Data Entry Clerk

Vertage

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.

Requirements & Tech Stack

• 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.

Qualifications

• High school diploma or equivalent required.

Preferred experience includes data entry, spreadsheet cleanup, administrative data processing, laboratory data, technical records, or quality documentation, but is not required.