{"schemaVersion":"jobsearcher.job.v1","id":"b11014ddc7fb43efbbac88fd","url":"https://jobsearcher.com/jobs/b11014ddc7fb43efbbac88fd","canonicalUrl":"https://jobsearcher.com/jobs/b11014ddc7fb43efbbac88fd","title":"Data Analytics Engineer","description":"Collects, transforms, and validates data from diverse sources, applying professional analytical techniques to ensure accuracy and reliability.\nPerforms exploratory and descriptive analysis to identify trends, patterns, and key performance drivers for business stakeholders.\nDevelops and maintains reports, dashboards, and visualizations that communicate analytical findings in a clear and actionable manner.\nInterprets data requirements, collaborates with business partners, and applies professional judgment to structure analyses that meet defined objectives.\nDocuments analytical logic, data sources, and methodologies to support transparency, reproducibility, and continuous improvement.\nSupports cross-functional initiatives by providing data-driven insights and contributing to analytical problem-solving efforts.\nIdentifies and recommends opportunities to streamline analytical workflows, standardize reporting, or enhance data quality.\nBuilds proficiency in analytics tools, data modeling concepts, and best practices to expand analytical independence and effectiveness.\nRequirements Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business, or related discipline with 0-2 years of relevant experience.\nDemonstrated ability to collect, organize, and analyze data with attention to accuracy and detail.\nExperience preparing reports, dashboards, or visualizations using Excel or introductory business intelligence tools.\nBasic proficiency with SQL, Python, R, or comparable analytical tools.\nStrong critical thinking and problem-solving skills in a data-driven environment.\nAbility to communicate clearly with both technical and non-technical stakeholders.\nInterest in learning new data analysis techniques and technologies to support business insights.\nDemonstrated level of knowledge regarding applicable regulatory standards commensurate with the position's complexity and scope, contributing to organizational regulatory compliance.\nGMP quality management systems (e.g. ISO 13485)\nClinical laboratory regulations (e.g. CAP, CLIA, NYSDOH, ISO 15189)\nProtected health information (e.g. HIPAA, GDPR)\nOperations within the regulated medical device environment (e.g. IVDD, IVDR, FDA 21 CFR 800 series, FDA 21 CFR Part 11)\nDevelopment and Operations within a regulated clinical study environment (e.g. ICH E6 (GCP), ISO 20916, FDA 21 CFR Part 11, Part 50, Part 54, Part 56)\nStrong analytical and quantitative skills with the ability to interpret and communicate data findings clearly.\nProficiency with Excel and exposure to analytical tools such as SQL, Python, R, or Power BI/Tableau.\nBasic understanding of data structures, relational databases, and data visualization principles.\nCore Competencies Demonstrates strong analytical and quantitative skills, with proficiency in data collection, organization, and analysis. Capable of developing reports and visualizations using tools like Excel, SQL, and Python while ensuring compliance with regulatory standards in a clinical or medical device environment.\nHighest-signal resume keywords Data Collection and Analysis\nReport and Dashboard Development\nSQL Proficiency\nExcel Proficiency\nRegulatory Compliance Knowledge\nATS Optimization Keywords Hard Skills Data Analysis\nData Validation\nData Visualization\nSQL\nPython\nR\nExcel\nAnalytical Techniques\nData Modeling\nQuantitative Skills\nSoft Skills Critical Thinking\nProblem-Solving\nClear Communication\nIndustry Keywords GMP Quality Management Systems\nClinical Laboratory Regulations\nProtected Health Information\nRegulated Medical Device Environment\nClinical Study Environment\nTools & Technologies Power BI\nTableau\nBusiness Intelligence Tools\n\n#J-18808-Ljbffr","company":"Jobtailor","rawCompany":"jobtailor","city":"Durham","state":"NC","isRemote":false,"isActive":true,"createdAt":"2026-08-04T03:24:58.498Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Engineer","description":"Collects, transforms, and validates data from diverse sources, applying professional analytical techniques to ensure accuracy and reliability.\nPerforms exploratory and descriptive analysis to identify trends, patterns, and key performance drivers for business stakeholders.\nDevelops and maintains reports, dashboards, and visualizations that communicate analytical findings in a clear and actionable manner.\nInterprets data requirements, collaborates with business partners, and applies professional judgment to structure analyses that meet defined objectives.\nDocuments analytical logic, data sources, and methodologies to support transparency, reproducibility, and continuous improvement.\nSupports cross-functional initiatives by providing data-driven insights and contributing to analytical problem-solving efforts.\nIdentifies and recommends opportunities to streamline analytical workflows, standardize reporting, or enhance data quality.\nBuilds proficiency in analytics tools, data modeling concepts, and best practices to expand analytical independence and effectiveness.\nRequirements Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business, or related discipline with 0-2 years of relevant experience.\nDemonstrated ability to collect, organize, and analyze data with attention to accuracy and detail.\nExperience preparing reports, dashboards, or visualizations using Excel or introductory business intelligence tools.\nBasic proficiency with SQL, Python, R, or comparable analytical tools.\nStrong critical thinking and problem-solving skills in a data-driven environment.\nAbility to communicate clearly with both technical and non-technical stakeholders.\nInterest in learning new data analysis techniques and technologies to support business insights.\nDemonstrated level of knowledge regarding applicable regulatory standards commensurate with the position's complexity and scope, contributing to organizational regulatory compliance.\nGMP quality management systems (e.g. ISO 13485)\nClinical laboratory regulations (e.g. CAP, CLIA, NYSDOH, ISO 15189)\nProtected health information (e.g. HIPAA, GDPR)\nOperations within the regulated medical device environment (e.g. IVDD, IVDR, FDA 21 CFR 800 series, FDA 21 CFR Part 11)\nDevelopment and Operations within a regulated clinical study environment (e.g. ICH E6 (GCP), ISO 20916, FDA 21 CFR Part 11, Part 50, Part 54, Part 56)\nStrong analytical and quantitative skills with the ability to interpret and communicate data findings clearly.\nProficiency with Excel and exposure to analytical tools such as SQL, Python, R, or Power BI/Tableau.\nBasic understanding of data structures, relational databases, and data visualization principles.\nCore Competencies Demonstrates strong analytical and quantitative skills, with proficiency in data collection, organization, and analysis. Capable of developing reports and visualizations using tools like Excel, SQL, and Python while ensuring compliance with regulatory standards in a clinical or medical device environment.\nHighest-signal resume keywords Data Collection and Analysis\nReport and Dashboard Development\nSQL Proficiency\nExcel Proficiency\nRegulatory Compliance Knowledge\nATS Optimization Keywords Hard Skills Data Analysis\nData Validation\nData Visualization\nSQL\nPython\nR\nExcel\nAnalytical Techniques\nData Modeling\nQuantitative Skills\nSoft Skills Critical Thinking\nProblem-Solving\nClear Communication\nIndustry Keywords GMP Quality Management Systems\nClinical Laboratory Regulations\nProtected Health Information\nRegulated Medical Device Environment\nClinical Study Environment\nTools & Technologies Power BI\nTableau\nBusiness Intelligence Tools\n\n#J-18808-Ljbffr","datePosted":"2026-08-04T03:24:58.498Z","dateModified":"2026-08-04T03:24:58.498Z","hiringOrganization":{"@type":"Organization","name":"Jobtailor","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Durham","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b11014ddc7fb43efbbac88fd"},"url":"https://jobsearcher.com/jobs/b11014ddc7fb43efbbac88fd"}}