HR Data Analyst

Vestis Uniforms and Workplace Supplies | Canadian Linen & Uniform Service | Québec Linge Service D’Uniformes • Roswell, GA

4d

About The Position

The HR Data Analyst develops and maintains Human Resources business intelligence dashboards, reporting tools, and data models to support workforce analytics and data-driven decision-making. The role integrates and analyzes HR, organizational, financial, and compensation data to deliver accurate reporting, meaningful insights, and scalable analytical solutions for Human Resources and business stakeholders.

The analyst partners with HR, Compensation, Talent Acquisition, Talent Management, and other stakeholders to understand reporting needs; develops recurring and ad hoc analyses, dashboards, and presentations; and translates complex data into clear visualizations and insights. The role also maintains documentation, supports improvements to HR reporting and data management, and handles confidential employee and compensation information in accordance with company policies and information security practices.

Requirements

• 2 to 4 years of experience in data analytics, business intelligence, Human Resources reporting, workforce analytics, or related experience.
• Strong knowledge of data analysis, reporting, business intelligence, and data visualization practices.
• Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, lookup functions, Power Query, data modeling, and analytical reporting.
• Strong proficiency in Power BI, including dashboard development, data modeling, report design, and data visualization.
• Ability to develop and maintain complex workforce and organizational data models, including headcount projections, labor cost reporting, and scenario analysis.
• Working knowledge of HR metrics, workforce data, organizational structures, and employee lifecycle information.
• Ability to work with compensation and payroll data as inputs to broader workforce analytics while applying established data definitions and reporting requirements.
• Ability to extract, combine, transform, and analyze large datasets from multiple systems and sources.
• Strong analytical and problem-solving skills, including the ability to identify trends, investigate discrepancies, and develop insights.
• Ability to interpret business requirements and translate them into reporting tools, dashboards, and analytical models.
• Strong attention to detail and ability to validate calculations, reconcile information, and maintain data accuracy.
• Ability to communicate complex analytical findings through dashboards, visualizations, written summaries, and presentations.
• Ability to manage multiple reporting requests, analytical projects, and deadlines independently.
• Strong proficiency in Microsoft Outlook, Word, Excel, and PowerPoint, including developing professional presentations and communicating analytical findings.
• Ability to maintain confidentiality and appropriately manage sensitive employee, compensation, and organizational information.

Nice To Haves

• Bachelor’s degree in Business Analytics, Data Analytics, Human Resources, Finance, Information Systems, Mathematics, or a related field preferred.
• Experience developing dashboards and analytical reports using Power BI and Microsoft Excel preferred.
• Experience working with HR, payroll, workforce, or organizational data preferred.
• Experience developing data models, automating reporting processes, and integrating information from multiple data sources preferred.
• Experience with SQL, Power Query, or related data transformation and modeling tools preferred.

Responsibilities

• Develop, maintain, and enhance Human Resources dashboards, reports, and analytical tools using Power BI, Microsoft Excel, and other reporting technologies.
• Build and maintain workforce and organizational data models for headcount reporting, labor cost analysis, workforce planning, and operational decision-making.
• Create interactive Power BI dashboards and visualizations communicating workforce trends, organizational metrics, and HR performance indicators.
• Develop advanced Excel models using complex formulas, pivot tables, Power Query, and other analytical capabilities.
• Analyze workforce data, including headcount, turnover, hiring, employee movement, organizational structures, employee demographics, and labor costs.
• Integrate compensation data into workforce dashboards and reporting models to provide visibility into payroll costs, compensation expenditures, and related metrics.
• Support the Compensation team by developing and maintaining data extracts, reporting tools, and dashboards based on established definitions and requirements.
• Develop standardized reporting methodologies, data definitions, and calculations to ensure consistency across HR dashboards and analytical tools.
• Extract, transform, validate, and consolidate data from HR information systems, payroll systems, compensation platforms, and other sources.
• Create and maintain data models integrating multiple sources of HR and workforce information.
• Partner with HR, Compensation, Talent Acquisition, Talent Management, and other stakeholders to understand reporting requirements and develop analytical solutions.
• Automate recurring reports, data preparation, and dashboard updates to improve efficiency, accuracy, and accessibility of HR information.
• Perform data validation, reconciliation, and quality reviews to ensure the accuracy and integrity of workforce and organizational information.
• Investigate data discrepancies, identify root causes, and coordinate corrections with system and process owners.
• Develop analytical models to evaluate workforce trends, staffing changes, organizational movements, and potential impacts of proposed workforce actions.
• Prepare recurring and ad hoc analyses, dashboards, and presentations for HR leadership and business stakeholders.
• Translate complex data into clear visualizations, summaries, and insights that support business decisions.
• Maintain documentation of reporting processes, data sources, calculations, model assumptions, and dashboard functionality.
• Support improvements to HR reporting infrastructure, business intelligence capabilities, and data management processes.
• Handle confidential employee and compensation information in accordance with company policies and established information security practices.
• Perform other duties as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level