[Hiring] HR Analytics Analyst @The Home Depot

Role Description

To take a consultative role with internal HR clients to identify strategic information needs, conduct data and process analyses, provide actionable recommendations, and to manage and execute analytical projects that support the organization's strategic objectives.

• Conduct analyses of varying complexity of Home Depot's HR, Payroll and related business data and processes with emphasis on identifying trends, determining root cause of problems and determining solutions to manage them and that drive effective business decisions.
• Coordinate the design, development and implementation of analytical tools, technology and business solutions that improve HR and business decisions and that drive operational efficiency.
• Gather functional requirements, maintain documentation, and develop project plans and status reports used for managing Analytics projects and that guide the development activities of IT and HR Services supporting staff.
• Design and develop dashboards, reports, presentations and visual aids designed to educate, inform and influence the decisions of HR clients and business leaders within Home Depot.
• Educate and raise the awareness of business leaders and internal HR clients regarding availability and use of analytical tools, techniques and the opportunities that exist with strategic use of Home Depot's HR information assets.

Qualifications

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Requirements

• Experience with the statistical analysis and modeling of business data, preferably in areas of HR, Payroll, Benefits, and Finance within a retail or large service based organization.
• Six Sigma training and certification. Practical experience with applying Six Sigma techniques in formal business projects.
• Experience with statistical analysis software such as SAS, Minitab, JMP.
• Experience with designing business reports, dashboards and graphical presentations conveying analytical concepts.
• Experience with Excel and Powerpoint using advanced level spreadsheet analytics for developing presentations.
• Experience working with Microsoft Access or similar relational databases. SQL skills beneficial.
• Experience with business data modeling, data warehousing and data mining techniques.
• Familiarity or experience with Microstrategy or other BI tools a plus.

Company Description