Data Entry Clerk

Position Summary

Key Responsibilities

Manually transfer data from existing Excel sheets into a newer, more organized data format.

Review source files carefully to locate relevant lab results, performance data, formula details, technical notes, and related information.

Enter, copy, and restructure data accurately while following project-specific formatting and naming guidance.

Check transferred information for completeness, consistency, and obvious errors before moving to the next data set.

Identify missing information, unclear entries, duplicate records, unusual values, or formatting issues and raise questions to the project team.

Maintain organized records of completed files, transferred data, open questions, and items requiring follow-up.

Work steadily through large volumes of data while balancing speed with accuracy.

Follow instructions from the project lead and apply feedback to improve transfer quality over time.

Handle technical and business information appropriately and comply with applicable security, safety, and workplace expectations.

Perform other duties as assigned.

Required Skills and Experience

Strong attention to detail and commitment to accurate data entry.

Working knowledge of Microsoft Excel, including navigating multiple worksheets, copying and pasting data, sorting/filtering information, and entering data into structured templates.

Ability to follow detailed instructions and apply consistent formatting rules across many records.

Comfort performing repetitive manual tasks for extended periods while maintaining focus and quality.

Ability to recognize when information looks incomplete, inconsistent, or unclear and ask appropriate questions.

Good organization, time management, and written communication skills.

Ability to work independently under moderate supervision while staying aligned with priorities and deadlines.

High school diploma or equivalent required.

Preferred Experience

Previous experience with data entry, spreadsheet cleanup, administrative data processing, laboratory data, technical records, or quality documentation is helpful but not required.