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Sr. Workforce Data Analyst
PMA Companies
Blue Bell, USA
Full-time
Senior
Onsite
Discovered 1 weeks ago
Microsoft Power BIMicrosoft FabricUKG ProADPSQL
Free
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Microsoft Power BIMicrosoft FabricUKG ProADPSQL
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Responsibilities
- 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.
- Build and support scalable data and automation solutions using tools such as Microsoft Fabric, Power BI, Power Automate, SharePoint, and related technologies.
- Partner with the Senior Workforce Analyst to support reporting, dashboard development, data visualization, and the expansion of workforce metrics and analytical capabilities.
- Translate business and reporting requirements into appropriate data models, governed datasets, repeatable processes, and automated solutions.
- Perform data validation, reconciliation, and root-cause analysis to ensure workforce data is accurate, complete, consistent, and appropriately represented over time.
- Support workforce data governance, including data definitions, mappings, lineage, documentation, access controls, privacy, security, and appropriate use of sensitive employee and payroll information.
- Identify opportunities to simplify, automate, and improve existing reporting, data-management, and business processes.
- Partner across HR, Payroll, Workforce Analytics, IT, Finance, and other business areas to integrate new data sources and support evolving organizational reporting and analytics needs.
- Support HCM implementations, integrations, conversions, historical data initiatives, and other projects requiring workforce data expertise.
- Demonstrate commitment to Company's Code of Business Conduct and Ethics, and apply knowledge of compliance policies and procedures, standards and laws applicable to job responsibilities in the performance of work.
Requirements:
- Bachelor's degree in Data Analytics, Information Systems, Business, Human Resources, Computer Science, or a related field, or equivalent relevant experience.
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