Your Impact
The primary purpose of this role is to lead, assess, design, implement, and enhance systems and processes that support the goal of optimizing labor allocation within Lowe's stores across the US. This role leads and supports projects at all levels of the organization and a successful candidate should be comfortable tailoring content to meet the needs of a wide variety of stakeholders. This role requires a self-starter with strong analytical and problem-solving skills, as well as the ability to build, assess, modify, and maintain complex data manipulation models, scripts, and processes. The Analytics Consultant will need to be a creative thinker with a strong bias toward action and the ability to collaborate cross functionally.
What You Will Do
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 scheduling, workforce analytics, labor scheduling 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, including the use of complex statistical models, engineered labor standards, 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 expense control and labor optimization to inform workforce management decisions made by business leaders in various functions. Full accountability forecasting expense related to operating salaries for stores.
Creates predictive and prescriptive models to help identify opportunities within the labor allocation process
Minimum Qualifications
4 Years of Experience related to workforce planning, data science, or data modeling
Bachelor's Degree in Operations Engineering, Data Science, Business Analysis, or a related field or equivalent experience
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, Business Objects, 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 Skills/Experience
Master's degree in Operations Engineering, Data Science, Business Analysis, or a related field or equivalent experience
1 Year of Experience working on Agile project management teams
About Lowe’s
Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. 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.
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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.
Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit
Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience.