Data Coordinator at Insight Global Data Coordinator at Insight Global in Arcadia, California Posted in about 6 hours ago.

Type:

full-time Our client is seeking a detail-oriented IT Data Coordinator to support a large-scale data and product information project within their IT organization. This role is ideal for someone who enjoys research, data entry, process-driven work, and ensuring information accuracy. You'll be responsible for researching products, gathering and organizing product images and information, and submitting records into internal systems while maintaining a high level of quality and data integrity. This is a 6-week contract with possibility for extension! Required Qualifications 1+ year of experience in data entry, administrative support, product research, document processing, or a related field Exceptional attention to detail and accuracy Strong internet research and information verification skills Experience working with Microsoft Outlook, Word, and Excel Ability to follow written procedures, naming conventions, and escalation processes Ability to work independently in a remote environment Preferred Qualifications Experience supporting high-volume data entry or product information projects Experience handling digital assets, images, or documentation records Familiarity with Jira or Agile project environments Associate degree or relevant college coursework preferred What You'll Do Research products using manufacturer websites and approved sources Validate product information including name, brand, form, strength, size, and related attributes Locate, download, and organize product packaging, label, and ingredient images Follow established naming conventions, documentation standards, and work instructions Review internal systems to avoid duplicate product submissions Create and submit product records using internal request workflows Upload supporting product images and verify completeness of submissions Track completed work, exceptions, and pending items in project trackers Escalate missing information, conflicting product data, duplicate records, or uncertain matches Maintain data quality standards and productivity goals throughout the project Adhere to SOPs, privacy requirements, and departmental procedures