채용
Benefits & Perks
•Professional development budget
•Team events and activities
•Flexible work arrangements
•Parental leave
•Comprehensive health, dental, and vision insurance
•401(k) matching
•Learning
•Flexible Hours
•Parental Leave
•Healthcare
Required Skills
React
Node.js
Python
#Great Minds Don't Think Alike At Uber, we take pride in our diversity and working environment that sees you as more than just a person that can do the job, but a unique individual that can level up our organization with a perspective only you can offer. Uber provides a truly open culture that encourages all to voice their thoughts.
About the Role
The Ad Effectiveness team equips the Uber Advertising organization and our clients with a 360° view of critical decision-making dimensions, including how to measure campaign performance and provide recommendations for optimization. In this role, you will work within the ad measurement strategy organization to operationalize new measurement product development, partnerships, and capabilities that meet the needs of our customers.
Your Impact In Role
- Translate concepts, measurement solutions, and underlying statistical fundamentals of the ads efficacy and measurement ecosystem to the needs of advertisers across verticals
- Structure and conduct analyses to generate campaign effectiveness outcomes and recommendations
- Create and present compelling narratives to senior leadership at clients and at Uber
- You will track unaddressed advertiser requirements, identifying opportunities for new strategic initiatives
- This role reports into and will work in close collaboration with the Ad Measurement Strategy Lead.
The Experience You'll Bring
- Bachelor's degree in a quantitative or business field
- 3+ years of ads measurement experience within an advertising platform/publisher, media agency, advertiser, or research company
- Experience with third-party measurement providers such as Kantar, Circana, Happydemics, etc.
- A deep understanding of attribution modeling, market mix modeling, multi-variate testing, brand and conversion lift
- A strong understanding of the digital advertising and measurement ecosystem
- Experience with ads measurement for one or more of the following verticals: technology, retail, entertainment, restaurants, travel, CPG, telco, or finance
Preferred Qualifications
- Advanced degree in business, math, statistics, economics, or a related field
- Experience building and influencing client or partner relationships
- Experience with team or peer leadership and development
- Experience with any of the following: SQL,R, SPSS/STATA, Tableau
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
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
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