refresh

热门公司

Trending

招聘

JobsUber

Vertical Insights Partner: US/C, Measurement Science, Ads

Uber

Vertical Insights Partner: US/C, Measurement Science, Ads

Uber

Toronto, Canada

·

On-site

·

Full-time

·

1mo ago

Compensation

$88,000 - $88,000

Benefits & Perks

Generous paid time off and holidays

Parental leave

Professional development budget

401(k) matching

Flexible work arrangements

Parental Leave

Learning

Flexible Hours

Required Skills

Python

JavaScript

PostgreSQL

About the Role

Uber Advertising is seeking a strategic, commercially-minded Vertical Insights Partner for the US & Canada region. You will focus on using data to answer the "Why Uber?" question for our prospective clients.
You will be the hands-on expert who mines our massive first-party database and integrates third-party research to build the narratives that open doors and close deals. You will act as the bridge between raw data and revenue, equipping the US & Canada Sales team with the audience profiles, vertical trends, and consumer behaviors they need to challenge the status quo and win investment.

  • What You'll Do:

Pre-Sales Narrative & Storytelling:

  • Drive the Pitch: You are responsible for equipping the sales team with data-backed stories that highlight the unique value of Uber's audience compared to competitors

  • Platform Details: Create detailed platform narratives using internal data to show clients exactly how our platforms influence our consumers' day to day lives

  • Visual Storytelling: Translate complex datasets into clear, compelling slides and narratives that Sales can immediately deploy in client meetings

  • Data Execution (1st & 3rd Party)

  • Hands-on SQL Analysis: Leverage solid SQL proficiency to independently query first-party databases. You won't rely on others to pull data; you will hunt for the insights yourself to validate hypotheses

  • Integrated Research: Blend survey-based consumer sentiment (3rd party/primary research) with hard behavioral data (1st party) to uncover the "why" and "what" of consumer behavior

  • Market Trends: Identify market trends in US & Canada to help position Uber Ads as a thought leader, identifying strategic gaps in the market and building research plans to address them

  • Strategic Support & Collaboration

  • Sales Consultation: Act as a go-to consultant for the US & Canada Sales leadership, ensuring research initiatives align with regional go-to-market strategies

  • Global Alignment: Collaborate with Scaled Research Team Leads to leverage global frameworks while customizing narratives to address the specific nuances and cultural context of the US & Canada market

  • Innovation: Leverage AI tools to scale insight generation and automate the pattern recognition process

Basic Qualifications:

  • 3+ years' experience in consumer insights, market research, or data analytics, specifically within digital media or advertising
  • SQL Proficiency: You must be comfortable writing queries to extract behavioral data to supplement research findings
  • Primary Research Experience: Experience designing or analyzing survey questionnaires and 3rd party research data
  • Pre-Sales/Pitch Experience: A portfolio or track record of creating data-driven narratives that were used to influence stakeholders or clients
  • Bachelor's degree

Preferred Qualifications:

  • 4+ years' experience in a hybrid role blending quantitative research (surveys) and data analytics (behavioral)
  • Commercial Acumen: Experience working directly with Sales or Marketing leadership in a high-growth tech or media company
  • Vertical Expertise: Experience analyzing specific verticals (e.g., Travel, Auto, Entertainment) to find unique consumer angles
  • Tooling: Experience with AI tools for content creation or data analysis

For Canada-based roles: Uber may use artificial intelligence (AI) tools to support parts of our recruiting process; however, Uber employees make the ultimate selection and hiring decisions.
This advertisement relates to a current, existing vacancy.

  • For Canada-based roles: The base salary range for this role is CAD**$88,000 per year**
  • CAD**$98,000 per year**.
    You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/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 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

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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