NAS Impl - Time DIS_1 171008

A Kronos Data Integration Specialist's job involves creating, managing, and troubleshooting integrations between the Kronos (UKG) workforce management system and other enterprise applications, like HRIS and payroll systems. This requires expertise in Kronos Workforce Integration Manager (WIM), SQL, and various data integration tools, ensuring data accuracy and system efficiency. Key responsibilities include building interfaces, mapping data, and collaborating with HR, IT, and payroll teams to support business needs. Key responsibilities System integration: Create, configure, and manage data interfaces using Kronos WIM, Dell Boomi, or other ETL tools to connect Kronos with other systems (e.g., HRIS, payroll). Data management: Ensure data accuracy, security, and compliance across systems. This includes troubleshooting and resolving data discrepancies and errors. Technical documentation: Develop and maintain technical specifications, interface mappings, and deployment procedures. Collaboration: Work with HR, Payroll, and IT teams to gather requirements and implement solutions that support business needs and processes. Performance optimization: Monitor system performance and implement strategies for optimization. Troubleshooting and support: Troubleshoot and resolve issues related to Kronos data and integrations. This can include supporting end-users and maintaining system stability. Testing: Participate in testing new system enhancements and production fixes. ##LI-DNIRequired skills and qualifications Kronos expertise: Strong experience with Kronos Workforce Central/UKG Pro or Kronos Dimensions/UKG Dimensions, and specifically with Workforce Integration Manager (WIM). Technical proficiency: SQL: Strong skills in writing complex SQL queries and performance tuning. Integration tools: Experience with ETL tools like Dell Boomi, Informatica, or similar. APIs and formats: Familiarity with API-based (SOAP/REST) and file-based integrations (CSV, XML). Domain knowledge: Understanding of workforce data models, timekeeping, scheduling, and payroll integrations. Analytical skills: Strong analytical, problem-solving, and collaboration skills are essential. Education: Typically requires a Bachelor's degree in Computer Science, Information Technology, or a related field.