{"schemaVersion":"jobsearcher.job.v1","id":"d4e135c727c3b9b92abdbab9","url":"https://jobsearcher.com/jobs/d4e135c727c3b9b92abdbab9","canonicalUrl":"https://jobsearcher.com/jobs/d4e135c727c3b9b92abdbab9","title":"Sr Data Analyst","description":"Sr Data Analyst\nJob Category: Choice - CX\nRequisition Number: SRDAT001313\n\nPosting Details\nPosted: March 30, 2026\nFull-Time\nRemote\nLocations\nRemote\nRemote, USA\n\nJob Details\nDescription\nJob Summary\nmPulse is seeking a Senior Data Analyst to support large-scale healthcare data migration initiatives from legacy systems to AWS cloud environments. This role is responsible for leading data analysis, mapping, validation, and quality assurance efforts to ensure secure, accurate, and compliant migration of healthcare data.\nThe ideal candidate will bring deep expertise in healthcare datasets, strong SQL and AWS knowledge, and experience working with PHI/PII in regulated environments. This role partners closely with cloud engineering, product, and compliance teams to support modernization and data transformation initiatives.\nDuties/Responsibilities\nLead end-to-end data analysis for healthcare data migration from legacy systems to AWS cloud environments\nPerform data discovery, profiling, and gap analysis across clinical, claims, provider, and patient datasets\nDevelop source-to-target mapping documentation and transformation rules for migration pipelines\nCollaborate with AWS engineering teams to design and validate migration workflows\nValidate data extraction and ensure secure transfer of PHI/PII into cloud environments\nConduct pre-migration, in-flight, and post-migration validation to ensure data integrity and completeness\nAnalyze healthcare datasets including EHR/EMR, claims, billing, eligibility, and provider data\nInterpret and apply healthcare data standards (HL7, FHIR, ICD-10, CPT, LOINC, SNOMED)\nDefine and implement data quality rules, validation checks, and governance standards\nIdentify data anomalies and recommend cleansing or remediation strategies\nWrite complex SQL queries for reconciliation, validation, and exception handling\nSupport ETL/ELT pipeline validation and troubleshooting\nDevelop dashboards and reporting (Power BI/Tableau) for migration tracking and data quality metrics\nMaintain comprehensive documentation including data dictionaries, lineage, and migration playbooks\nCollaborate with cross-functional teams and communicate risks, progress, and mitigation strategies\nParticipate in UAT and support end-user validation\nSkills/Abilities/Experience\nStrong expertise in healthcare data migration and legacy-to-cloud transitions\nAdvanced SQL skills (SQL Server, Oracle, PostgreSQL, or similar)\nExperience with AWS data services (S3, Redshift, RDS, Glue, Lambda, DMS, EMR)\nKnowledge of healthcare standards (HL7, FHIR, ICD-10, CPT, HCPCS, LOINC, SNOMED)\nExperience working with PHI/PII under HIPAA/HITECH compliance\nExperience with ETL/ELT tools (Informatica, SSIS, Talend, ADF, AWS Glue)\nFamiliarity with AWS analytics stack (Athena, Lake Formation, Redshift Spectrum)\nExperience building or supporting data lakes or cloud data warehouses\nStrong analytical and problem-solving skills\nExcellent communication skills across technical and business stakeholders\nStrong attention to detail, documentation, and organizational skills\nAbility to manage multiple priorities in a fast-paced environment\nMinimum Qualifications\nBachelor’s degree in Computer Science, Health Informatics, Data Analytics, or related field\n10+ years of experience in data analysis or senior data analyst roles\nHands-on experience with healthcare data migration projects\nStrong knowledge of AWS cloud environments and data tools\nExperience ensuring compliance with HIPAA/HITECH and data governance standards\nPreferred\nExperience with EHR/EMR platforms (Epic, Cerner, Meditech, Allscripts, etc.)\nExperience with payer systems (Facets, QNXT, HealthEdge, TriZetto)\nAWS or healthcare data certifications (AWS Data Analytics, Solutions Architect, CHDA, etc.)\nExperience working in Agile environments\nPhysical Requirements:\nAbility to stand and sit for extended period of time.\nAbility to lift 10 lbs. weight.