Jobs
About The Role
We're looking for a proactive, self-driven candidate to support and grow our global paid marketing programs with the help of advanced bidding and data sharing expertise. This role requires someone who is not only analytically sharp but also takes ownership of their work, moves initiatives forward independently, and doesn't require heavy oversight to execute with excellence.
You'll be a key contributor to the development and optimization of SEM and Shopping bidding and optimizations across platforms like Google Ads and Microsoft Ads. Working cross-functionally with teams in analytics, and product you'll help ensure our digital strategy is aligned with business goals.
What You'll Do:
- Develop, execute, and refine automated and manual bidding strategies across Google Ads, Microsoft Ads, and other paid search platforms SEM + PLAs.
- Leverage smart bidding, portfolio strategies, and bid adjustments to maximize ROAS, CPA efficiency, or other KPIs.
- Continuously monitor auction insights, impression share, and CPC trends to maintain competitiveness.
- Implement and manage tracking pixels, tags, and data integrations (Google Tag Manager, Floodlight, GA4, Adobe Analytics, etc.).
- Collaborate with engineering and analytics teams to ensure data pipelines are accurate and shareable across platforms.
- Establish standardized data-sharing frameworks with stakeholders to drive transparency and unified performance measurement.
- Build dashboards and reporting systems (Excel, Looker Studio, Tableau, PowerBI) for real-time SEM insights.
- Deliver actionable insights and recommendations to leadership on spend allocation, funnel bottlenecks, and growth opportunities.
- Build scripts to automate manual tasks.
Basic Qualifications:
- Bachelor's Degree in Marketing or an allied field.
- 3+ years of hands-on SEM campaign management with a focus on bidding strategies and performance optimization.
Preferred Qualifications:
- Strong track record of improving funnel performance and driving measurable ROI.
- Advanced knowledge of conversion tracking setup (Google Tag Manager, GA4, Floodlight, etc.).
- Strong Excel/Sheets skills (pivot tables, advanced formulas, automation scripts preferred).
- Experience with SQL or data querying is a plus.
- Ability to analyze large datasets, identify trends, and translate findings into actionable insights.
- Strong understanding of attribution models (last-click, data-driven, multi-touch).
- Familiarity with A/B testing frameworks and statistical significance.
- Experience supporting global campaigns
- Demonstrated ability to manage projects and campaigns independently with minimal oversight.
- Proactive mindset with strong critical thinking and the ability to solve problems without waiting for direction.
- Highly organized with strong attention to detail, and a bias for action.
- Experience at a brand, in-house marketing team, or direct-to-consumer business is highly preferred.
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For New York, NY-based roles: The base salary range for this role is USD**$140,000 per year**
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USD**$155,500 per year**.
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For San Francisco, CA-based roles: The base salary range for this role is USD**$140,000 per year**
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USD**$155,500 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
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3.1
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2.3
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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
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$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
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System Design
Behavioral/STAR
Case Study
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