{"schemaVersion":"jobsearcher.job.v1","id":"c66e0cb07c58c3d8e57a35dc","url":"https://jobsearcher.com/jobs/c66e0cb07c58c3d8e57a35dc","canonicalUrl":"https://jobsearcher.com/jobs/c66e0cb07c58c3d8e57a35dc","title":"Data Scientist – Enterprise Reporting & Analytics","description":"Data Scientist – Enterprise Reporting & AnalyticsSpring, TX | Hybrid | Must Live Within 50 Miles of Spring | Full-TimeiSphere is looking for a Data Scientist who can help a financial services organization get out of the cycle of scattered reports, conflicting numbers, and business users needing IT every time they want an answer.This is not a pure machine learning role. The focus is much more practical: centralizing enterprise reporting, creating trusted datasets, improving access to data, and giving business users the ability to handle more of their own reporting and analytics.You will work across data lakes, enterprise data platforms, reporting tools, and business teams to help build a more consistent reporting environment. That includes identifying duplicate or outdated reports, standardizing business metrics, creating reusable datasets and semantic models, and helping move reporting away from spreadsheets and one-off solutions.A big part of this role is understanding how data moves from source systems into centralized platforms and then into the hands of business users. You should be comfortable working with both the technical side of the data environment and the people who actually need to use it.What we need:Strong experience working with enterprise data and analytics environmentsHands-on experience with data lakes, enterprise data warehouses, or modern cloud data platformsAdvanced SQL skills with the ability to work across large and complex datasetsExperience building self-service reporting and analytics environmentsExperience centralizing or consolidating reporting across multiple departments or systemsStrong experience with Power BI, Tableau, or similar enterprise BI toolsExperience creating reusable datasets, data models, semantic layers, or curated reporting structuresStrong understanding of data quality, data modeling, reporting architecture, and governanceAbility to gather requirements directly from business stakeholders and turn them into scalable data solutionsStrong communication skills with the ability to explain technical data concepts without making everyone else regret joining the meetingExperience in banking or financial services would be a big plus, especially if you have worked with customer, deposit, loan, transaction, risk, finance, or regulatory reporting with Azure, AWS, Snowflake, Databricks, Python, metadata management, data cataloging, or enterprise data modernization will also get our attention.The client is especially interested in someone who has already lived through this kind of transformation. Maybe reporting was spread across departments, everybody had their own spreadsheet, and three people could produce three different versions of the same number. You helped bring that environment together, create trusted data sources, and give the business better access without creating a new ticket every time someone wanted a report.If you enjoy turning fragmented data into something people can actually trust and use, this could be a great fit.","company":"Isphere","rawCompany":"isphere","city":"Spring","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-11T07:48:14.606Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist – Enterprise Reporting & Analytics","description":"Data Scientist – Enterprise Reporting & AnalyticsSpring, TX | Hybrid | Must Live Within 50 Miles of Spring | Full-TimeiSphere is looking for a Data Scientist who can help a financial services organization get out of the cycle of scattered reports, conflicting numbers, and business users needing IT every time they want an answer.This is not a pure machine learning role. The focus is much more practical: centralizing enterprise reporting, creating trusted datasets, improving access to data, and giving business users the ability to handle more of their own reporting and analytics.You will work across data lakes, enterprise data platforms, reporting tools, and business teams to help build a more consistent reporting environment. That includes identifying duplicate or outdated reports, standardizing business metrics, creating reusable datasets and semantic models, and helping move reporting away from spreadsheets and one-off solutions.A big part of this role is understanding how data moves from source systems into centralized platforms and then into the hands of business users. You should be comfortable working with both the technical side of the data environment and the people who actually need to use it.What we need:Strong experience working with enterprise data and analytics environmentsHands-on experience with data lakes, enterprise data warehouses, or modern cloud data platformsAdvanced SQL skills with the ability to work across large and complex datasetsExperience building self-service reporting and analytics environmentsExperience centralizing or consolidating reporting across multiple departments or systemsStrong experience with Power BI, Tableau, or similar enterprise BI toolsExperience creating reusable datasets, data models, semantic layers, or curated reporting structuresStrong understanding of data quality, data modeling, reporting architecture, and governanceAbility to gather requirements directly from business stakeholders and turn them into scalable data solutionsStrong communication skills with the ability to explain technical data concepts without making everyone else regret joining the meetingExperience in banking or financial services would be a big plus, especially if you have worked with customer, deposit, loan, transaction, risk, finance, or regulatory reporting with Azure, AWS, Snowflake, Databricks, Python, metadata management, data cataloging, or enterprise data modernization will also get our attention.The client is especially interested in someone who has already lived through this kind of transformation. Maybe reporting was spread across departments, everybody had their own spreadsheet, and three people could produce three different versions of the same number. You helped bring that environment together, create trusted data sources, and give the business better access without creating a new ticket every time someone wanted a report.If you enjoy turning fragmented data into something people can actually trust and use, this could be a great fit.","datePosted":"2026-09-11T07:48:14.606Z","dateModified":"2026-09-11T07:48:14.606Z","hiringOrganization":{"@type":"Organization","name":"Isphere","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Spring","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c66e0cb07c58c3d8e57a35dc"},"url":"https://jobsearcher.com/jobs/c66e0cb07c58c3d8e57a35dc"}}