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Analyst - Pricing Analytics

Lowe's

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Location
Mooresville, NC (SSC) 1999, United States of America
Workplace
Onsite
Type
Full-time
Experience
2+ years
Source
Workday

Description

Do your Best Work in Mooresville

This position is based at our headquarters in Mooresville, North Carolina. Our corporate office is a space where you can collaborate and do your best work. Take a walk, grab a bite (or a cup of coffee), work out or get a check-up – we invest in you so you can find your inspiration.

Your Impact

The primary purpose of this role is to provide pricing support across all product categories within the assigned business area. The Pricing Analyst will focus on managing day-to-day pricing activities in support of the senior pricing team, pricing managers, and merchant partners. Key responsibilities may include developing pricing scenarios, generating reports, and executing price updates in response to business needs and competitive market conditions. The Pricing Analyst will collaborate with the broader pricing team to ensure pricing recommendations are implemented accurately and on time.

What You Will Do

  • Deliver recommendations that support team pricing-related sales and margin objectives using GCP, Python, Tableau, and similar analytics tools, aligned to the Pricing Program
  • Support the team in implementing Lowe’s pricing strategies through pricing analysis, scenario development, reporting, and price-update execution.
  • Conduct quality checks and validation of pricing scenarios, price updates, and reporting outputs to ensure accuracy, consistency, and adherence to established pricing governance.
  • Partner with Merchandising, Finance, and other cross-functional stakeholders to support timely resolution of pricing-related inquiries, exceptions, and execution issues.
  • Responsible for maintaining relationships, communicating effectively, and building cross functional partnerships within P&P
  • Ensure that utilization of all available tools, data, and insights to deliver the best possible of service and results to their respective partners
  • Share best practices across the team. Identifies largest areas of repetitive manual work and raises to management team to look for automation opportunities.


Minimum Qualifications

  • Bachelor’s degree Business Information Technology, finance, Data Analytics or related field or equivalent years of experience in lieu of education requirement, if applicable
  • 3 years relevant experience (pricing, merchandising, finance or related field focused on retail analytics)
  • 2 years corporate retail pricing, promotions or competitive intelligence analytics or strategy experience
  • 2 year experience using standard analytics tools (MS Excel, Access) to develop data driven recommendations to identify opportunities to improve business performance
  • 1 year experience using SQL and Tableau or other similar data visualization platforms


Preferred Skills/Education

  • 1 year experience in Home Improvement Retail or Experience working in an omnichannel environment
  • 1 year experience developing processes and procedures to support business objectives
  • 1 year experience in retail pricing
  • Familiarity with machine learning, data science and advanced analytical methodologies
  • certification in SQL, GCP, TABLEAU, Python or other similar data analytic tools

About Lowe’s

Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal year 2025 sales of more than $86 billion. Lowe’s employs approximately 300,000 associates and operates over 1,750 home improvement stores, 540 branches and 120 distribution centers. Lowe’s is a core value S&P 500 equity stock and a dividend aristocrat. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.  

Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

Skills

PythonGCPSQLMachine LearningData ScienceExcelTableauMerchandising

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