Data Quality Administration Clerk

HRS Talent Solutions; Dallas (TX); Remote; USD 35,000 - 38,000; Part time

Job summary

HRS Talent Solutions is seeking a Data Quality Administration Clerk for a remote, part-time role. You will review online rows against source documents, enter values when allowed, and prepare a precise gap list for resolution. Office accuracy and careful data handling are essential.

You will avoid inventing data, follow field guides, and keep private information secure. The position emphasizes meticulous records management and good judgment when sources differ.

Qualifications

• Review assigned online rows for required fields.
• Enter a supported correction within your permissions.
• Mark inapplicable fields only under the provided rule.
• Flag conflicting or unavailable information.

Responsibilities

• Review assigned online rows for required fields.
• Compare blank values with approved source material.
• Enter a supported correction within your permissions.
• Mark inapplicable fields only under the provided rule.

Skills

Spreadsheets

Data entry

Attention to detail

Job description

Data Quality Administration Clerk

An empty field in a customer record does not always mean somebody forgot to type. This remote job reviews assigned online rows against the available source documents, enters values when the employer’s rules permit, and prepares a precise list of gaps for someone else to resolve. Office administration accuracy is central, while customer service benefits from records that do not mislead the next person. You will never invent a date, number or contact detail to make a sheet look finished.

Remote | Part-time | $25.35 - $27.60 per hour

Customer data should be checked from a private home office or similarly protected computer workspace.

Blank can mean different things

A field might be empty because the source did not contain the information, because an import failed, or because the item does not apply. Follow the employer's field guide before changing it. If the correct value is present in an approved source, enter it where your access allows and note what you used. If two sources disagree, preserve both references and flag the record for a decision. Do not copy a value from a similar row just because the pattern seems obvious.

The work may arrive in batches. Mark the rows checked, separate confirmed corrections from unresolved gaps, and keep private details within the assigned system. A source owner should be able to review the exception list without searching through every row again. If a missing field affects an active customer request, use the team escalation route rather than waiting until the batch is finished.

Leave a gap visible when there is no source

One source might omit a phone number because the person did not provide one; another may contain it in an attachment that was not linked correctly. Check the assigned source before treating the two cases alike. Where a field truly has no source, record that fact and leave it for the owner. If a permitted correction is made, note which document supports it. Watch for apparent duplicates: two similar entries can refer to separate requests. The completed batch should show which rows were verified, which were corrected under instruction and which still need a decision.

What you may do

• Review assigned online rows for required fields.
• Compare blank values with approved source material.
• Enter a supported correction within your permissions.
• Mark inapplicable fields only under the provided rule.
• Flag conflicting or unavailable information.
• Keep a concise list of unresolved records and sources.
• Recheck a corrected row after saving.

Customer service or office administration experience helps but is not required. The employer will train beginners on its data fields, sources, and privacy rules. You should be comfortable with spreadsheets and honest about a value you cannot verify.

A gap is not always an error

• The source genuinely did not collect the field.
• The field is not applicable to the record type.
• A migration omitted an otherwise available value.
• Two source files contain conflicting values.
• A required field was left blank on an online form.
• The record belongs to a different customer or service.

Compare each situation with the employer's field definitions. Do not mark a value “N/A” unless that status is permitted. A blank field may be an important signal that the team still needs to ask a person for information. If a correction affects a customer-facing status, refer it through the team's process. A batch summary can show how many rows were corrected from a source, how many were inapplicable under a rule, and how many still need an owner. That is more useful than a single total of “fixed” entries.

A missing value can also affect a standard report that relies on the field. If the team supplies a priority rule, flag those active records first. Do not change the report formula yourself. The data owner can decide whether a correction should be made in the source system, the imported sheet, or both. Your clear note makes that decision easier.