Data Analyst | $52/hr | Remote

Data Analysts, Data Quality & Business Data Review Specialists. Remote AI Project
We are seeking experienced Data Analysts, Business Data Analysts, Data Quality Specialists, Data Reviewers, and Data Governance Professionals to support a high-impact AI training project focused on large-scale business data.
You will review, analyze, validate, and quality-check datasets and documents while ensuring strict adherence to privacy, security, and personally identifiable information (PII) requirements.
What You’ll Do
Review and analyze large business datasets
Validate data for accuracy, completeness, consistency, and relevance
Identify missing values, duplicate records, anomalies, and incorrect data
Review documents containing structured and unstructured business information
Apply strict data privacy and PII-handling requirements
Identify and flag sensitive or personally identifiable information
Perform data validation and quality assurance checks
Investigate data inconsistencies and determine likely root causes
Document data-quality issues clearly
Provide recommendations to improve data accuracy and integrity
Apply project-specific quality standards and review guidelines
Contribute to the improvement of QA processes, checklists, and evaluation criteria
Communicate findings clearly to project stakeholders
Maintain compliance with privacy, security, and data-handling requirements
Work independently in a remote, distributed project environment
Who Can Apply
Relevant backgrounds include:
Data Analysts, Senior Data Analysts, Business Data Analysts, Business Analysts, Data Quality Analysts, Data Quality Specialists, Data Review Analysts, Data Validation Analysts, Data Integrity Analysts, Data Operations Analysts, and Data Management Analysts.
We also welcome:
Quality Analysts, Quality Assurance Analysts, QA Analysts, Data QA Specialists, Data Auditors, Data Reviewers, Quality Reviewers, Quality Control Analysts, QC Analysts, and Data Accuracy Specialists.
Data governance and privacy backgrounds may include:
Data Governance Analysts, Data Governance Specialists, Data Privacy Analysts, Privacy Operations Specialists, Information Governance Analysts, Data Compliance Analysts, Data Stewardship Professionals, Data Stewards, and Information Management Specialists.
Business and operations backgrounds may include:
Operations Analysts, Business Operations Analysts, Process Analysts, Reporting Analysts, Research Analysts, Risk Analysts, Compliance Analysts, Audit Analysts, and Business Intelligence Analysts with strong data-review experience.
Document-review backgrounds may include:
Document Review Specialists, Document Analysts, Records Analysts, Information Management Specialists, Documentation Specialists, Compliance Reviewers, Audit Reviewers, and Quality Assurance Reviewers.
AI and evaluation backgrounds may include:
AI Data Analysts, AI Evaluators, Data Annotators, Data Labelers, Human Feedback Specialists, Model Evaluators, AI Quality Analysts, Annotation Quality Specialists, and Rubric Evaluators.
Relevant Data Analysis Experience
Strong candidates may have experience with:
Data cleaning
Data validation
Data reconciliation
Data profiling
Data auditing
Data quality assessment
Data integrity checks
Duplicate detection
Missing data analysis
Outlier detection
Anomaly detection
Data standardization
Data normalization
Data matching
Record linkage
Data enrichment
Data transformation
Data verification
Data classification
Data annotation
Data review
Dataset documentation
Quality-control workflows
Requirements
Professional experience in data analysis, data quality, document review, business analytics, data governance, QA, audit, or a closely related field
Demonstrated ability to work with large business datasets
Experience identifying data errors and inconsistencies
Strong attention to detail
Ability to review sensitive information carefully
Understanding of data privacy and PII-handling principles
Strong analytical and problem-solving skills
Ability to clearly document findings and recommendations
Strong written and verbal communication
Ability to follow detailed quality and privacy guidelines
Comfortable working independently in a remote environment
Consistent and reliable delivery of high-quality work
Preferred Background
Experience working with personally identifiable information
Experience with sensitive or confidential business data
Experience conducting data audits
Experience with document review
Experience in data quality assurance
Experience with privacy compliance or data governance
Experience building or applying data-quality standards
Experience reviewing work produced by other analysts
Experience using Excel, SQL, Python, Tableau, or Power BI
Experience with CRM, finance, operations, or customer datasets
Experience creating SOPs, checklists, or QA processes
This opportunity is ideal for professionals who can look at a large dataset or collection of documents and quickly identify what is missing, inconsistent, inaccurate, sensitive, or potentially risky, then document the issue clearly and help improve overall data quality. We are a referral partner of the client.

Work arrangement
Yes