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Business Intelligence Analyst I

Wilkes-Barre, Pennsylvania, United States of America

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Chewy

What you’ll work on

Full posting
  • Analyze fulfillment and operational data to explain performance trends and gaps

  • Write and maintain SQL queries and analysis-ready datasets for reporting

  • Build and maintain dashboards and reports in Tableau or similar tools

  • Validate data and reconcile results across source systems and reports

  • Support weekly and monthly business reviews and measure experiment results

From the employer’s posting
Analyze fulfillment and operational data to explain performance trends, identify gaps and opportunities
Write and maintain SQL queries and analysis-ready datasets for recurring reporting, ad hoc requests
Build, update, and maintain dashboards and reports in Tableau or comparable business intelligence tools
Validate data and reconcile results across source systems and reports
Support weekly and monthly business reviews, operational experiments, and improvement initiatives

What you’ll bring

All qualifications

Core experience

  • Experience analyzing data and explaining what the results mean through coursework, internships, work experience, or independent projects.
  • Experience with fulfillment, supply chain, logistics, retail operations, or another large process-driven network.
  • Familiarity with Tableau, Power BI, or another visualization tool, with an understanding of how to present operational information clearly.
  • Familiarity with dbt or another governed SQL transformation framework.
  • Ability to organize work, follow established processes, ask clear questions, and raise blockers when requirements or data are unclear.
  • Python or R experience for analysis, automation, statistical modeling, or data validation.
Qualification wording
Experience analyzing data and explaining what the results mean through coursework, internships, work experience, or independent projects.
Experience with fulfillment, supply chain, logistics, retail operations, or another large process-driven network.
Familiarity with Tableau, Power BI, or another visualization tool, with an understanding of how to present operational information clearly.
Familiarity with dbt or another governed SQL transformation framework.
Ability to organize work, follow established processes, ask clear questions, and raise blockers when requirements or data are unclear.
Python or R experience for analysis, automation, statistical modeling, or data validation.

Tools in this posting

  • Python
  • R
  • SQL
  • dbt
  • Power BI
  • Tableau
Source — Tool mentions in context
- Familiarity with dbt or another governed SQL transformation framework. - Python or R experience for analysis, automation, statistical modeling, or data validation. - Experience supporting operational experiments, forecasting, capacity planning, labor planning, or continuous improvement initiatives.
- Analyze fulfillment and operational data to explain performance trends, identify gaps and opportunities, and support day-to-day decision-making across the Core Fulfillment network. - Write and maintain SQL queries and analysis-ready datasets for recurring reporting, ad hoc requests, and defined operational questions, following established metric definitions and quality standards. - Build, update, and maintain dashboards and reports in Tableau or comparable business intelligence tools so operators and leaders can monitor performance and investigate results.
- Up to 2 years of relevant experience through full-time work, internships, co-ops, academic projects, or comparable applied experience in business intelligence, data analytics, operations analytics, or a related field. - Foundational SQL skills, including filtering, aggregation, joins, common table expressions, and checking results for accuracy. - Experience analyzing data and explaining what the results mean through coursework, internships, work experience, or independent projects.
- Experience with fulfillment, supply chain, logistics, retail operations, or another large process-driven network. - Familiarity with dbt or another governed SQL transformation framework. - Python or R experience for analysis, automation, statistical modeling, or data validation.
- Experience analyzing data and explaining what the results mean through coursework, internships, work experience, or independent projects. - Familiarity with Tableau, Power BI, or another visualization tool, with an understanding of how to present operational information clearly. - Working knowledge of spreadsheets for analysis, validation, and communicating results.
- Write and maintain SQL queries and analysis-ready datasets for recurring reporting, ad hoc requests, and defined operational questions, following established metric definitions and quality standards. - Build, update, and maintain dashboards and reports in Tableau or comparable business intelligence tools so operators and leaders can monitor performance and investigate results. - Partner with Operations, Operations Support, Analytics, and Technology teams to gather requirements, understand workflows, document business logic, and confirm that deliverables address the intended decision or need.

Posting record

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Actively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier listing.

Status in our records
Live
First seen by us
Oct 13, 2026 · 9 days ago
Recorded sightings
26
Last seen by us
Oct 22, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Job Description:

Our Opportunity

Chewy Operations Teams relies on timely, trusted data to deliver reliable customer experiences across a large and complex fulfillment network. We are looking for a Business Intelligence Analyst I to develop reporting, analysis, insights, and visualizations that help operators and leaders understand performance, identify opportunities, and take action.


What You'll Do
  • Analyze fulfillment and operational data to explain performance trends, identify gaps and opportunities, and support day-to-day decision-making across the Core Fulfillment network.
  • Write and maintain SQL queries and analysis-ready datasets for recurring reporting, ad hoc requests, and defined operational questions, following established metric definitions and quality standards.
  • Build, update, and maintain dashboards and reports in Tableau or comparable business intelligence tools so operators and leaders can monitor performance and investigate results.
  • Partner with Operations, Operations Support, Analytics, and Technology teams to gather requirements, understand workflows, document business logic, and confirm that deliverables address the intended decision or need.
  • Validate data and reconcile results across source systems and reports; document assumptions and escalate material gaps, inconsistencies, or unclear definitions.
  • Support weekly and monthly business reviews, operational experiments, and improvement initiatives by preparing accurate reporting and measuring results against agreed success criteria.
  • Document queries, dashboards, definitions, and analytical methods; participate in peer reviews and apply feedback to strengthen accuracy, clarity, and maintainability.
What You'll Need

 

  • A bachelor's degree in engineering, statistics, computer science, business with an analytics focus, or related field, or equivalent working experience.
  • Up to 2 years of relevant experience through full-time work, internships, co-ops, academic projects, or comparable applied experience in business intelligence, data analytics, operations analytics, or a related field.
  • Foundational SQL skills, including filtering, aggregation, joins, common table expressions, and checking results for accuracy.
  • Experience analyzing data and explaining what the results mean through coursework, internships, work experience, or independent projects.
  • Familiarity with Tableau, Power BI, or another visualization tool, with an understanding of how to present operational information clearly.
  • Working knowledge of spreadsheets for analysis, validation, and communicating results.
  • Ability to organize work, follow established processes, ask clear questions, and raise blockers when requirements or data are unclear.
  • Clear written and verbal communication skills, including the ability to summarize findings for business partners.
  • Interest in learning fulfillment operations, supply chain processes, and the systems and metrics used to manage a large operational network.
  • Collaborative mindset and willingness to receive feedback, build new technical skills, and contribute to shared team standards.

Bonus

  • Experience with fulfillment, supply chain, logistics, retail operations, or another large process-driven network.
  • Familiarity with dbt or another governed SQL transformation framework.
  • Python or R experience for analysis, automation, statistical modeling, or data validation.
  • Experience supporting operational experiments, forecasting, capacity planning, labor planning, or continuous improvement initiatives.

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.

Source details

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Source notes

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Pay

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Location & working pattern

Wilkes-Barre, Pennsylvania, United States of America

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Experience supporting operational experiments, forecasting, capacity planning, labor planning, or continuous improvement initiatives. 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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