People Analytics Analyst

Crown Equipment Corporation

17h•Onsite

About The Position

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world’s largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Requirements

2-4 years related experience
Bachelor’s degree (Data Science, Statistics, Mathematics, Information Technology, Human Resources or related degree)
Non-degree considered if 12+ years of related experience along with a high school diploma or GED
Must be able to work onsite five days a week in New Bremen, Ohio
Work Authorization: Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Nice To Haves

Solid understanding of statistical concepts and methods.
Experience using Structured Query Language (SQL) to query databases.
Experience designing datasets.
Experience with Extract, Transform, Load (ETL) tools.
Experience with data visualization tools.
Experiences with Python and Excel.
Knowledge of HR processes.
Experience with HRIS and reporting tools.
Detail-oriented with good problem-solving skills.
Excellent written and verbal skills.

Responsibilities

Analyze, design, and maintain HR datasets required to support People and Data Analytics initiatives.
Monitor quality of HR datasets to ensure they are accurate, complete, consistent, and contain the correct attributes.
Work with global HR, Human Resource Information Systems (HRIS) teams, and Data Governance Lead to correct data quality issues in HR datasets.
Design, develop, and maintain complex reports, dashboards, and metrics / KPIs.
Ensure dashboards are accurate and up to date.
Ensure visualizations are clear and concise.
Use appropriate visualizations to ensure findings are easily understood by both technical and non-technical audiences.
Complete ad-hoc data requests for global HR and Company leadership.
Perform exploratory data analysis to identify trends and patterns.
Profile, test hypotheses, and run statistical tests on HR data.
Use AI, ML, and other advanced analytical models to find trends and patterns in HR data.
Translate findings into clear, compelling narratives and actionable recommendations to drive change.
Support global HR in their data analysis projects.
Promote data literacy within global HR.
Collaborate with Global Business Systems (GBS), HR, and Information Technology (IT) teams to improve data collection, reporting processes, and analytics technology.
Attend in person, online, and other training.
Stay up to date on People Analytics best practices, innovations, and technology.
Experiment with tools to hone/improve skills.
Perform other duties as assigned.