\nEqual Opportunity Employer\nThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.","company":"Mpulse Mobile","rawCompany":"mpulse mobile","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-07-15T15:04:21.617Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.02","title":"Clinical Data Managers","slug":"clinical-data-managers"},{"code":"15-1211.01","title":"Health Informatics Specialists","slug":"health-informatics-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Data Analyst","description":"Sr Data Analyst\nJob Category: Choice - CX\nRequisition Number: SRDAT001313\n\nPosting Details\nPosted: March 30, 2026\nFull-Time\nRemote\nLocations\nRemote\nRemote, USA\n\nJob Details\nDescription\nJob Summary\nmPulse is seeking a Senior Data Analyst to support large-scale healthcare data migration initiatives from legacy systems to AWS cloud environments. This role is responsible for leading data analysis, mapping, validation, and quality assurance efforts to ensure secure, accurate, and compliant migration of healthcare data.\nThe ideal candidate will bring deep expertise in healthcare datasets, strong SQL and AWS knowledge, and experience working with PHI/PII in regulated environments. This role partners closely with cloud engineering, product, and compliance teams to support modernization and data transformation initiatives.\nDuties/Responsibilities\nLead end-to-end data analysis for healthcare data migration from legacy systems to AWS cloud environments\nPerform data discovery, profiling, and gap analysis across clinical, claims, provider, and patient datasets\nDevelop source-to-target mapping documentation and transformation rules for migration pipelines\nCollaborate with AWS engineering teams to design and validate migration workflows\nValidate data extraction and ensure secure transfer of PHI/PII into cloud environments\nConduct pre-migration, in-flight, and post-migration validation to ensure data integrity and completeness\nAnalyze healthcare datasets including EHR/EMR, claims, billing, eligibility, and provider data\nInterpret and apply healthcare data standards (HL7, FHIR, ICD-10, CPT, LOINC, SNOMED)\nDefine and implement data quality rules, validation checks, and governance standards\nIdentify data anomalies and recommend cleansing or remediation strategies\nWrite complex SQL queries for reconciliation, validation, and exception handling\nSupport ETL/ELT pipeline validation and troubleshooting\nDevelop dashboards and reporting (Power BI/Tableau) for migration tracking and data quality metrics\nMaintain comprehensive documentation including data dictionaries, lineage, and migration playbooks\nCollaborate with cross-functional teams and communicate risks, progress, and mitigation strategies\nParticipate in UAT and support end-user validation\nSkills/Abilities/Experience\nStrong expertise in healthcare data migration and legacy-to-cloud transitions\nAdvanced SQL skills (SQL Server, Oracle, PostgreSQL, or similar)\nExperience with AWS data services (S3, Redshift, RDS, Glue, Lambda, DMS, EMR)\nKnowledge of healthcare standards (HL7, FHIR, ICD-10, CPT, HCPCS, LOINC, SNOMED)\nExperience working with PHI/PII under HIPAA/HITECH compliance\nExperience with ETL/ELT tools (Informatica, SSIS, Talend, ADF, AWS Glue)\nFamiliarity with AWS analytics stack (Athena, Lake Formation, Redshift Spectrum)\nExperience building or supporting data lakes or cloud data warehouses\nStrong analytical and problem-solving skills\nExcellent communication skills across technical and business stakeholders\nStrong attention to detail, documentation, and organizational skills\nAbility to manage multiple priorities in a fast-paced environment\nMinimum Qualifications\nBachelor’s degree in Computer Science, Health Informatics, Data Analytics, or related field\n10+ years of experience in data analysis or senior data analyst roles\nHands-on experience with healthcare data migration projects\nStrong knowledge of AWS cloud environments and data tools\nExperience ensuring compliance with HIPAA/HITECH and data governance standards\nPreferred\nExperience with EHR/EMR platforms (Epic, Cerner, Meditech, Allscripts, etc.)\nExperience with payer systems (Facets, QNXT, HealthEdge, TriZetto)\nAWS or healthcare data certifications (AWS Data Analytics, Solutions Architect, CHDA, etc.)\nExperience working in Agile environments\nPhysical Requirements:\nAbility to stand and sit for extended period of time.\nAbility to lift 10 lbs. weight.\nEqual Opportunity Employer\nThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.","datePosted":"2026-07-15T15:04:21.617Z","dateModified":"2026-07-15T15:04:21.617Z","hiringOrganization":{"@type":"Organization","name":"Mpulse Mobile","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d4e135c727c3b9b92abdbab9"},"url":"https://jobsearcher.com/jobs/d4e135c727c3b9b92abdbab9"}}