizational skills, with the ability to prioritize multiple tasks and manage timelines across teams (Asana and/or JIRA).
  5. Strategic thinking with a "roll-up-your-sleeves" mentality - ready to dive into details when needed.
  6. Fluency in English and Spanish.

Preferred Qualifications

  1. +5 years of experience in Commercial Operations, Strategy & Planning, Business Analytics, or related fields such as:.
  2. Ads, CPGs, and marketing products
  3. Financial planning
  4. Pricing and revenue management.
  5. Knowledge of CRM platforms (e.g., Salesforce), Spark, Python, R, AppScripts, and ETL processes is a plus.
  6. Knowledge and proven experience in implementing AI-driven solutions is a plus

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

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

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