Data Analytics Consultant - Store Ops AI & Innovation
Job 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.
Key Responsibilities
Leads automation and analytical projects, collaborating across functional areas, including, but not limited to, Store Operations and Technology teams. Projects may include data management, extraction, technology strategy, data solutions creation, data sourcing, architecture, standards development and governance, privacy, and process development
Leads complex projects that ensure AI based solutions, workforce analytics, innovative technology, and labor allocation are optimized to meet Lowe’s long-term goals.
Collaborates cross-functionally on financial planning and/or technology solutions to provide insight into the best utilization of business resources. Facilitates large scale, enterprise initiatives with Operations, HR, Data Science, Finance, and other functional areas.
Delivers in-depth analysis of labor allocation and technology adoption, including the use of complex statistical models, data science algorithms, and field operations input to develop recommendations for executive leadership.
Understands and can clearly communicate business functions, processes and overall business strategies.
Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members
Recommends areas of opportunity for technology optimization to inform workforce management decisions made by business leaders in various functions.
Creates predictive and prescriptive models to help identify opportunities to improve the efficiency and effectiveness of AI and Innovation solutions with Lowe's stores.
Required Qualifications
High school diploma or GED or equivalent years of experience in lieu of education requirement, if applicable
Bachelor’s degree Operations Engineering, Data Science, Business Analysis, or a related field or equivalent years of experience in lieu of education requirement, if applicable
4 Years of Experience related to workforce planning, data science, or data modeling
3 Years of Experience using Microsoft Excel and PowerPoint, or comparable product (e.g. Google Sheets, Slides, etc.)
3 Years of Experience working in an analytical role
3 Years of Experience using business intelligence and reporting tools (MicroStrategy, TM1, Hyperion/Essbase, Google Cloud Platform, Cognos, Teradata, etc.)
2 Years of Experience using SQL to query and combine data from multiple sources
2 Years of Experience using business analysis and data visualization tools (e.g. Tableau, Qlik, Power BI, etc.) to perform analysis
2 Years of Experience using Python, R, Java, or comparable Object-Oriented programming language
Preferred Qualifications
Master’s degree Operations Engineering, Data Science, Business Analysis, or a related field
1 Year of Experience working on Agile project management teams
1 Year of Experience using AI tools for business analysis, data science, or data modelling
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.