HR Data Analytics Lead

Experience: 5+ years in HR analytics, workforce planning, or a similar data-driven HR role

Key Responsibilities:

• HR Data Strategy: Lead the development and execution of an HR data analytics strategy to enhance decision-making across the organization.
• Dashboards & Reporting: Design and maintain HR dashboards, reports, and data visualizations to provide actionable insights for HR leadership and business stakeholders.
• Data Analysis & Insights: Analyze complex HR datasets to identify trends, risks, and opportunities in areas such as talent acquisition, retention, workforce planning, and employee engagement.
• Data Quality & Governance: Collaborate with HR and IT teams to improve data quality, governance, and system integrations for HR analytics tools.
• Predictive Analytics: Utilize advanced statistical techniques such as regression analysis and predictive modeling to forecast workforce trends and outcomes.
• Change Management Analytics: Measure the impact of organizational change initiatives through employee sentiment analysis and feedback surveys.
• Compensation & Payroll Insights: Develop and implement data-driven solutions for compensation analysis, payroll analytics, and other HR insights.
• Strategic HR Support: Provide data-backed recommendations to improve HR processes and align HR strategies with business goals.
• Compliance & Data Security: Ensure adherence to data privacy laws and ethical standards in handling employee data.

Qualifications & Experience:

Essential:

• Master s degree in data science, Human Resources, Business Analytics, Statistics, or a related field.
• Minimum 5+ years of experience in HR analytics, workforce planning, or a similar data-driven HR role.
• Strong proficiency in HRIS systems (e.g., Workday, Dayforce) and data visualization tools (e.g., Power BI, Tableau).
• Expertise in statistical analysis, predictive modelling, and data mining techniques.
• Hands-on experience with Python or R for data analysis.
• Strong SQL skills for querying and managing HR data.
• Ability to translate complex data findings into actionable business insights.
• Strong communication and stakeholder management skills to present insights to non-technical audiences.
• Experience with HR metrics, benchmarking, and best practices in people analytics.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Experience: 5+ years in HR analytics, workforce planning, or a similar data-driven HR role

Key Responsibilities:

• HR Data Strategy: Lead the development and execution of an HR data analytics strategy to enhance decision-making across the organization.
• Dashboards & Reporting: Design and maintain HR dashboards, reports, and data visualizations to provide actionable insights for HR leadership and business stakeholders.
• Data Analysis & Insights: Analyze complex HR datasets to identify trends, risks, and opportunities in areas such as talent acquisition, retention, workforce planning, and employee engagement.
• Data Quality & Governance: Collaborate with HR and IT teams to improve data quality, governance, and system integrations for HR analytics tools.
• Predictive Analytics: Utilize advanced statistical techniques such as regression analysis and predictive modeling to forecast workforce trends and outcomes.
• Change Management Analytics: Measure the impact of organizational change initiatives through employee sentiment analysis and feedback surveys.
• Compensation & Payroll Insights: Develop and implement data-driven solutions for compensation analysis, payroll analytics, and other HR insights.
• Strategic HR Support: Provide data-backed recommendations to improve HR processes and align HR strategies with business goals.
• Compliance & Data Security: Ensure adherence to data privacy laws and ethical standards in handling employee data.

Qualifications & Experience:

Essential:

• Master s degree in data science, Human Resources, Business Analytics, Statistics, or a related field.
• Minimum 5+ years of experience in HR analytics, workforce planning, or a similar data-driven HR role.
• Strong proficiency in HRIS systems (e.g., Workday, Dayforce) and data visualization tools (e.g., Power BI, Tableau).
• Expertise in statistical analysis, predictive modelling, and data mining techniques.
• Hands-on experience with Python or R for data analysis.
• Strong SQL skills for querying and managing HR data.
• Ability to translate complex data findings into actionable business insights.
• Strong communication and stakeholder management skills to present insights to non-technical audiences.
• Experience with HR metrics, benchmarking, and best practices in people analytics.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.