招聘
About the Role
The Pricing Analyst for Uber Advertising is a critical, highly analytical role responsible for defining and optimizing our global pricing strategy. This role owns the development and maintenance of all rate card pricing, requiring a deep understanding of market dynamics, competitive positioning, and cost models. The Analyst will constantly leverage large datasets to perform rigorous analysis, informing data-driven decisions on our complex pricing structures across all advertising products. Success requires translating granular data insights into clear, actionable pricing strategies that maximize revenue, drive adoption, and ensure competitive yet profitable positioning in the fast-paced advertising landscape.
- What You'll Do
- Own Rate Card Development: Design, model, and maintain the global rate card pricing structure for all Uber Advertising products, ensuring competitive and revenue-maximizing positioning**- Pricing & Yield Management Tooling:** Build sophisticated pricing metrics dashboards and yield management "air traffic control" tooling. Identify key metrics and triggers that will drive overall yield management functionality for the business**- Data-Driven Pricing Strategy:** Leverage advanced analytical techniques on large datasets (including impression volume, conversion rates, competitive pricing, and user behavior) to establish, test, and refine pricing hypotheses and models**- Maximize Revenue with Product:** Partner closely with Product Management teams from the earliest stages to define the optimal pricing mechanism (e.g., CPM, CPC, fixed fee) and price points that maximize ad revenue and product adoption**- Cross-Functional Collaboration:** Serve as the primary pricing liaison, working with Data Science to model demand elasticity and predictive inventory, and with Finance for margin and profitability analysis**- Provide Data Insights and Recommendations:** Regularly deliver clear, actionable data insights and strategic recommendations to leadership regarding pricing performance, potential risks, and opportunities for monetization optimization**- Manage Communication and Governance:** Manage all internal and external communications regarding pricing updates, policy changes, and strategic rationale across Sales, Marketing, and Operations teams**- Competitive Intelligence:** Continuously monitor the advertising landscape and competitor pricing strategies, analyzing impact and recommending proactive adjustments to maintain a strategic market advantage**- Support Deal Desk Function:** Provide subject matter expertise and modeling support to the Deal Desk or Sales teams on complex, non-standard deals and RFPs, ensuring compliance with established pricing floors and guardrails**- Process Optimization:** Develop and refine analytical tools and reporting frameworks to enhance the efficiency and accuracy of pricing decision-making and performance monitoring
- Basic Qualifications
- 4+ years of experience in a combination of Pricing Analytics, Data Science, or Data Analytics
- Advanced proficiency in SQL/Python/R is required for efficient data extraction, manipulation, and executing complex, high-volume analysis across advertising and transaction datasets
- Fluency in utilizing BI/Data Visualization tools (e.g., Tableau, Looker) is mandatory for effectively presenting complex analytical insights and recommendations to stakeholders
Preferred Qualifications:
-
2+ years experience in marketing or advertising industry
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Deep expertise in B2B pricing strategies, product bundling, and go-to-market principles
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Familiarity with Salesforce or similar CRM tools
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Familiarity with Order Management Systems
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Proven ability to partner with and influence senior leaders across Sales, Finance, Legal, and Product
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For New York, NY-based roles: The base salary range for this role is USD**$135,000 per year**
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USD**$150,000 per year**.
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
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
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Associate, Strategic Finance
2 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$121,900
$131,100
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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