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Strategy & Planning Analyst, Uber Advertising

Uber

Strategy & Planning Analyst, Uber Advertising

Uber

Chicago, IL; San Francisco, CA

·

On-site

·

Full-time

·

Today

Uber Advertising is looking for a data-driven strategist to join our Strategy & Planning team. In this role, you will develop scalable data systems, define data standards, and build tools that power decision-making across the advertising organization. You will partner with cross-functional teams - from sales and operations to product and finance - to ensure our monthly and quarterly business reviews are grounded in accurate, accessible, and actionable data, and to deliver the insights and infrastructure that support the long-term growth and evolution of Uber's advertising business.

This role is ideal for someone who thrives at the intersection of analytics, business strategy, and data engineering, and who can translate complex datasets into impactful business insights and scalable solutions.

---- What the Candidate Will Do ----

1. Design and Build Data Products:

Create and maintain dashboards, reports, and analytical tools that support monthly and quarterly business reviews (MBRs/QBRs) as well as other critical operational workflows.
2. Drive Data Governance & Standards:

Establish and enforce data definitions, KPIs, and governance practices to ensure accuracy, consistency, and trust across the ad org.
3. Scale Data Infrastructure:

Partner with engineering and analytics teams to design systems that enable efficient data ingestion, transformation, and accessibility for the business.
4. Enhance Data Fluency:

Develop frameworks, documentation, and training to increase data literacy across the advertising organization.
5. Enable Strategic Planning:

Collaborate with strategy leaders to align data insights with business goals, investment decisions, and go-to-market strategies.
6. Automate and Streamline:

Identify and execute on opportunities to automate reporting and analysis workflows, freeing teams to focus on strategic decision-making.

---- Basic Qualifications ----

1. Bachelor's degree in Business, Data Science, Statistics, Economics, Computer Science, or a related field (or equivalent work experience).
2. 1+ years of experience in analytics, data science, data product management, or business strategy, ideally in a high-growth technology or advertising environment.
3. Proficiency in SQL and at least one data visualization tool (Looker, Tableau, Power BI, etc.).
4. Strong understanding of business KPIs and ability to translate business needs into technical requirements.

---- Preferred Qualifications ----

1. 2+ years of employment experience in consulting, strategy, operations, or analytics within high-growth or matrixed environments
2. Proficiency in Python or similar programming languages
3. Experience in advertising technology, media, or marketplace businesses.
4. Track record of building scalable, self-service data systems for non-technical stakeholders.
5. Excellent communication skills and the ability to influence cross-functional partners.
6. Strong project management skills with the ability to manage multiple priorities.
7. Experience with data modeling, ETL processes, and cloud-based data warehouses (e.g., Big Query, Snowflake).

  • For Chicago, IL-based roles: The base salary range for this role is USD**$95,500 per year**

  • USD**$106,250 per year**.

  • For New York, NY-based roles: The base salary range for this role is USD**$106,000 per year**

  • USD**$118,000 per year**.

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$106,000 per year**

  • USD**$118,000 per year**.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

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 fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.

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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

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Associate Product Manager

0 reports

$153,422

total per year

Base

-

Stock

-

Bonus

-

$130,409

$176,435

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