Data Coordinator

Location: Darien, CT 06820

Pay Rate: $30.00/hr

Job Title: Data Coordinator

Job Overview: We are seeking a detail-oriented Data Coordinator to support data collection, organization, documentation, reporting, and process improvement for R&D and Product Lifecycle Management teams.

Equal Opportunity Employer / Disabled / Protected Veterans

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For temporary assignments lasting 13 weeks or longer, AppleOne is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.

We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.

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We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Additional Skills

Key Responsibilities

Collect, review, organize, and maintain technical and regulatory data.

Track and update raw material information and outstanding documentation.

Maintain accurate Excel trackers, reports, and databases.

Coordinate with suppliers and internal teams to obtain and validate data.

Identify data gaps, discrepancies, and opportunities for process improvement.

Support implementation of new software and digital tools.

Assist with process documentation, mapping, and training materials.

Qualifications

Advanced Microsoft Excel skills, including formulas, reporting, and data organization.
Strong data management and organizational skills.
Excellent attention to detail and accuracy.
Ability to quickly learn new software and systems.
Strong communication and problem-solving skills.
Proactive and process-oriented mindset.
Science or Engineering background is preferred.