Data Quality Analyst — United States
Job Description
Review business datasets and AI analytical output for accuracy, privacy and consistency. Use explicit criteria to explain ambiguous cases and identify recurring defects rather than treating every error in isolation.
What you will do
• Check records and deliverables for completeness, instruction-following and internal consistency.
• Apply validation and reconciliation methods to analytical results.
• Identify PII in the authorised material and follow the specified handling rules.
• Document review decisions, escalate recurring issues and develop practical scoring criteria.
Required background
• For senior analytical review, a relevant bachelor’s degree or equivalent professional experience, plus at least three years analysing large business datasets.
• That work requires hands-on QA, validation/reconciliation and experience managing PII or sensitive data.
Preferred background
• For rubric-led data review, three to five or more years in data quality, QA or analytical work.
• Ability to work accurately through repetitive material and justify decisions where instructions are incomplete.
• Spreadsheet fluency; SQL, BI tools, advanced qualifications or prior model-evaluation work are useful.
Location and eligibility
• US-based contributors only.
Availability
• Remote; senior analytical review is part-time.
Pay and engagement
$32 • $84/hr
All amounts are in USD. The rate, task scope and schedule are agreed before work begins.