Data Verification Specialist

The Data Verification Specialist is responsible for determining whether recorded information is trustworthy, complete, and consistent with its original source. This position focuses on examining existing records rather than simply entering information, with particular attention to discrepancies that may affect the reliability of business data.

Key Responsibilities

• Compare digital records with supporting documents or reference sources.
• Investigate differences between multiple versions of the same information.
• Identify incorrect, outdated, duplicated, or questionable entries.
• Confirm that required information meets predefined validation criteria.
• Mark records that require correction, additional evidence, or further review.
• Maintain verification notes when an entry cannot be immediately confirmed.
• Recheck amended records before they are treated as verified.
• Separate confirmed information from records that remain unresolved.
• Communicate significant discrepancies to the responsible team member.
• Follow verification procedures consistently across assigned datasets.

  Verification Skills

• Strong ability to notice small differences in names, numbers, dates, and other details.
• Careful reading and comparison skills.
• Logical approach to resolving conflicting information.
• Familiarity with spreadsheets, databases, and digital documentation.
• Ability to distinguish confirmed information from assumptions.
• Good judgment when deciding whether a record requires escalation.
  Quality Standards
• Every reviewed record should receive an appropriate verification outcome
• based on the available evidence. Uncertain information should never be
• treated as confirmed without sufficient support. Accuracy, consistency,
• and traceability are key measures of performance in this role.

Ideal Candidate
The ideal candidate is naturally investigative, patient, and highly attentive to detail. They should enjoy checking information thoroughly and be comfortable questioning inconsistencies instead of overlooking them.