A family-owned business since 1924, A. Duie Pyle provides a range of integrated transportation and distribution solutions throughout the Northeast. Supported by our vast network of Less-Than-Truckload (LTL) service centers, warehouse facilities, and dedicated locations, we have the ability to offer flexible and seamless integrated solutions tailored to our customer’s needs. Simply put, when it comes to integrated supply chain solutions, Pyle People Deliver. Our promise is to provide outstanding service as it remains to be our first and foremost mission. Position Summary: The HRIS Analyst will be responsible for the day-to-day functionality of UKG, along with project support in UKG, Security Administration, Business Process Design, ATS, End User Experience and Data & Reporting. This position will assist in designing and implementing best practices/business process/workflows and ensuring other system dependencies are in place within UKG while partnering with downstream system owners. The responsibilities of the position include, but are not limited to: Providing management of enterprise-wide HRIS operations to ensure alignment with HR function and Company goals Providing expert analyses regarding the configuration, accuracy and efficiency of HRIS programs and internal modules Managing information and updates and maintaining data integrity within HRIS throughout the employee lifecycle Partnering cross-functionally with associated team members including Payroll, IT, and Accounting Identifying risks or opportunities and recommend changes to processes which improve the delivery of HR services to the organization Acting as a subject matter expert for continuous improvement initiatives related to HR processes and systems Generating reports/queries, including writing, maintaining and supporting a variety of reports or queries utilizing appropriate reporting tools including MS SQL, SSRS, SSIS, and Cognos. Assisting in development of standard reports for ongoing customer needs. Helps maintain data integrity in systems by running queries and analyzing data
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Job Type
Full-time
Career Level
Mid Level