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Benefits & Perks
•Healthcare
Required Skills
HubSpot
Google Analytics
Salesforce
About the Role
As a Marketing Intelligence Manager, you will lead qualitative and quantitative market research to inform Uber's business, policy, marketing and product strategy. Your primary responsibilities will include designing a research agenda to understand key facets driving reputation and consumer/earner experience globally (particularly outside of the US), and synthesizing your findings to provide strategic guidance to cross-functional teams.
As part of a research and science organization reporting into the Chief Economist, your roadmap will include collaboration on research questions with data scientists, economists, and other market researchers.
To excel in this role, you will need to proactively identify hot topics that are in need of research, balance multiple stakeholders in designing research objectives, and socialize your insights to influence decision making at the highest levels.
You may be a good fit for this position if you have experience conducting political opinion research, economics research, UX research, or market research with a fast-paced tech company, especially in the gig economy space.
What You'll Do
Responsibilities
- Lead strategic research to understand business, regulatory and political threats, risks and opportunities around the world, particularly outside of the US - including cross-cutting issues that transcend business lines (e.g. earners, sustainability, reputation).
- Partner with cross-functional teams to translate internal business and policy objectives into a research agenda.
- See around corners to anticipate upcoming policy issues, and leverage polling among the general population, Uber customers, and policy elites to proactively develop Uber's policy positions.
- Independently design research objectives to inform strategy on business, marketing, and policy issues, including hiring polling firms and managing external research vendors, for both public-facing and internal-facing use. Balance quick-turn and ongoing survey research with focus groups, message testing, and novel approaches of your own design.
- Use insights to influence product roadmaps and business strategy. Synthesize themes from the research you conduct into actionable recommendations for executives and cross-functional teams.
What You'll Need
- Experience with both qualitative and quantitative market research / opinion research methodologies and analysis
- Strong communication and prioritization skills, and the ability to synthesize and distill information from multiple sources
- Fluent in English
Bonus Points If
- Expertise in ridesharing or marketplace gig economy platforms
- Experience with market research in multiple countries/regions
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%
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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
-
$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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