HR Analytics I
Winston-Salem, NC, US, 27101
Overview
HanesBrands (NYSE: HBI) makes everyday apparel that is known and loved by consumers around the world for comfort, quality and value. Among the company’s iconic brands are Hanes, the leading basic apparel brand in the United States; Bonds, which is setting new standards for design and sustainability; Maidenform, America’s number one shapewear brand; and Bali, America’s number one bra brand. HBI employs 48,000 associates in 29 countries and has built a strong reputation for workplace quality and ethical business practices. The company, a longtime leader in sustainability, has set aggressive 2030 goals to improve the lives of people, protect the planet and produce sustainable products.
The HR Analytics I utilizes data to drive strategic HR decisions, focusing on collecting, analyzing, and interpreting HR data to inform decision-making and improve HR processes. This role involves developing key metrics, creating predictive models for workforce planning, and generating reports to communicate findings to stakeholders. Additionally, the HR Analytics I collaborates on HR strategies and ensures compliance with regulations. They work closely with the HRBP team, integrating processes within HR, and work cross[1]functionally within the organization.
Responsibilities
• Gather, organize, clean, and analyze HR data from various sources, including HRIS, employee surveys, and other relevant systems.
• Develop data-driven reports and presentations to communicate findings and recommendations to senior leadership and other stakeholders.
• Identify, develop, and monitor key HR metrics to track progress, identify trends, and inform decision-making.
• Utilize data analysis to develop and implement workforce plans that align with business goals and ensure an effective workforce.
• Analyze data related to recruitment, retention, compensation, and employee engagement to optimize talent management practices.
• Work collaboratively with HR teams, managers, and other departments to ensure HR strategies are aligned with business goals.
• Ensure HR practices align with employment laws and company policies.
• Evaluate the performance of HR tools and systems and recommend improvements.
• Provide data-driven insights to inform performance reviews and performance management processes.
• Identify and address skills gaps within the workforce to improve employee capabilities.
• Analyze data related to employee engagement and satisfaction to improve employee experience and retention
Minimum Education/ Experience
Bachelor's degree with 1+ years of work experience; 4+ years of equivalent work experience can be substituted for a Bachelor's degree.
Preferred Certifications
Relevant certifications in HR analytics or data analysis.
Specific Skills or Experience Required
• Bachelor's degree with 1+ years of work experience; 4+ years of equivalent work experience can be substituted for a Bachelor's degree
• Analyze complex data sets and extract meaningful insights to inform HR strategies and decisions.
• Ensure precision in data collection, analysis, and reporting to guarantee accuracy and reliability of information.
• Utilize expertise in HR information systems (HRIS), analytics tools (e.g., Power BI, Tableau), and statistical software.
• Communicate data-driven insights and recommendations effectively to stakeholders.
• Identify HR-related issues, analyze data, and develop effective solutions
• Align HR analytics with broader business goals and strategies.
• Collaborate effectively with HR teams, managers, and other departments to implement data[1]driven HR initiatives.
• Manage multiple projects, prioritize tasks, and meet deadlines.
• Ensure compliance with employment laws and company policies while handling sensitive HR data.
• Adapt to changing business needs and evolving HR technologies.
Job Specific Competencies
• Proficiency in statistical analysis and data mining techniques.
• Ability to identify patterns, trends, and correlations within large data sets.
• Skill in translating data insights into actionable HR strategies.
• Expertise in data cleaning, preparation, and reporting techniques.
• Advanced skills in analytics tools like Power BI and Tableau for data visualization.
• Strong written and verbal communication skills to effectively present data-driven insights.
• Problem-solving skills to address HR challenges using data insights.
• Ability to integrate HR analytics into strategic planning processes.
• Strong interpersonal skills for effective collaboration across departments.
• Flexibility to adapt to changing business needs and evolving HR technologies.
Core Competencies
• Data Fluency
• Written/verbal communication and listening
• Strong interpersonal and relationship skills
• Teamwork and collaboration
• Results orientation
• Adaptability
Core Values
Play to Win - We expect to win, working together to drive results. We push ourselves to simplify and innovate. When we fail, learn from it. We will break with the past when necessary to move forward.
Act Like Owners - We take action. We build relationships across functions so we can see the company holistically and seek out opportunities for improvement. We’re willing to sacrifice in one area if that leads to our overall success.
Do What’s Right - We behave ethically. We are transparent. We share information about the factors influencing our actions. Our behavior aligns with our values. Our products make the world a better place.
Create Opportunity for All - With success comes opportunity. Everyone is respected and included. We provide opportunities for all associates to reach their Full Potential.
To qualify, applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa status.
EOE/AA: Minorities/Females/Veterans/Disabled.
Applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly by:
Telephone: 877.999.5553
Email: HBI_TA@hanes.com.
Nearest Major Market: Winston-Salem
Job Segment:
Data Analyst, Analytics, Data Mining, Statistics, Strategic Planning, Data, Management, Strategy, Technology