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.
Requirements
- 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
- Bachelor's Degree in Operations Engineering, Data Science, Business Analysis, or a related field or equivalent experience
Responsibilities
- Leads automation and analytical projects, collaborating across functional areas, including, but not limited to, Store Operations and Technology teams.
- Leads complex projects that ensure scheduling, workforce analytics, labor scheduling and labor allocation are optimized to meet Lowe’s long-term goals.
- 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.
- Creates predictive and prescriptive models to help identify opportunities within the labor allocation process
- Collaborates cross-functionally on financial planning and/or technology solutions to provide insight into the best utilization of business resources.
- 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.
Other
- 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
- Master's degree in Operations Engineering, Data Science, Business Analysis, or a related field or equivalent experience (Preferred)
- 1 Year of Experience working on Agile project management teams (Preferred)
- Strong analytical and problem-solving skills
