Data Analyst | $45/Hr | Remote

Data Analysts, Data Quality & Business Data Review Specialists. Remote AI ProjectWe 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 DoReview and analyze large business datasetsValidate data for accuracy, completeness, consistency, and relevanceIdentify missing values, duplicate records, anomalies, and incorrect dataReview documents containing structured and unstructured business informationApply strict data privacy and PII-handling requirementsIdentify and flag sensitive or personally identifiable informationPerform data validation and quality assurance checksInvestigate data inconsistencies and determine likely root causesDocument data-quality issues clearlyProvide recommendations to improve data accuracy and integrityApply project-specific quality standards and review guidelinesContribute to the improvement of QA processes, checklists, and evaluation criteriaCommunicate findings clearly to project stakeholdersMaintain compliance with privacy, security, and data-handling requirementsWork independently in a remote, distributed project environmentWho Can ApplyRelevant 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 ExperienceStrong candidates may have experience with:Data cleaningData validationData profilingData quality assessmentData integrity checksAnomaly detectionData matchingRecord linkageData transformationData verificationData classificationData annotationData reviewRequirementsProfessional experience in data analysis, data quality, document review, business analytics, data governance, QA, audit, or a closely related fieldDemonstrated ability to work with large business datasetsExperience identifying data errors and inconsistenciesStrong attention to detailAbility to review sensitive information carefullyUnderstanding of data privacy and PII-handling principlesStrong analytical and problem-solving skillsAbility to clearly document findings and recommendationsStrong written and verbal communicationAbility to follow detailed quality and privacy guidelinesComfortable working independently in a remote environmentConsistent and reliable delivery of high-quality workPreferred BackgroundExperience working with personally identifiable informationExperience with sensitive or confidential business dataExperience with document reviewExperience in data quality assuranceExperience with privacy compliance or data governanceExperience building or applying data-quality standardsExperience reviewing work produced by other analystsExperience using Excel, SQL, Python, Tableau, or Power BIExperience with CRM, finance, operations, or customer datasetsExperience creating SOPs, checklists, or QA processesThis 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.#J-*****-Ljbffr

Data cleaning Data validation Data profiling Data quality assessment Data integrity checks Anomaly detection Data matching Record linkage Data transformation Data verification Data classification Data annotation Data review 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 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.