Data Analyst | €50/hr | Remote
h3Data Analysts, Data Quality Business Data Review Specialists. Remote AI Project /h3 pWe 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. /p pYou will review, analyze, validate, and quality-check datasets and documents while ensuring strict adherence to privacy, security, and personally identifiable information (PII) requirements. /p h3What You’ll Do /h3 ulliReview and analyze large business datasets /liliValidate data for accuracy, completeness, consistency, and relevance /liliIdentify missing values, duplicate records, anomalies, and incorrect data /liliReview documents containing structured and unstructured business information /liliApply strict data privacy and PII-handling requirements /liliIdentify and flag sensitive or personally identifiable information /liliPerform data validation and quality assurance checks /liliInvestigate data inconsistencies and determine likely root causes /liliDocument data-quality issues clearly /liliProvide recommendations to improve data accuracy and integrity /liliApply project-specific quality standards and review guidelines /liliContribute to the improvement of QA processes, checklists, and evaluation criteria /liliCommunicate findings clearly to project stakeholders /liliMaintain compliance with privacy, security, and data-handling requirements /liliWork independently in a remote, distributed project environment /li /ul h3Who Can Apply /h3 h3Relevant backgrounds include: /h3 pData 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. /p h3We also welcome: /h3 pQuality Analysts, Quality Assurance Analysts,
QA Analysts, Data QA Specialists, Data Auditors, Data Reviewers, Quality Reviewers, Quality Control Analysts, QC Analysts, and Data Accuracy Specialists. /p h3Data governance and privacy backgrounds may include: /h3 pData 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. /p h3Business and operations backgrounds may include: /h3 pOperations 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. /p h3Document-review backgrounds may include: /h3 pDocument Review Specialists, Document Analysts, Records Analysts, Information Management Specialists, Documentation Specialists, Compliance Reviewers, Audit Reviewers, and Quality Assurance Reviewers. /p h3AI and evaluation backgrounds may include: /h3 pAI Data Analysts, AI Evaluators, Data Annotators, Data Labelers, Human Feedback Specialists, Model Evaluators, AI Quality Analysts, Annotation Quality Specialists, and Rubric Evaluators. /p h3Relevant Data Analysis Experience /h3 h3Strong candidates may have experience with:
/h3 ulliData cleaning /liliData validation /liliData profiling /liliData quality assessment /liliData integrity checks /liliAnomaly detection /liliData matching /liliRecord linkage /liliData transformation /liliData verification /liliData classification /liliData annotation /liliData review /li /ul h3Requirements /h3 ulliProfessional experience in data analysis, data quality, document review, business analytics, data governance, QA, audit, or a closely related field /liliDemonstrated ability to work with large business datasets /liliExperience identifying data errors and inconsistencies /liliStrong attention to detail /liliAbility to review sensitive information carefully /liliUnderstanding of data privacy and PII-handling principles /liliStrong analytical and problem-solving skills /liliAbility to clearly document findings and recommendations /liliStrong written and verbal communication /liliAbility to follow detailed quality and privacy guidelines /liliComfortable working independently in a remote environment /liliConsistent and reliable delivery of high-quality work /li /ul h3Preferred Background /h3 ulliExperience working with personally identifiable information /liliExperience with sensitive or confidential business data /liliExperience with document review /liliExperience in data quality assurance /liliExperience with privacy compliance or data governance /liliExperience building or applying data-quality standards /liliExperience reviewing work produced by other analysts /liliExperience using Excel, SQL, Python, Tableau, or Power BI /liliExperience with CRM, finance, operations, or customer datasets /liliExperience creating SOPs, checklists, or QA processes /li /ul pThis 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. /p #J-18808-Ljbffr
QA Analysts, Data QA Specialists, Data Auditors, Data Reviewers, Quality Reviewers, Quality Control Analysts, QC Analysts, and Data Accuracy Specialists. /p h3Data governance and privacy backgrounds may include: /h3 pData 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. /p h3Business and operations backgrounds may include: /h3 pOperations 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. /p h3Document-review backgrounds may include: /h3 pDocument Review Specialists, Document Analysts, Records Analysts, Information Management Specialists, Documentation Specialists, Compliance Reviewers, Audit Reviewers, and Quality Assurance Reviewers. /p h3AI and evaluation backgrounds may include: /h3 pAI Data Analysts, AI Evaluators, Data Annotators, Data Labelers, Human Feedback Specialists, Model Evaluators, AI Quality Analysts, Annotation Quality Specialists, and Rubric Evaluators. /p h3Relevant Data Analysis Experience /h3 h3Strong candidates may have experience with:
/h3 ulliData cleaning /liliData validation /liliData profiling /liliData quality assessment /liliData integrity checks /liliAnomaly detection /liliData matching /liliRecord linkage /liliData transformation /liliData verification /liliData classification /liliData annotation /liliData review /li /ul h3Requirements /h3 ulliProfessional experience in data analysis, data quality, document review, business analytics, data governance, QA, audit, or a closely related field /liliDemonstrated ability to work with large business datasets /liliExperience identifying data errors and inconsistencies /liliStrong attention to detail /liliAbility to review sensitive information carefully /liliUnderstanding of data privacy and PII-handling principles /liliStrong analytical and problem-solving skills /liliAbility to clearly document findings and recommendations /liliStrong written and verbal communication /liliAbility to follow detailed quality and privacy guidelines /liliComfortable working independently in a remote environment /liliConsistent and reliable delivery of high-quality work /li /ul h3Preferred Background /h3 ulliExperience working with personally identifiable information /liliExperience with sensitive or confidential business data /liliExperience with document review /liliExperience in data quality assurance /liliExperience with privacy compliance or data governance /liliExperience building or applying data-quality standards /liliExperience reviewing work produced by other analysts /liliExperience using Excel, SQL, Python, Tableau, or Power BI /liliExperience with CRM, finance, operations, or customer datasets /liliExperience creating SOPs, checklists, or QA processes /li /ul pThis 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. /p #J-18808-Ljbffr