Senior Business Analyst – Store Operations AI & Innovation

Lowes • Mooresville, NC

12d • Onsite

About The Position

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.
The primary purpose of this role is to support the day-to-day operations of Lowe’s Workforce Management (WFM) programs. This position not only leads projects that impact store labor productivity, but also delivers analytics and insights to senior leadership. This includes all aspects of financial planning for a multi-billion-dollar expense, and supporting Store AI applications to ensure stores are staffed to provide great customer experiences across all stores.

Requirements

• Bachelor’s Degree in Operations Engineering, Management, Engineering, Business Analysis, or a related field or equivalent experience in lieu of degree
• 3 Years Experience related to workforce planning, data science, or data modeling. A Bachelor’s degree (or higher) will be considered in lieu of requisite experience

Nice To Haves

• Masters Degree in Operations Engineering, Management, Engineering, Business Analysis, or a related field equivalent experience in lieu of degree
• 2 Years Experience in an analytical role.
• 2 Years Experience using business intelligence and reporting tools (MicroStrategy, Business Objects, Cognos, Google Cloud Big Query, Teradata, etc.).
• 2 Years Experience using business analysis and data visualization tools (e.g. SQL, Tableau, Qlik, Power BI, etc.) to perform analysis .
• 1 Year Experience working on Agile project management teams.
• Experience designing and analyzing A/B tests or operational experiments to measure impact and drive data-informed decisions.
• Familiarity with retail business functions such as demand forecasting, store operations, or in-store analytics.
• Translate complex technical outputs from AI or computer vision models into clear business insights and recommendations.
• Experience using AI-enabled tools to improve work efficiency, support analysis, automate routine tasks, or enhance business recommendations
• Familiarity with security camera systems, CCTV platforms, or video management software such as Genetec
• Excellent communication skills and ability to collaborate with data science, product, and business teams to define requirements.
• Ability to problem solve creatively and learn quickly.
• Ability to manage tight deadlines, effectively prioritize efforts and achieve results in a fast-paced, dynamic environment.

Responsibilities

• Identifies and recommends areas of opportunity for expense control and labor optimization, used to inform workforce management decisions made by business leaders in various functions
• Conducts analysis used to improve store productivity and drive business performance, and develops recommendations informed by senior experience on high impact, high visibility projects
• Delivers in-depth analysis of labor allocation, including the use of, engineered labor standards, and field operations input to develop recommendations for executive leadership
• Synthesizes information from a variety of sources to derive insights and provide subject-matter expertise, including feedback from store technology users
• Act as a liaison between AI engineers and store operations to implement new AI capabilities
• Champion the value of AI through storytelling, visualizations, and executive-ready insights
• Identifies and presents actionable insights to resolve workforce planning and management challenges
• Proactively benchmarks budget, analysis, and scope of projects to ensure they fall within the available resources and timelines, while providing the input necessary for the success of the business
• Partners closely with HR and Finance to determine employee fill rates, hiring projections, staff planning, and financial planning

What This Job Offers

• Job Type: Full-time
• Career Level: Senior