Marketplace Pricing Analyst

Bed Bath & Beyond; Utah; On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

401k with 6% match

Flexible schedules

Tuition reimbursement & leadership/mer

Mentorship program

Employee Resource Groups

And More

Job summary

Bed Bath & Beyond is seeking a Pricing Analyst to partner with the Director of Pricing on econometric models and price optimization. You will build and maintain pricing algorithms, run tests, and provide data-driven insights to drive profit and sales across complex datasets.

The role requires SQL proficiency, statistics knowledge, and experience with modeling frameworks; strong communication to leadership is essential. Hybrid work options and strong benefits are offered.

Qualifications

• Bachelor's degree (or U.S. equivalent) in Economics, Statistics, Business, Information Systems, Mathematics, Supply Chain Management, or related field.
• Experience using SQL to extract and manipulate large datasets.
• Experience with 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 narratives from data and telling data-driven stories.

Responsibilities

• Work with the Director of Pricing to design, prototype, develop and execute econometric models for data driven price optimization techniques.
• Act as a self-starter by employing critical thinking skills 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 new strategic initiatives.
• Design, develop and maintain pricing tools as well as Python scripts to improve/automate pricing processes.
• Analyze business data and identify pricing opportunities to increase profit and sales.
• Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
• Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
• Collaborate with other teams in the organization to ensure successful implementation of chosen problem 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.

Skills

SQL

Data storytelling

Project execution

MS Office

Statistics concepts

Education

Bachelor's degree in Economics/Statistics/Math/IS or related

Tools

SciKit-Learn

TensorFlow

SAS

R

MATLAB

Job description

We Go Beyond
At Bed Bath & Beyond, we believe that everyone should “Be You!”. Bed Bath & Beyond is a community that upholds a culture of understanding, acceptance, and respect. We believe a person's individuality, traits, beliefs, and characteristics should be valued and embraced. Living by this ethos is essential to the success of our business. Our goal is to foster a more inclusive environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.

We Go Beyond
At Bed Bath & Beyond, we believe that everyone should “Be You!”. Bed Bath & Beyond is a community that upholds a culture of understanding, acceptance, and respect. We believe a person's individuality, traits, beliefs, and characteristics should be valued and embraced. Living by this ethos is essential to the success of our business. Our goal is to foster a more inclusive environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.
The Pricing Analyst works in conjunction with the Director of Pricing to handle the responsibilities of pricing analytics and price optimization through econometric models and pricing algorithms.

Job Responsibilities

• Work with the Director of Pricing to design, prototype, develop and execute econometric models for data driven price optimization techniques.
• Act as a self-starter by employing critical thinking skills 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 new strategic initiatives.
• Design, develop and maintain pricing tools as well as Python scripts to improve/automate pricing processes.
• Analyze business data and identify pricing opportunities to increase profit and sales.
• Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
• Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
• Collaborate with other teams in the organization to ensure successful implementation of chosen problem 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.

Job Requirements

Required Experience

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

Who We Are

We're a passionate group of collaborative problem solvers and creative innovators, working on cutting-edge technology. From building award-winning retail applications (with amazing AR functionality) to creating leading blockchain and machine learning technologies, each of us embodies a unique value and contributes a diverse perspective to the team.

What We Offer

• 401k (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)
• And More
• Benefits vary based on position, tenure, location, and employee election

Physical Requirements

This position requires you to sit, stand and perform general office functions. You may also be required to lift up to 25 pounds occasionally. Bending, stooping and reaching are also frequently required.

Equal Employment Opportunity

It is our policy to provide equal employment opportunity for all applicants and associates. This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.
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