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Closed on September 2, 2026.
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HR Data Analyst & Reporting
Analytics
Business Analytics
Business Intelligence
Data Analysis
Data Analytics
Data Integration
Data Processing
Data Visualization
Dayforce
HR
Hr Analytics
Hr Reports
HR Systems
Microsoft
Power BI
Power Platform
Reporting and Analytics
SQL
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Job Description
The HR Data Analyst & Reporting role partners with HR, Finance, and business leaders to analyze workforce data, develop dashboards and reports, and translate insights into actionable talent strategies, leveraging AI-enabled analytics where appropriate; this position is based in White Plains, NY with hybrid work arrangements.
Responsibilities
- Analyze HR data across systems such as Dayforce, applicant tracking systems (ATS), and engagement tools to identify trends and actionable insights
- Develop dashboards and reports to support workforce planning, turnover analysis, and organizational effectiveness
- Conduct in-depth analyses on attrition, hiring, performance ratings, and compensation outcomes
- Translate complex data into clear, actionable insights for senior leadership
- Explore opportunities to leverage AI-enabled tools and automation to improve reporting efficiency, trend analysis, and insight generation
- Support the development of predictive and forward-looking workforce analytics capabilities
- Build and maintain standardized and ad hoc reports for HR and business leaders
- Design executive dashboards focusing on headcount, diversity, compensation, and hiring metrics
- Ensure data accuracy, consistency, and integrity across reporting outputs
- Evaluate emerging analytics and visualization technologies, including AI-assisted reporting capabilities, to enhance decision-making
- Support workforce planning efforts with data-driven insights such as headcount forecasting and vacancy trends
- Analyze compensation and pay equity trends in partnership with the Compensation team
- Support performance management analytics, including rating distributions and calibration insights
- Maintain data quality standards and collaborate with HRIS to resolve data integrity issues
- Contribute to the development of data definitions, governance frameworks, and reporting standards
- Ensure compliance with data privacy and security policies
- Collaborate with HR leaders in Compensation, Benefits, HRIS, and Talent Acquisition to understand business needs
- Provide data-driven recommendations to improve HR programs and processes
- Support executive reporting and presentations with clear data storytelling
Requirements
- Bachelor’s degree in Data Analytics, Human Resources, Business, or related field
- Minimum 3–6 years of experience in HR analytics, data analysis, or related role
- Advanced proficiency in Excel, including pivot tables, formulas, and data modeling
- Experience with HRIS systems
- Experience with data visualization tools such as Tableau or Power BI
Technologies
- Excel
- Dayforce
- ATS
- HRIS systems
- Tableau
- Power BI
- SQL
- Microsoft Copilot
- ChatGPT
- Claude
Benefits
- Medical, dental and vision insurance
- Employee assistance program
- Generous paid time off
- 401K contributions
Pay Range
Salary range: USD 104,000 - 141,000 per year
Education & Experience
- Bachelor’s degree in Data Analytics, Human Resources, Business, or related field
- Minimum 3–6 years of experience in HR analytics, data analysis, or related role
Technical Skills
- Advanced proficiency in Excel (pivot tables, formulas, data modeling)
- Experience with HRIS systems
- Experience with data visualization tools (Tableau, Power BI)
- Familiarity with SQL or other data querying tools preferred
- Exposure to AI-assisted analytics tools (e.g., Microsoft Copilot, ChatGPT, Claude, Power BI AI capabilities) preferred
- Familiarity with predictive analytics concepts and workforce modeling is a plus
Core Competencies
- Strong analytical and problem-solving skills
- Ability to translate data into business insights and recommendations
- High attention to detail and data accuracy
- Strong communication and stakeholder management skills
- Ability to work independently and manage multiple priorities