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
- Experience using data management, extraction, technology strategy, data solutions creation, data sourcing, architecture, standards development and governance, privacy, and process development
Responsibilities
- Leads automation and analytical projects, collaborating across functional areas, including, but not limited to, Store Operations and Technology teams.
- Proactively analyzes large and complex data sets to provide valuable insights and findings that may not currently be known or evident
- 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.
- 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
- Synthesizes information from a variety of sources to derive insights and provide subject-matter expertise
Other
- Bachelor's Degree in Operations Engineering, Data Science, Business Analysis, or a related field or equivalent experience
- 4 Years of Experience related to workforce planning, data science, or data modeling
- 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
- Excellent communication skills and ability to work in a team
