Data Administration Assistant – Import Exceptions

Hrstalentsolutions; Northwestern Ontario; Remote; CAD 66,000 - 69,000; Full time

Job summary

Hrstalentsolutions is seeking a Data Administration Assistant – Import Exceptions to join our remote office administration team. You will review import error lists, compare against source records, and apply permitted corrections in a controlled workflow.

This full-time role suits detail-oriented individuals with strong data accuracy, a knack for documenting changes, and comfort with online spreadsheets. No programming is required; training will be provided.

Qualifications

• Experience with data-entry or records management is preferred.
• Customer service experience can help you remember that a record may represent a real person's request.
• Comfort with online spreadsheets and documenting exception notes.

Responsibilities

• Review assigned import errors in a web-based system.
• Match a rejected row to the correct approved source.
• Check field formats and required values under a supplied guide.
• Correct permitted formatting errors without inventing facts.
• Flag missing or conflicting source data.
• Track which rows were corrected, deferred, or referred.
• Keep source files and personal data in approved storage.
• Identify rows awaiting a second review.
• Confirm the result through the authorized import process.

Job description

Data Administration Assistant – Import Exceptions

Office Administration | Import Exception Records | Remote
Full-time
Pay: 65,520–68,640 per year

The remote schedule can be full-time. A private home office or another focused setting helps with detailed records. The hiring company will confirm system access and hours.

An online system imports a file of approved records, but some rows fail because a required field is missing or formatted incorrectly. The Data Administration Assistant – Import Exceptions reviews that error list, compares each flagged row with its source, and makes permitted corrections or routes uncertain cases. This is remote office administration in a records workflow. You will not run an uncontrolled import or invent data to make a row pass.

An error message is a clue

“Invalid date” might mean the source uses a different format, or it might mean the date itself is missing. Check the employer's field guide and original record before editing. If the source contains an impossible value, flag it for the data owner. When several rows fail for the same reason, report the pattern rather than repeating a risky workaround. Keep the original file and corrected version linked under the employer's rules so the team can see what changed.

Customer service experience can help you remember that a record may represent a real person's request or order. Office administration provides the careful comparison and documentation. A correction is complete only when the authorized process accepts it or the owner confirms the next action. Do not mark a row resolved simply because you changed a value in a working spreadsheet.

A rejected row may show a date in the wrong format, a missing identifier or a value that conflicts with an allowed category. Record the system's actual error and compare it with the approved source file before suggesting a correction. Avoid overwriting a valid customer record to make the import pass. Where the original source is unclear, send the exception to its owner with the row reference and question. After an authorized fix, note which batch was reprocessed and whether the error cleared. The trail matters as much as getting the data into the system.

Routine tasks

• Review assigned import errors in a web-based system.
• Match a rejected row to the correct approved source.
• Check field formats and required values under a supplied guide.
• Correct permitted formatting errors without inventing facts.
• Flag missing or conflicting source data.
• Track which rows were corrected, deferred, or referred.
• Keep source files and personal data in approved storage.

Prior data-import work is not required. Customer service or office administration background is relevant, and the employer will train a beginner on its fields, tools, and permissions. You should be comfortable with online spreadsheets, accurate comparison, and concise exception notes. Technical scripting is not expected.

Common exceptions in a file

• A date has the wrong format but a clear source value.
• A required field is genuinely absent.
• An identifier points to a different record.
• A value exceeds the allowed field length.
• Two columns appear to have been swapped.
• A row was rejected after another field was corrected.

A reliable correction trail

• Keep the original source available.
• Note which field was changed and why.
• Use the employer's approved format guide.
• Leave unsupported data blank and referred.
• Identify rows awaiting a second review.
• Confirm the result through the authorized import process.

If an error affects many records, flag the pattern before editing every row by hand. The data owner may need to correct the source or import rule. A batch marked complete should mean its accepted and unresolved rows are both accounted for.

An import may reject a row for two reasons at once. After correcting one supported field, check whether the other error remains. Do not copy a value from a nearby row just because the pattern looks obvious. A single misplaced account number can affect a different customer. You may work from a reviewed exception export while another colleague handles the import itself. Keep your corrections traceable and return the file or task through the designated channel rather than attempting an unauthorized upload.

For consideration

Show how you found and corrected an error in a list while preserving the source information. Examples from a school project or another job can work.

An example of reconciling a rejected row with a source sheet is relevant. Explain how you avoided changing a field that had not been verified. You do not need programming experience. Should you proceed, the hiring company may ask for an additional application on its website. The data team will explain its import process and training.