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 companys 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 Companys staff employees and business relationships.

POSITION REQUIREMENTS:

FORMAL EDUCATION:

Required:

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

Preferred:

• Masters 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%