Data Review Analyst (Remote)

Crewlia; United States; Remote; USD 20,000 - 29,000; Full time

Job summary

Crewlia is seeking a Data Review Analyst for a remote role. You will review project records, explain underlying patterns behind data issues, and craft structured summaries showing discrepancies and their impact on evaluation use.

The position requires English communication, strong analytical ability, and reliable home-working setup. Experience in data review or quality evaluation is helpful but not required.

Qualifications

• Must be at least 18 years old and able to communicate in English.
• Ability to move between record-level checks and pattern-level data summaries.
• Ability to describe findings without overstating what the available examples prove.
• Reliable high-speed internet and a suitable home-working setup.
• Previous experience with data review, analytical reporting, or quality evaluation is helpful but not required.

Responsibilities

• Inspect individual records against the source, schema, and task-specific acceptance rules.
• Group related discrepancies by field, source, category, and likely impact on the intended task.
• Compare issue rates across supplied subsets without treating small differences as meaningful by default.
• Select representative examples that accurately illustrate each confirmed pattern.
• Write concise review summaries that separate observations, evidence, and unresolved questions.

Skills

Data review

Analytical reporting

English proficiency

Job description

• Role: Data Review Analyst (Remote)
• Location: Remote (Australia, Canada, Ireland, New Zealand, United Kingdom, United States)
• Pay: US$18 per hour

Applicants must currently reside in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States.

Overview

We are recruiting analytical contributors to review project records and explain the patterns behind data issues. You will combine item-level checks with structured summaries that show where discrepancies occur and how they affect evaluation use.

Key Responsibilities

• Inspect individual records against the source, schema, and task-specific acceptance rules.
• Group related discrepancies by field, source, category, and likely impact on the intended task.
• Compare issue rates across supplied subsets without treating small differences as meaningful by default.
• Select representative examples that accurately illustrate each confirmed pattern.
• Write concise review summaries that separate observations, evidence, and unresolved questions.

Requirements

• Must be at least 18 years old and able to communicate in English.
• Ability to move between record-level checks and pattern-level data summaries.
• Ability to describe findings without overstating what the available examples prove.
• Reliable high-speed internet and a suitable home-working setup.
• Previous experience with data review, analytical reporting, or quality evaluation is helpful but not required.

Equal Opportunity

We welcome applications from qualified individuals of all backgrounds. Applicants are considered based on relevant skills, qualifications and project eligibility requirements, without discrimination on grounds protected by applicable law.