{"schemaVersion":"jobsearcher.job.v1","id":"9f9711b9b3c3442def3ddd8a","url":"https://jobsearcher.com/jobs/9f9711b9b3c3442def3ddd8a","canonicalUrl":"https://jobsearcher.com/jobs/9f9711b9b3c3442def3ddd8a","title":"Data Specialist","description":"Data Specialist/AnalystCharlotte, NCHybrid: 3 days a week, 1 day remote$65-$70/hour - depending on Experience** Must be local to Charlotte, NC, not open to relocation at this time**No able to work c2c or provide sponsorship at this timeJob SummaryWe are seeking an Data Analytics Specialist to support the design, build, and modernization of our enterprise data warehouse. This role will work handson in Amazon Redshift, performing data modeling, SQL development, and data validation, while also partnering closely with Data Engineers to define clear, actionable pipeline specifications.The ideal candidate brings strong SQL and database expertise, experience analyzing legacy SQL Server environments, and the ability to perform data cleanup and reconciliation during platform conversions. This role sits at the intersection of analytics, data engineering, and technical analysis, requiring both execution and documentation skills.Key ResponsibilitiesData Modeling & Warehouse DevelopmentDesign and implement dimensional data models (fact and dimension tables) in Amazon RedshiftBuild and maintain curated analytics datasets to support reporting and downstream consumptionApply data warehousing best practices (star/snowflake schemas, SCD patterns, conformed dimensions)Write, optimize, and maintain complex SQL transformations in RedshiftCurrent State Analysis & Data ConversionAnalyze existing SQL Server databases to understand currentstate schemas, relationships, and data usagePerform data profiling, cleanup, and remediation during data warehouse migration/conversion effortsIdentify data quality issues (duplicates, nulls, type mismatches, integrity gaps) and define resolution logicReconcile source and target datasets to validate accuracy and completenessData Engineering Collaboration & SpecificationsTranslate business and analytical requirements into technical specifications for data pipelines, including:sourcetotarget mappingstransformation logicdata quality and validation rulesacceptance criteria and edge casesPartner with Data Engineers during backlog refinement and implementationSupport testing, validation, and production readiness of data pipelinesDocumentation & Stakeholder CollaborationCreate and maintain data models, data dictionaries, and transformation documentationCommunicate effectively with technical and nontechnical stakeholdersAct as a bridge between business, analytics, and engineering teamsRequired Qualifications4–7 years of experience in analytics engineering, data warehousing, or a related technical data roleStrong handson experience with Amazon Redshift or similar cloud data warehousesAdvanced proficiency in SQL, including complex joins, window functions, aggregations, and performance tuningExperience working with SQL Server and relational databases in legacy or migration scenariosSolid understanding of data modeling and data warehousing conceptsExperience collaborating with data engineering teams and supporting ETL/ELT pipelinesStrong analytical thinking and problemsolving skillsAbility to document technical logic clearly and conciselyPreferred / NicetoHave SkillsExperience supporting data warehouse modernization or migration projectsFamiliarity with AWS data services (Glue, S3, Lambda, dbt, Airflow, etc.)Exposure to data quality frameworks and reconciliation techniquesExperience working in Agile/Scrum delivery modelsKnowledge of BI and analytics tools (Tableau, Power BI, Looker, QuickSight)What Success Looks LikeRedshift data models are welldesigned, performant, and aligned with business needsSQL Server legacy data is accurately analyzed, cleaned, and migratedData engineering teams receive clear, complete, and implementationready specificationsStakeholders trust the data produced and understand how it is derived","company":"Brooksource","rawCompany":"brooksource","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-04-12T19:01:42.879Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Specialist","description":"Data Specialist/AnalystCharlotte, NCHybrid: 3 days a week, 1 day remote$65-$70/hour - depending on Experience** Must be local to Charlotte, NC, not open to relocation at this time**No able to work c2c or provide sponsorship at this timeJob SummaryWe are seeking an Data Analytics Specialist to support the design, build, and modernization of our enterprise data warehouse. This role will work handson in Amazon Redshift, performing data modeling, SQL development, and data validation, while also partnering closely with Data Engineers to define clear, actionable pipeline specifications.The ideal candidate brings strong SQL and database expertise, experience analyzing legacy SQL Server environments, and the ability to perform data cleanup and reconciliation during platform conversions. This role sits at the intersection of analytics, data engineering, and technical analysis, requiring both execution and documentation skills.Key ResponsibilitiesData Modeling & Warehouse DevelopmentDesign and implement dimensional data models (fact and dimension tables) in Amazon RedshiftBuild and maintain curated analytics datasets to support reporting and downstream consumptionApply data warehousing best practices (star/snowflake schemas, SCD patterns, conformed dimensions)Write, optimize, and maintain complex SQL transformations in RedshiftCurrent State Analysis & Data ConversionAnalyze existing SQL Server databases to understand currentstate schemas, relationships, and data usagePerform data profiling, cleanup, and remediation during data warehouse migration/conversion effortsIdentify data quality issues (duplicates, nulls, type mismatches, integrity gaps) and define resolution logicReconcile source and target datasets to validate accuracy and completenessData Engineering Collaboration & SpecificationsTranslate business and analytical requirements into technical specifications for data pipelines, including:sourcetotarget mappingstransformation logicdata quality and validation rulesacceptance criteria and edge casesPartner with Data Engineers during backlog refinement and implementationSupport testing, validation, and production readiness of data pipelinesDocumentation & Stakeholder CollaborationCreate and maintain data models, data dictionaries, and transformation documentationCommunicate effectively with technical and nontechnical stakeholdersAct as a bridge between business, analytics, and engineering teamsRequired Qualifications4–7 years of experience in analytics engineering, data warehousing, or a related technical data roleStrong handson experience with Amazon Redshift or similar cloud data warehousesAdvanced proficiency in SQL, including complex joins, window functions, aggregations, and performance tuningExperience working with SQL Server and relational databases in legacy or migration scenariosSolid understanding of data modeling and data warehousing conceptsExperience collaborating with data engineering teams and supporting ETL/ELT pipelinesStrong analytical thinking and problemsolving skillsAbility to document technical logic clearly and conciselyPreferred / NicetoHave SkillsExperience supporting data warehouse modernization or migration projectsFamiliarity with AWS data services (Glue, S3, Lambda, dbt, Airflow, etc.)Exposure to data quality frameworks and reconciliation techniquesExperience working in Agile/Scrum delivery modelsKnowledge of BI and analytics tools (Tableau, Power BI, Looker, QuickSight)What Success Looks LikeRedshift data models are welldesigned, performant, and aligned with business needsSQL Server legacy data is accurately analyzed, cleaned, and migratedData engineering teams receive clear, complete, and implementationready specificationsStakeholders trust the data produced and understand how it is derived","datePosted":"2026-04-12T19:01:42.879Z","dateModified":"2026-04-12T19:01:42.879Z","hiringOrganization":{"@type":"Organization","name":"Brooksource","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9f9711b9b3c3442def3ddd8a"},"url":"https://jobsearcher.com/jobs/9f9711b9b3c3442def3ddd8a"}}