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Marketing Analytics Manager- Chewy Ads

Chewy

Marketing Analytics Manager- Chewy Ads

Chewy

Bellevue, WA

·

On-site

·

Full-time

·

1w ago

Compensation

$110,500 - $176,000

Benefits & Perks

Healthcare

401(k)

Equity

Unlimited PTO

Parental Leave

Pet Insurance

Healthcare

401k

Equity

Unlimited Pto

Parental Leave

Pet Insurance

Required Skills

SQL

Data analysis

Analytics

Dashboard building

Job Description:

Our Opportunity Chewy is looking for a Senior Product Analyst to join the Chewy Ads team. This role will partner closely with Product, Engineering, and Ad Operations to deliver analytics that inform business decisions, support product development, and improve performance across Chewy’s offsite advertising network.

The Senior Product Analyst will focus on translating business needs into actionable insights, building and maintaining high-quality dashboards, and supporting revenue-driving initiatives through strong analytical execution and deep understanding of the ads ecosystem. This role requires the ability to work independently on complex analyses while collaborating cross-functionally to influence outcomes through data. The ideal candidate brings a strong analytical foundation, experience in digital or performance marketing, and a passion for using data to improve products and business results.

What You’ll Do:

  • Support the development and execution of key analytics initiatives related to Chewy Ads offsite products and systems
  • Gather, analyze, and interpret data to generate insights that inform product and business decisions
  • Partner with Product, Engineering, and Ad Operations to shape analytics requirements and support product releases and operational processes
  • Drive yield optimization efforts across the Chewy Ads offsite network through data analysis and performance monitoring
  • Build, own, and maintain business and system dashboards that enable stakeholders to track performance and identify opportunities
  • Leverage domain knowledge of the ads ecosystem to identify and support revenue-generating features, experiments, and projects
  • Serve as a trusted analytics partner by answering complex questions requiring end-of-end understanding of data flows and system behavior
  • Communicate findings clearly to stakeholders at varying levels, providing data-backed recommendations

What You’ll Need:

  • Bachelor’s degree in a relevant field (e.g., Computer Science, Mathematics, Engineering,Finance, Economics, or similar)
  • 5–8 years of relevant analytics or data experience; ads, marketing, or ecommerce analytics preferred.
  • Strong proficiency in SQL and experience with analytics tools such as: Snowflake,Tableau,Airflow, Tableau Prep, and Office 365
  • Experience building dashboards and visualizations that support business decision-making
  • Ability to independently structure analytical problems and deliver clear, actionable insights
  • Solid understanding of digital advertising and performance marketing concepts
  • Strong collaboration skills and comfort working in a matrixed, cross-functional
    environment
  • Customer-first mindset and passion for improving end-to-end experience through data

Bonus Qualifications:

Experience with digital advertising platforms and ecommerce performance marketing (Search, Social, Display, DSPs)

The base salary range for this role is $110,500 - $176,000.-
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

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About Chewy

Chewy

Chewy

Public

A food database that provides personalized meal plans, food analytics, AI-based food discovery, and tracks fitness journey.

1-50

Employees

Chennai

Headquarters

$7.5B

Valuation

Reviews

2.9

25 reviews

Work Life Balance

2.1

Compensation

3.2

Culture

2.3

Career

3.1

Management

1.8

35%

Recommend to a Friend

Pros

Good pay and compensation

Career advancement opportunities

Regular raises and recognition

Cons

Poor management and leadership

Excessive work hours and workload

Lack of employee care and support

Salary Ranges

1,354 data points

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Director

Junior/L3 · Business Intelligence Engineer I

1 reports

$133,383

total / year

Base

$115,766

Stock

-

Bonus

-

$133,383

$133,383

Interview Experience

12 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 0%

Neutral 58%

Negative 42%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit