SR Workforce Planning and HR Data Analytics Analyst at GAF
Parsippany, NJ — full-time
At GAF, we cover more than buildings. We cover each other. No matter what role, tenure, or track, under this roof you are empowered to be there for your teammates, your customers, and especially your community. Under this roof, we don’t back down from hard work– we support one another in pursuit of something bigger. We define the future while leading the present. And under this roof, we own our opportunities. Becoming the market leader only happens when everyone feels they have the opportunity, and the support, to thrive. We are GAF. And under this roof, we protect what matters most. Job Summary The Sr Workforce Planning and HR Analytics Analyst will primarily support Workday Adaptive Planning and One Model HR Analytics while driving improvements to capabilities supporting HR Centers of Excellence. This individual will serve as a technical expert, helping shape the long-term direction, design standards, and data strategy for HR reporting and analytics capabilities. They will partner with HR stakeholders to understand business questions, translate needs into reporting solutions, and recommend improvements that strengthen data visibility and scalable reporting functionality. Essential Duties Develop, maintain, and enhance workforce data structures, models, and processes supporting HR reporting, dashboards, and broader organizational metrics. Manage and transform data from current and legacy HCM, payroll, workforce management, and other organizational sources into reliable, analytics-ready datasets. Build and support scalable data and automation solutions using tools such as One Model, Workday, Google Suite and related technologies. 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, access controls, privacy, and appropriate use of sensitive employee and payroll information. Qualifications Required Bachelor’s Degree in Finance, Engineering, Data Analytics or related field or equivalent relevant work experience preferred Demonstrated experience working with complex datasets, including extracting, transforming, integrating, and validating data from multiple systems. A strong understanding of data modeling, data relationships, data quality, data governance, and data integrity principles. Experience with business intelligence and data visualization tools, preferably One Model and Workday Adaptive Planning. The ability to translate business and reporting requirements into effective data, reporting, automation, or process solutions. Strong communication and collaboration skills with the ability to work effectively across HR, Finance, Operations, IT, and other business functions. A strict understanding of the sensitivity of HR and payroll data, including appropriate data security, confidentiality, and role-based access practices. Base salary and/or rate of