Workforce Analytics Business Partner I

As a Workforce Analytics Business Partner, you will work directly with Organizational Development, Talent Development, Learning, Compensation, and Employee Relations teams working within our business segments to understand roles, talent pipelines, perspectives, and complexities of each business towards effectively uncovering meaningful and actionable trends and insights for these teams and group leadership. This role will specifically partner with HR leaders within our end-to-end Global Supply Chain business and Global Architectural Paint Businesses to support strategic alignment and goals using workforce data.

CORE RESPONSIBILITIES AND TASKS:

(1) Analytics & Engagement:

• Supports workforce research and analytics projects that answer questions related to the company's ability to attract, retain, engage, and develop talent.
• Uses a variety of qualitative and quantitative methods to analyze and interpret data from multiple data sources to help stakeholders set and track progress toward goals; identify relationships, patterns, and trends in data; and create predictive models to support data-driven decision making.
• Supports employee listening projects such as employee engagement surveys, exit surveys, focus groups, employee interviews, pulse surveys, and other custom employee surveys.
• Prepares presentations about research findings to stakeholders.

(2) Operational Reporting & Product Support:

• Supports the design of new HR metrics, reports, dashboards, visualizations, white papers, and other workforce research efforts.
• May submit a ticket to the appropriate technical resource to escalate issues.

(3) Department Support:

• May update SOPs and other department documentation and resource materials.

(4) HR Data Literacy:

• Identifies areas of common misunderstanding and makes suggestions for improvements in communication and the usability of reports and dashboards.

"Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships."

POSITION REQUIREMENTS:

FORMAL EDUCATION:

Required:

• Bachelor's Degree from an accredited institution in Industrial-Organizational Psychology, Business Analytics, Data Analytics, Data Science, Statistics, Psychology, or Human Resources.

Preferred:

• Master's Degree from an accredited institution in Industrial-Organizational Psychology, Business Analytics, Data Analytics, Data Science, Statistics, Psychology, or Human Resources.

KNOWLEDGE & EXPERIENCE:

Required:

• 1+ years of experience providing data analysis and insights.
• 1+ years of experience with survey design and methodologies.
• Beginner knowledge of industry standard HR metrics, policies, and procedures.
• Beginner knowledge of talent management and employee engagement principles.

Preferred:

• 1+ year of experience providing data analysis and insights.
• 1+ year of experience with survey design and methodologies.

PHYSICAL REQUIREMENTS:

• Employee must be able to operate a computer and communicate via telephone.

TECHNICAL/SKILL REQUIREMENTS:

Required:

• Intermediate level proficiency with Microsoft Excel and manipulating large data files.
• Intermediate level proficiency with data visualization and reporting tools (i.e. Tableau, Power BI, Qlik, etc.).
• Beginner level proficiency using or extracting data from an HRIS or EAP system (i.e., Oracle HR Cloud, Workday, SAP, ServiceNow, etc.).
• Beginner level proficiency performing data modeling.
• Beginner level of proficiency performing testing, quality assurance, and data validation tasks.

Preferred:

• Intermediate level proficiency using or extracting data from an HRIS or EAP system (i.e., Oracle HR Cloud, Workday, SAP, ServiceNow, etc.)
• Intermediate level proficiency performing data modeling.
• Beginner level of proficiency working with data warehousing tools and ETL processes (i.e., Snowflake, AWS, Azure, etc.).
• Beginner level of proficiency working with statistical analysis software and tools (i.e. R, SPSS, SAS, etc.).

TRAVEL REQUIREMENTS: (TIME SPENT AWAY FROM HOME OR OTHER TYPICAL OFFICE LOCATION)

• 0-5%