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JobsUber

Strategy & Analytics Manager (Consumer), Delivery - UK&I

Uber

Strategy & Analytics Manager (Consumer), Delivery - UK&I

Uber

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.

Contact & Location

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About Uber

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

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