{"schemaVersion":"jobsearcher.job.v1","id":"2d08d47f104312921c48a2d2","url":"https://jobsearcher.com/jobs/2d08d47f104312921c48a2d2","canonicalUrl":"https://jobsearcher.com/jobs/2d08d47f104312921c48a2d2","title":"Data Analyst","description":"Data Analytics – Job Description\n\n*Title:* Senior Data Analyst\n\n*Job Summary:*\n\nWe are looking for a *Data Analytics professional* with a strong understanding of data concepts, modern data platforms, ETL/ELT processes, and Python/PySpark. The candidate will work with large datasets, data pipelines, and data platforms to support analytics and reporting requirements.\n\n*Key Responsibilities:*\n\n* Understand business and technical data requirements and translate them into data solutions.\n* Work with *databases, data lakes, and modern data fabric architectures*.\n* Develop, maintain, and troubleshoot *ETL/ELT data pipelines*.\n* Work with structured and semi-structured data from multiple sources.\n* Use *Python and PySpark* for data processing, transformation, and analysis.\n* Perform data cleansing, transformation, validation, and quality checks.\n* Optimize data processing jobs and pipelines for performance and scalability.\n* Collaborate with data engineers, analysts, and business stakeholders.\n* Support data integration and migration activities.\n* Document data flows, transformation logic, and technical processes.\n\n*Required Skills:*\n\n* Strong understanding of *Data Analytics and Data Concepts*.\n* *10+ years of experience* in Data Analytics, Data Engineering, Data Integration, or related data technologies.\n* Understanding of *Databases, Data Lakes, and Data Fabric*.\n* Hands-on or strong conceptual knowledge of *ETL/ELT processes and tools/packages*.\n* Good knowledge of *Python*.\n* Good understanding of *Apache PySpark* and distributed data processing.\n* Understanding of data transformation, data quality, and data integration.\n* Strong SQL and database fundamentals.\n* Good analytical and problem-solving skills.\n\n*Preferred Skills:*\n\n* Experience with cloud data platforms such as *Azure, AWS, or GCP*.\n* Knowledge of modern data warehouse/lakehouse architectures.\n* Experience with tools such as *Databricks, Azure Data Factory, Snowflake, Microsoft Fabric, or similar platforms*.\n* Understanding of data governance and data quality concepts.\n* Experience working in Agile environments.\n\nWork Location: Hybrid remote in Chicago, IL 60619","company":"Sn Cloud Solutions","rawCompany":"sn cloud solutions","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-08-19T18:46:15.200Z","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":"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 Analyst","description":"Data Analytics – Job Description\n\n*Title:* Senior Data Analyst\n\n*Job Summary:*\n\nWe are looking for a *Data Analytics professional* with a strong understanding of data concepts, modern data platforms, ETL/ELT processes, and Python/PySpark. The candidate will work with large datasets, data pipelines, and data platforms to support analytics and reporting requirements.\n\n*Key Responsibilities:*\n\n* Understand business and technical data requirements and translate them into data solutions.\n* Work with *databases, data lakes, and modern data fabric architectures*.\n* Develop, maintain, and troubleshoot *ETL/ELT data pipelines*.\n* Work with structured and semi-structured data from multiple sources.\n* Use *Python and PySpark* for data processing, transformation, and analysis.\n* Perform data cleansing, transformation, validation, and quality checks.\n* Optimize data processing jobs and pipelines for performance and scalability.\n* Collaborate with data engineers, analysts, and business stakeholders.\n* Support data integration and migration activities.\n* Document data flows, transformation logic, and technical processes.\n\n*Required Skills:*\n\n* Strong understanding of *Data Analytics and Data Concepts*.\n* *10+ years of experience* in Data Analytics, Data Engineering, Data Integration, or related data technologies.\n* Understanding of *Databases, Data Lakes, and Data Fabric*.\n* Hands-on or strong conceptual knowledge of *ETL/ELT processes and tools/packages*.\n* Good knowledge of *Python*.\n* Good understanding of *Apache PySpark* and distributed data processing.\n* Understanding of data transformation, data quality, and data integration.\n* Strong SQL and database fundamentals.\n* Good analytical and problem-solving skills.\n\n*Preferred Skills:*\n\n* Experience with cloud data platforms such as *Azure, AWS, or GCP*.\n* Knowledge of modern data warehouse/lakehouse architectures.\n* Experience with tools such as *Databricks, Azure Data Factory, Snowflake, Microsoft Fabric, or similar platforms*.\n* Understanding of data governance and data quality concepts.\n* Experience working in Agile environments.\n\nWork Location: Hybrid remote in Chicago, IL 60619","datePosted":"2026-08-19T18:46:15.200Z","dateModified":"2026-08-19T18:46:15.200Z","hiringOrganization":{"@type":"Organization","name":"Sn Cloud Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2d08d47f104312921c48a2d2"},"url":"https://jobsearcher.com/jobs/2d08d47f104312921c48a2d2"}}