Sr Analyst-Merchandising Operations Pro Business Optimization

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 Sr. Analyst, Merchandising Operations (PEA Optimization) role operates within Merchandising Operations, supporting the Pro Extended Aisle (PEA) business through advanced analytics, consulting, and performance optimization across vendors, categories, and items.

This role focuses on identifying opportunities, addressing complex business challenges, and partnering cross-functionally to improve Close Rate, Sales, and the overall Pro customer experience. With a data-first mindset, this role helps drive scalable and repeatable performance by improving both PEA performance as well as the way in which it operates.

This includes enabling better decision-making, reducing rework, and exposing opportunities earlier across the organization. Responsibilities span cross-functional areas including pricing, assortment, fulfillment, and systems, with a focus on identifying and driving performance improvements across the Pro Extended Aisle business.

What You Will Do

• Gather, analyze, and maintain data to support reporting, business insights, and decision-making
• Develop and manage core datasets, ensuring data accuracy, quality, and usability across systems
• Conduct advanced data analysis, interpretation, and storytelling to identify performance trends, gaps, and opportunities
• Utilize cloud-based data tables, Excel, and programming languages such as SQL, Python, or R to analyze data and generate insights
• Use analytics, customer feedback, and business input to drive continuous improvement initiatives
• Identify root causes of issues and partner with stakeholders to drive resolution
• Investigate and address complex business challenges beyond day-to-day operations
• Translate data into actionable recommendations that improve Close Rate, Sales, and customer experience
• Identify opportunities to improve business processes, operational efficiency, and performance outcomes
• Design and support scalable, data-driven solutions aligned to business needs
• Build strong relationships and collaborate with Merchandising, Pricing, Supply Chain, Field teams, and other stakeholders
• Establish and maintain trust and credibility with leaders, partners, and team members
• Act as a trusted advisor by providing data-backed recommendations and aligning on business priorities
• Manage individual projects and workstreams, including timelines, deliverables, and stakeholder alignment
• Partner with merchants and vendors on complex or strategic opportunities, including resolution of operational and performance-related issues
• Ensure vendor and item-level considerations are addressed to support business performance • Create usage standards, guidelines, and documentation to support data governance and business integration
• Serve as a subject matter expert for merchandising systems, data integration, and tools
• Support testing, implementation, and ongoing optimization of technology solutions
• Ensure systems support efficiency, scalability, and business continuity
• Develop and deliver training materials, documentation, and best practices
• Communicate insights, challenges, and recommendations clearly to stakeholders and leadership

Required Qualifications:

• Bachelor’s Degree in Business, Accounting, Finance, Economics, or related field
• 4+ years of relevant experience in analytics, business operations, or data-driven roles
• Advanced analytical skills, including experience working with large datasets and translating data into actionable business insights
• Strong problem-solving skills, including ability to identify root causes and develop data-driven recommendations
• Experience working in ambiguous environments and independently structuring and solving loosely defined problems
• Understanding of key business performance metrics (e.g., sales, margin, conversion) and how to apply them to drive decisions
• Experience working cross-functionally and influencing stakeholders without direct authority
• Advanced proficiency in Excel
• Experience using programming languages such as SQL, Python, or R for data analysis
• Experience using business intelligence software (PowerBI, Tableau, etc.)

Preferred Qualifications:

• Advanced degree (MBA, Master’s in Data Science, Business Analytics, or related field)
• Advanced proficiency in programming languages such as SQL, Python, or R, including building scalable analyses or complex data transformations
• Experience in the home improvement industry and/or working with professional (Pro) customers or Pro-focused business models

Where You’ll Be

• Associates are required to relocate to the Charlotte/Mooresville, NC region to foster collaboration and support.
• The ideal candidate must be willing to work in the office at our Mooresville, NC, location, 5 days per week.
• Most business meetings are planned around the Eastern time zone

About Lowe’s

Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal 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. 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.