Sr. Workforce Data Analyst

PMA Companies; Center Square (PA); On-site; USD 90,000 - 130,000; Full time

Job summary

PMA Companies is seeking a Sr Workforce Data Analyst to lead analytics initiatives across HR and payroll data sources. The role focuses on building data models, governance, and scalable datasets to support reporting, dashboards, automation, and workforce insights.

You will collaborate with HR, IT, and business partners to ensure data accuracy, security, and availability for analytical use while leveraging Microsoft Fabric, Power BI, and related tools.

Qualifications

• Bachelor's degree in Data Analytics, Information Systems, Business, HR, CS, or related field.
• Experience building data structures, models, or processes for reporting and analytics.
• Experience extracting, transforming, integrating, and validating data from multiple sources.
• Strong data modeling, governance, and data quality principles.
• Experience with Microsoft Power BI and data visualization.
• Familiarity with Microsoft Fabric, Power Automate, SharePoint, or Power Query.
• Ability to create scalable, repeatable data processes.

Responsibilities

• Develop, maintain, and enhance workforce data structures, models, and processes for HR reporting and analytics.
• Transform data from HCM, payroll, and other sources into analytics-ready datasets.
• Build scalable data and automation solutions using Microsoft Fabric, Power BI, Power Automate, SharePoint.
• Collaborate with the Senior Workforce Analyst to support dashboards and metrics expansion.
• Translate business requirements into data models and automated solutions.
• Perform data validation, reconciliation, and root-cause analysis.
• Support data governance, privacy, and access controls.
• Identify opportunities to streamline reporting and data-management processes.
• Partner across HR, Payroll, IT, Finance to integrate new data sources.
• Assist with HCM implementations, data migrations, and historical data initiatives.

Skills

Data analysis

Data modeling

Data governance

Communication

Problem solving

Education

Bachelor's degree in Data Analytics, Information Systems, Business, HR, CS

Tools

Microsoft Fabric

Power BI

Power Automate

SharePoint

Power Query

SQL

ETL/ELT

Job description

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.

This role will work across current and legacy HCM and other organizational data sources to create reliable and scalable datasets that support reporting, dashboards, automation, and workforce analytics. The analyst will partner closely with the Senior Workforce Analyst, HR & Payroll Systems team, IT, and other business partners to ensure workforce data is accurate, secure, well-structured, and readily available for analytical use.

As workforce analytics capabilities continue to expand, this position will help identify opportunities to streamline manual processes, improve data accessibility, and leverage Microsoft technologies including Microsoft Fabric, Power BI, Power Automate, SharePoint, and related tools to support more efficient and sustainable reporting and analytics solutions.

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.


• 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.


• Strong analytical and problem-solving skills, including the ability to investigate data discrepancies, identify root causes, and recommend solutions.


• Ability to translate business and reporting requirements into effective data, reporting, automation, or process solutions.


• Strong attention to detail with demonstrated ability to maintain accuracy when working with large or complex datasets.


• Ability to document data definitions, mappings, transformations, business rules, and processes.


• Strong communication and collaboration skills with the ability to work effectively across HR, Payroll, IT, Finance, and other business functions.


• Ability to manage multiple priorities and adapt to evolving systems, technologies, reporting needs, and organizational requirements.

Preferred Qualifications

• Experience with UKG Pro, ADP, or another enterprise HCM/payroll platform.


• Experience with SQL, ETL/ELT processes, semantic models, dataflows, data warehouses, or lakehouse environments.


• Experience supporting HCM implementations, data conversions, system integrations, or historical workforce data.


• Experience combining HR data with Finance, Operations, or other enterprise data sources.


• Familiarity with dimensional modeling and the development of governed datasets for enterprise analytics.

Alternate Location(s)

Philadelphia , Pennsylvania , United States

West Chester , Pennsylvania

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This Company is an Equal Opportunity Employer, and does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, or on any other basis prohibited by law. Information on race, gender and national origin will only be used for statistical and recordkeeping purposes, and will not be used in making any employment decisions. All information provided will be kept separate from your expression of interest. Providing this information is strictly voluntary, and you will not be subjected to any adverse action or treatment if you choose not to provide this information. If you do not choose to answer these questions, we ask that you select "Decline to Identify" for each question. Thank you for your voluntary cooperation.

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