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Business Intelligence Engineer III

4 days ago Boston, MA

This job is no longer available.

Our Opportunity:

Chewy is seeking a Data Scientist to join our Site Analytics team and craft the future of our customer-facing experiences across Chewy.com and the Chewy mobile apps. In this high-impact role, you’ll apply your analytical expertise and business intuition to unlock insights from Chewy’s expansive e-commerce datasets—revealing how customers interact with our platform and driving data-informed improvements that improve the experience for millions of pet parents. As a strategic partner, you’ll work multi-functionally with Product, Engineering, UX, Marketing, Finance, and other teams, using data to influence decision-making at the highest levels. You’ll harness advanced analytical techniques and emerging AI workflows to deepen insights, accelerate discovery, and scale analysis. You’ll move beyond just presenting numbers—telling compelling, data-driven stories that guide product roadmaps ultimately making a large customer impact.

What You’ll Do:

  • Leverage advanced analytics techniques (customer journey analysis, feature importance, causal inference, forecasting, sentiment analysis, anomaly detection) —to uncover actionable insights into customer behavior.
  • Lead the development of scalable metric pipelines (ETL), enforce rigorous data quality standards, and build clear, compelling visualizations that communicate stories to partners.
  • Design, implement, and analyze A/B tests for high-impact product initiatives, translating results into strategic product recommendations.
  • Define and own key success metrics for your product area, continuously monitoring trends, diagnosing performance shifts, and driving decisions making!
  • Proactively identify and size opportunities to improve the customer experience, influencing product direction and multi-functional priorities!

 

Qualifications:

  • Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Economics, Computer Science) or related experience.
  • 3+ years of experience of data warehouse technical architecture, infrastructure, and ETL.
  • 3+ years of experience with visualization tools like Tableau, Looker, PowerBI, Plotly etc...
  • 3+ years of experience with data modeling in EMR, Snowflake, DataBricks, Google Cloud, and similar environments.
  • 3+ years of experience with A/B testing and/or causal inference methodologies, preferably within e-commerce environment
  • strong understanding of statistics and advanced analytical techniques
  • Advanced object-oriented programing in Python.
  • Advanced knowledge of SQL (complex querying and optimization).
  • Excellent written and verbal communication skills, with ability to convey complex ideas to non-technical customers.
  • Familiarity with using LLMs and AI Agents to automate data and analytical workflows.

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.

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. 

Base Salary Range
$131,500$211,000 USD

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 Customer Privacy Policy, please click here.  

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Client-provided location(s): Boston, MA, Bellevue, WA
Job ID: 7138529
Employment Type: OTHER
Posted: 2025-09-03T18:34:29

Perks and Benefits

  • Health and Wellness

    • FSA
    • HSA
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Mental Health Benefits
  • Parental Benefits

    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
    • Adoption Assistance Program
  • Work Flexibility

    • Remote Work Opportunities
    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Company Outings
    • Commuter Benefits Program
    • Pet-friendly Office
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Casual Dress
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Personal/Sick Days
    • Paid Holidays
    • Unlimited Paid Time Off
    • Paid Vacation
    • Leave of Absence
    • Summer Fridays
  • Financial and Retirement

    • Performance Bonus
    • 401(K) With Company Matching
    • 401(K)
    • Company Equity
    • Relocation Assistance
    • Financial Counseling
    • Stock Purchase Program
  • Professional Development

    • Promote From Within
    • Mentor Program
    • Lunch and Learns
    • Internship Program
    • Leadership Training Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Unconscious Bias Training