People Analytics Specialist

Requisition Id 13071 

Annual Salary Range: $96,000.00 - $120,000.00 

Work-Site Type: Remote 

 

ORNL offers a flexible work environment that supports both the organization and the employee.  In addition, this position is considered remote-eligible for ORNL in pre-approved locations.  Remote-eligibility is not a continued guarantee and could be subject to change based on evolving organizational needs.

 

Note about pay range:

Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay. Salary for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US

 

 

Overview:

Oak Ridge National Laboratory (ORNL) is a U.S. Department of Energy (DOE) Office of Science national laboratory, with an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,200 people! ORNL’s decadal vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. Come join us as we solve the nation's biggest challenges!

 

Job Summary:

We are seeking a highly skilled and experienced People Analytics Specialist to join our Human Resources Directorate. The ideal candidate will have a strong background in reporting and data analytics, with proficiency in SAP, SAP SuccessFactors, and Power BI. This role will be responsible for gathering, analyzing, and interpreting HR data to provide actionable insights and support data-driven decision-making within the organization.

 

Responsibilities:

• Develop and maintain HR reporting and analytics dashboards using Power BI to track key performance indicators (KPIs), trends, and metrics related to workforce planning, recruitment, retention, performance, and diversity.
• Collaborate with HR teams to identify data needs, gather requirements, and ensure data accuracy and integrity across all HR systems, including SAP and SAP SuccessFactors.
• Conduct data analysis to identify patterns, trends, and correlations, and present findings in a clear and concise manner to stakeholders at all levels.
• Generate ad-hoc reports and analyses in response to specific HR inquiries or business needs, providing insights and recommendations for improvement.
• Work closely with HRIS and IT partners to ensure compliance with data privacy and security regulations, and to optimize data management processes.
• Provide training and support to HR staff on data visualization tools and techniques, enabling self-service access to relevant HR data.
• Stay informed about industry best practices, emerging trends, and new technologies in people analytics and data visualization, and make recommendations for continuous improvement.
• Lead the implementation of Workforce Analytics/People Analytics in SAP SuccessFactors.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Job Requirements:

• BS/BA degree in Human Resources, Statistics, Data Science, Information Technology, or related field.
• A minimum of five years of experience in people analytics, HR reporting, data analysis or related field.
• Advanced skills in data visualization tools such as Power BI, Tableau, or similar platforms, with the ability to create interactive dashboards and reports.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and r