{"schemaVersion":"jobsearcher.job.v1","id":"a4460dcb4e32171d2af5b20b","url":"https://jobsearcher.com/jobs/a4460dcb4e32171d2af5b20b","canonicalUrl":"https://jobsearcher.com/jobs/a4460dcb4e32171d2af5b20b","title":"Data Analyst","description":"Job Title: Data Analyst\nJob Location: Remote\nInterview: Virtual\nJob Duration: 6 Months Contract\n\nOverview:\nWe are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.\n\nNote: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.\n\nKey Responsibilities\nPerform data validation and quality checks using SQL and Python Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights Analyze data structures, relationships, and lineage to ensure data integrity Ensure data is usable, consistent, and reliable for analytics, BI, and business teams Support data manipulation, reporting, and downstream data consumption Collaborate with stakeholders to understand data requirements and usage\nRequired Qualifications\nBachelor’s degree (Master’s or PhD preferred) 5+ years of relevant Data Analyst experience Strong hands-on experience with SQL and Python (data validation, not just querying) Deep understanding of data structures and data lifecycle, including: Data shape, relationships, and storage Data quality, consistency, and lineage Ensuring data reliability for analytics and reporting Experience with exploratory data analysis (EDA)Experience with data manipulation and reporting\nPreferred Qualifications\n\nExperience with BI tools ( preferred) Power BIHealthcare domain experience (payer/provider, clinical, insurance, or operational data) Experience with Databricks and/or PySpark","company":"Stellar It Solutions","rawCompany":"stellar it solutions","city":"St Louis","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-07-19T14:19:45.495Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analyst","description":"Job Title: Data Analyst\nJob Location: Remote\nInterview: Virtual\nJob Duration: 6 Months Contract\n\nOverview:\nWe are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.\n\nNote: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.\n\nKey Responsibilities\nPerform data validation and quality checks using SQL and Python Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights Analyze data structures, relationships, and lineage to ensure data integrity Ensure data is usable, consistent, and reliable for analytics, BI, and business teams Support data manipulation, reporting, and downstream data consumption Collaborate with stakeholders to understand data requirements and usage\nRequired Qualifications\nBachelor’s degree (Master’s or PhD preferred) 5+ years of relevant Data Analyst experience Strong hands-on experience with SQL and Python (data validation, not just querying) Deep understanding of data structures and data lifecycle, including: Data shape, relationships, and storage Data quality, consistency, and lineage Ensuring data reliability for analytics and reporting Experience with exploratory data analysis (EDA)Experience with data manipulation and reporting\nPreferred Qualifications\n\nExperience with BI tools ( preferred) Power BIHealthcare domain experience (payer/provider, clinical, insurance, or operational data) Experience with Databricks and/or PySpark","datePosted":"2026-07-19T14:19:45.495Z","dateModified":"2026-07-19T14:19:45.495Z","hiringOrganization":{"@type":"Organization","name":"Stellar It Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"St Louis","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a4460dcb4e32171d2af5b20b"},"url":"https://jobsearcher.com/jobs/a4460dcb4e32171d2af5b20b"}}