Data Analyst - IC

Data Analyst - IC 2 at Bed Bath & Beyond

We Go Beyond:
At Bed Bath & Beyond, we believe that everyone should “Be You!” Our community embraces individuality, respect, and inclusive behaviors. We partner to create a culture where every employee can thrive.

• Work with Pricing Analytics leadership to design, prototype, develop and execute econometric models for data‑driven price optimization techniques.
• Take initiative, apply critical thinking, and drive creative solutions that add measurable business value.
• Rapidly learn and understand Bed Bath & Beyond’s business, data, and table structure with little direction.
• Lead and contribute to complex pricing projects with minimal oversight.
• Build, implement and maintain pricing algorithms on complex datasets.
• Design, run and monitor price tests to evaluate new hypotheses and strategic initiatives.
• Translate complex model results into clear business insights and recommendations.
• Develop and maintain pricing tools and Python scripts to automate pricing processes.
• Analyze business data to identify pricing opportunities that drive revenue and profitability.
• Validate, test, and iterate on models to ensure performance and accuracy.
• Evaluate alternative strategic approaches and recommend optimal pricing decisions.
• Collaborate cross‑functionally with marketing, product, and operations to implement solutions.
• Communicate insights clearly to senior managers and stakeholders.
• Perform additional duties as assigned.
• Follow legal policies as directed.

Must‑Have Qualifications

• Bachelor’s degree (or U.S. equivalent in Economics, Statistics, Business, Information Systems, Mathematics, Supply Chain Management, or related field) and 2+ years of post‑collegiate work experience conducting data analysis or a Ph.D. in a quantitative field.
• Experience with SQL to extract and manipulate large datasets.
• Experience with at least one modeling framework (e.g., Sci Kit Learn, SAS, R, MATLAB).
• Knowledge in statistics and mathematical concepts (e.g., hypothesis testing, regression).
• Experience creating and telling stories from data.
• Excellent communication skills and experience with cross‑team collaboration.
• Experience initiating and driving projects to completion with minimal guidance.
• Experience with visualization tools such as Tableau, Power BI, or Micro Strategy.
• Experience using Microsoft Suite Tools (Word, PowerPoint, Excel).

Nice‑to‑Have Qualifications

• Experience in the online retail industry.
• Experience building, implementing, and maintaining pricing algorithms on complex datasets.
• Experience conducting price tests and utilizing statistical methods to measure new pricing initiatives.
• Experience automating analyses and manual processes via SQL and Python scripts.
• Experience communicating data analysis findings to executive leadership.

Bachelor’s degree (or U.S. equivalent) in Economics, Statistics, Business, Information Systems, Mathematics, Supply Chain Management, or related field;
Ph.D. in a quantitative field preferred.

This position requires the incumbent to sit, stand, and perform general office functions. Lifting up to 25 pounds occasionally and frequent bending, stooping, and reaching may also be required.

We are committed to equal employment opportunity for all applicants and associates, ensuring no discrimination based on race, color, religion, gender, national origin, disability, pregnancy, veteran status, age, sexual orientation, gender identity, or any other protected characteristic.

• 401(k) with 6% match
• Flexible schedules
• Tuition reimbursement
• Leadership development and mentorship programs
• Employee resource groups (Latin
  
  X, Black Employee Network, LGBTQIA+, Women’s Network, Women In Tech)
• Additional benefits vary by position, tenure, location, and employee election