Data Analytics Consultant - Workforce Management

Lowe's • Mooresville, NC

111d

About The Position

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.

Requirements

• 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.
• 3 years of experience using Microsoft Excel and PowerPoint, or comparable product.
• 3 years of experience working in an analytical role.
• 3 years of experience using business intelligence and reporting tools.
• 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.
• 2 Years of Experience using Python, R, Java, or comparable Object-Oriented programming language.

Nice To Haves

• 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.
• Excellent communication skills and ability to work in a team.
• 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

• Leads automation and analytical projects, collaborating across functional areas, including Store Operations and Technology teams.
• Proactively analyzes large and complex data sets to provide valuable insights and findings.
• Leads complex projects that ensure scheduling, workforce analytics, labor scheduling and labor allocation are optimized.
• Collaborates cross-functionally on financial planning and/or technology solutions.
• Facilitates large scale, enterprise initiatives with Operations, HR, Data Science, Finance, and other functional areas.
• Delivers in-depth analysis of labor allocation using complex statistical models.
• Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies.
• Synthesizes information from various sources to derive insights and provide subject-matter expertise.
• Recommends areas of opportunity for expense control and labor optimization.
• Creates predictive and prescriptive models to identify opportunities within the labor allocation process.

What This Job Offers

• Career Level: Mid Level
• Industry: Building Material and Garden Equipment and Supplies Dealers
• Education Level: Bachelor's degree