Marketplace Pricing Analyst

About the role

At Bed Bath & Beyond we uphold a culture of understanding, acceptance, and respect, and the Pricing Analyst partners with the Director of Pricing to drive data-driven price optimization through econometric models and pricing algorithms.

Responsibilities

• Design, prototype, develop, and execute econometric models for data-driven price optimization techniques.
• Employ critical thinking and creativity to add incremental value to the company.
• Work autonomously and participate in complex pricing projects.
• Build, implement, and maintain pricing algorithms on complex datasets.
• Design, run, and monitor price tests to evaluate new hypotheses and strategic initiatives.
• Design, develop, and maintain pricing tools as well as Python scripts to improve or automate pricing processes.
• Analyze business data and identify pricing opportunities to increase profit and sales.
• Perform validation and testing of models, reformulating as necessary.
• Study and analyze information about alternative courses of action to determine optimal outcomes.
• Collaborate with other teams to ensure successful implementation of chosen solutions.
• Collaborate with senior managers and decision makers to identify and solve a variety of problems.
• Communicate data analysis findings to leadership and other stakeholders.
• Perform other duties as required and assigned by manager and upper management.
• Follow legal policies as directed.

Requirements

• Bachelor’s degree (or U.S. equivalent) in Economics, Statistics, Business, Information Systems, Mathematics, Supply Chain Management, or a related field.
• Experience utilizing SQL to extract and manipulate large datasets.
• Experience utilizing at least one modeling framework (e.g., SciKit Learn, TensorFlow, SAS, R, MATLAB).
• Knowledge of statistics and mathematical concepts (e.g., hypothesis testing, regression).
• Experience creating and telling stories from data.
• Experience initiating and driving projects to completion with minimal guidance.
• Experience using Microsoft Suite tools (including Word, PowerPoint, and Excel).

Preferred Experience

• 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 the performance of new pricing initiatives.
• Experience automating analyses and manual processes via SQL and Python scripts.
• Experience designing, developing, and maintaining Python scripts to automate manual processes.
• Experience communicating data analysis findings to executive leadership.

Skills

• Experience utilizing SQL to extract and manipulate large datasets.
• Knowledge of statistics and mathematical concepts (e.g., hypothesis testing, regression).
• Experience creating and telling stories from data.
• Experience initiating and driving projects to completion with minimal guidance.
• Experience using Microsoft Suite tools (including Word, PowerPoint, and Excel).

Education

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

Who We Are

We are a collaborative group of problem solvers and innovators working on cutting-edge technology, from award-winning retail applications with AR functionality to leading blockchain and machine learning technologies.

Benefits

• 401(k) with 6% match
• Flexible schedules
• Tuition reimbursement
• Leadership development program
• Mentorship program
• Employee Resource Groups (LatinX, Black Employee Network, LGBTQIA+, Women’s Network, Women In Tech)

Physical Requirements

This position requires sitting, standing, and general office functions; occasional lifting up to 25 pounds; and frequent bending, stooping, and reaching.