Cummins Inc.
Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.
Human Resources Analytics Manager
Location
United States
Posted
14 days ago
Salary
$163.2K - $176.4K / year
3 yrs expExperience acceptedEnglishPythonSQL
Job Description
• Lead in the design, development and implementation of systems and processes to facilitate the collection, consolidation, analysis and reporting of Human Resources data across the Corporation globally
• Participate in and lead various Human Resources operational and functional excellence improvement projects and support key global and regional Human Resources initiatives
• Monitor the development and delivery of management reports, analytics and executive summaries for key processes
• Utilize knowledge of Human Resources business processes, systems and information to provide accurate human resources information and analytics
• Monitor new technologies in the Human Resources Analytics area and conduct complex internal and external research
• Coordinate and conduct training of Human Resources employees on specific reporting and analysis methodologies, tools and processes utilizing Key Performance Indicators (KPIs)
• Evaluate HR policies, regulations and HR data that impacts organizational performance.
Job Requirements
- Master’s degree in Human Resources, Labor Relations or Public Affairs, or related field
- 3 years of experience as a Line Human Resources Generalist, Human Resources Analytics Specialist, Operational Excellence Specialist, or related position
- Alternatively, the employer will accept a Bachelor’s degree in Human Resources, Labor Relations or Public Affairs, or related field and 5 years of experience in relevant positions
- Experience to include: Human Resources Data Management; Human Resources operational and functional excellence; Lead complex Human Resources analytical initiatives; Data Analytics methodologies; Develop Human Resource business processes, systems, information, database structure and reporting, and manage best practices; Analytical tools including data analysis and visualization, R, SQL and Python; Six Sigma tools such as C&E (Cause and Effect Matrix), KJ (KJ Method); Statistical data analysis; Analyze Key Performance Indicators (KPIs); HR Information Systems (HRIS).
