Jobs

Strategy & Analytics Manager (Consumer), Delivery - UK&I
London, United Kingdom
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Professional development budget
•Competitive salary and equity package
•401(k) matching
•Parental leave
•Team events and activities
•Learning
•Equity
•Parental Leave
Required Skills
Python
Node.js
JavaScript
About the Role
This role sits within the UK Delivery Growth organization and calls for a combination of deep analytical know-how, ability to surface actionable consumer insights, operational experience, as well as excellent communication skills. We are looking for someone who will play a leading role in defining our growth strategy for Uber Eats UK. For a tenacious truth-seeker, who is excited to understand what makes users loyal to Uber Eat's and drive action to reward our most valuable users - this is the role for you.
What the Candidate Will Do
- Influence UK strategy: Build insights to advocate for the consumer and guide local teams to implement a truly user-centric strategy for platform growth.
- Recommend the ideal budget allocation for multiple teams including Global CRM, Product, Performance Marketing, and or Membership.
- Provide insights to the Operations team, and the broader UKI Uber Eats Leadership team - around consumer insights, operational performance, demand generation metrics, budget deployment and ROI analysis.
- Topics will include drivers and barriers for users to become loyal to Uber Eats, Affordability, cross selling strategy, and selection strategy.
Essential Qualifications
- Bachelor or advanced degree in Business Analytics, Engineering, Mathematics, Marketing, Finance, Econometrics, or equivalent
- Minimum 2-4 years of relevant experience within a similar position, having managed senior stakeholders and demonstrated an ability to adapt to a fast-moving working environment
- Robust data analytics and technical skills:Advanced spreadsheet modeling and data visualization (e.g. dashboarding, Google Data Studio, Tableau)
- Intermediate/Advanced SQL: Build complex tables & queries. Minimum 2 years of experience using SQL for data analysis in a professional environment
- Intermediate Python: Minimum 1 year of experience using Python for data analysis and automation.
- First-hand experience with statistical analysis and experimentation techniques
- Clear Communicator: You are a clear and concise communicator with the ability to synthesize a lot of information quickly, highlight the important points, and turn that into action items.
- Explorer: The ability to self-start, investigate and get the required data, along with learning how to use new tools, will make you much more effective in this role. You enjoy being a self-starter with a proactive attitude.
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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