Senior Workforce Data Analyst

Role Overview

The Sr Workforce Data Analyst will play a critical role in building and strengthening the foundation of workforce analytics by developing and maintaining the data models, tools, systems, and processes necessary to improve how HR and workforce data is captured, structured, integrated, governed, and utilized.

What You Will Do

Develop, maintain, and enhance workforce data structures, models, and processes supporting HR reporting, dashboards, analytics, and broader organizational metrics. Manage and transform data from current and legacy HCM, payroll, workforce management, recruiting, compensation, and other organizational sources into reliable, analytics-ready datasets.

Why It Might Be a Fit

This role requires strong analytical and problem-solving skills, including the ability to investigate data discrepancies, identify root causes, and recommend solutions. The ideal candidate will have experience working with complex datasets and developing data structures, models, or processes to support reporting and analytics.

Requirements

• Bachelor’s degree in Data Analytics, Information Systems, Business, Human Resources, Computer Science, or a related field, or equivalent relevant experience.
• Demonstrated experience working with complex datasets and developing data structures, models, or processes to support reporting and analytics.
• Experience extracting, transforming, integrating, and validating data from multiple systems or data sources.
• Strong understanding of data modeling, data relationships, data quality, data governance, and data integrity principles.
• Experience with business intelligence and data visualization tools, preferably Microsoft Power BI.
• Experience with or working knowledge of Microsoft Fabric, Power Automate, SharePoint, Power Query, or other Microsoft data and automation tools.
• Ability to develop scalable and repeatable data processes that reduce manual reporting and improve data accessibility and reliability.
• Experience supporting HR, payroll, workforce management, or other employee-related data is strongly preferred.
• Understanding of the sensitivity of HR and payroll data, including appropriate data security, confidentiality, privacy, and role-based access practices.

Tagged as: Data Analysis