refresh

Trending companies

Trending companies

Jobs

JobsUber

Consumer Growth Manager

Uber

Consumer Growth Manager

Uber

Mexico City, Mexico

·

On-site

·

Full-time

·

3w ago

Required skills

Python

SQL

Excel

About the Role:

As a Consumer Growth Operations Manager, you will play a key role in bringing the Lat Am consumer strategy to life through strong execution. You will manage day-to-day operations, conduct analyses to uncover growth opportunities, and help build the processes and systems that enable consistent, high-quality delivery across the sub-region.

This is a highly analytical and hands-on role, well suited for someone who enjoys working with data, managing complex operational workflows, and driving impact through structured execution.

  • What the Candidate Will Do

  • Design and execute growth initiatives to improve user acquisition, retention, and engagement across markets.

  • Analyze key performance metrics to identify trends, challenges, and opportunities that inform decision-making.

  • Collaborate cross-functionally to operationalize and track strategic plans, ensuring strong and consistent execution.

  • Manage and optimize promotional budgets, ensuring initiatives are efficient and aligned with business priorities.

  • Translate data into actionable recommendations and support senior stakeholders in driving continuous improvement.

  • Build dashboards, reports, and presentations to track performance, communicate insights, and guide strategic discussions.

  • Support experimentation and testing, including localized initiatives to improve conversion, retention, and engagement.

  • Basic Qualifications

  • At least 3 years of experience in consulting, investment banking, or a fast-paced, high-growth environment.

  • Professional proficiency in English and Spanish.

  • Strong analytical and critical thinking skills, with the ability to make data-informed decisions in complex situations.

  • Advanced Excel skills.

  • Ability to work effectively in fast-paced environments and adapt to shifting priorities and regional nuances.

Preferred Qualifications:

  • Experience with SQL and/or Python.

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.

Total Views

0

Apply Clicks

0

Weekly mock applicants

0

Bookmarks

0

About Uber

Uber

Uber

Public

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

3.7

10 reviews

Work-life balance

3.2

Compensation

4.0

Culture

4.1

Career

3.4

Management

2.8

68%

Recommend to a friend

Pros

Good compensation and pay

Flexible hours and schedule

Great team culture and colleagues

Cons

Long hours and tight deadlines

High pressure and stressful environment

Poor management and lack of support

Salary Ranges

15,354 data points

Mid/L4

Mid/L4 · Data Analyst

3 reports

$209,300

total per 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