$ cat jobs/hr-data-operations-specialist-averydennison-1062fa9fa5fb.json
HR Data Operations Specialist
Avery Dennison (NYSE: AVY) is a global materials science and manufacturing company specializing in the design and manufacture of a wide variety of labeling and functional materials. The company’s products, which are used in nearly every major industry, include pressure-sensitive materials for labels and graphic applications; tapes and other bonding solutions for industrial, medical and retail applications; tags, labels and embellishments for apparel; and radio frequency identification (RFID) solutions serving retail apparel and other markets. Headquartered in Glendale, California, the company employs approximately 30,000 employees in more than 50 countries. Reported sales in 2017 were $6.6 billion. Learn more at www.averydennison.com. ABOUT YOUR ROLE: This role is responsible for managing HR data in various systems for multiple countries and ensure the data is maintained in a accurate, compliant and timely manner, responding reports or HR data analytics related requests or any queries associated with HR data from HR counterparts, employees and people managers, as well as continuous improvement of efficiency for data management processes through process optimization and technology. YOUR RESPONSIBILITIES WILL INCLUDE: 1. HR Data management Maintain employment and personal information in global HR information system (Oracle) and various local systems in multiple countries. Support employee lifecycle event processing (such as onboarding, offboarding, transfer, Contingent Worker management etc. ) through data and document management. 2.Data Integrity & Quality Assurance Conduct regular data audits to identify and resolve discrepancies, duplicates, or missing information within the HRIS. Partner with HR Solutions to ensure data integration correctly across downstream systems and resolves integration errors. Maintain a high standard of data hygiene to ensure data accuracy for payroll and audit purposes. 3.Report and data analytics Respond to reports or any data analytics r