Job Summary: The HR Data Analyst is responsible for collecting, analyzing, and reporting on HR data to support data-driven decision-making within the Human Resources department. This role involves working closely with HR leadership and cross-functional teams to identify trends, track key performance indicators (KPIs), and provide actionable insights that align with the organization’s strategic goals. The HR Data Analyst plays a critical role in optimizing HR processes and enhancing the overall effectiveness of the HR function.
Key Responsibilities - Data Collection and Management:
- Collect, organize, and maintain HR data from various sources, including HRIS, payroll systems, employee surveys, and other relevant databases.
- Ensure the accuracy, integrity, and security of HR data by implementing data validation and quality control processes.
- Develop and maintain databases, dashboards, and reporting tools to streamline data management and reporting.
- Data Analysis and Reporting:
- Analyze HR data to identify trends, patterns, and insights related to workforce demographics, employee turnover, engagement, performance, and other key HR metrics.
- Prepare and deliver regular reports, dashboards, and presentations to HR leadership and business stakeholders, highlighting key findings and recommendations.
- Use data visualization tools (e.g., Power BI, Tableau) to create compelling visualizations that communicate complex data in an accessible and actionable way.
- HR Metrics and KPIs:
- Define and track key performance indicators (KPIs) to measure the effectiveness of HR initiatives, programs, and processes.
- Monitor and report on metrics such as time-to-hire, turnover rates, employee engagement scores, diversity and inclusion metrics, and compensation analysis.
- Provide insights and recommendations based on KPI analysis to improve HR strategies and operations.
- Support HR Initiatives:
- Collaborate with HR teams on strategic initiatives such as workforce planning, talent management, diversity and inclusion, and employee engagement.
- Provide data-driven support for HR projects, including the development of business cases, scenario modeling, and impact analysis.
- Assist in the design and implementation of HR surveys, assessments, and other data collection tools.
- Compliance and Reporting:
- Ensure compliance with federal, state, and local regulations related to HR data reporting, such as EEO-1, VETS-4212, and other required filings.
- Prepare and submit HR compliance reports as needed, ensuring accuracy and timeliness.
- Maintain up-to-date knowledge of HR data privacy laws and regulations, and ensure that all data handling practices comply with legal requirements.
- Data-Driven Decision Making:
- Partner with HR leaders to identify data needs and provide actionable insights to support strategic decision-making.
- Conduct ad-hoc analyses to address specific HR-related questions or challenges, providing data-driven recommendations to HR leadership.
- Continuously seek opportunities to leverage data and analytics to improve HR processes, enhance employee experience, and drive organizational success.
- Continuous Improvement:
- Stay current with industry trends, best practices, and emerging technologies in HR analytics and data management.
- Participate in professional development and training to enhance analytical skills and knowledge of HR metrics.
- Contribute to the continuous improvement of HR data processes, tools, and reporting capabilities.
Qualifications
- Bachelor’s degree in Human Resources, Data Science, Statistics, Business Administration, or a related field.
- 2-4 years of experience in data analysis, HR analytics, or a related role.
- Strong proficiency in data analysis tools and software, such as Excel, SQL, Power BI, Tableau, or similar platforms.
- Solid understanding of HR processes, metrics, and best practices.
- Excellent analytical and problem-solving skills, with the ability to translate data into actionable insights.
- Strong communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.
- Attention to detail and a commitment to data accuracy and integrity.