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# Senior Data Analyst / Data Modeler

- **Company:** Intone Networks
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Information Systems, Databases, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Mart, Data Warehousing, Relational Databases, Online Analytical Processing, Power BI, Software Engineering, SQL Databases, Snowflake, Sap Bo, Information Technology, Data Analytics, Tools for Reporting
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8d713ba2d1ffab4c

## About the Role

User Acceptance Testing (UAT) and provide ongoing production support for the enterprise data warehouse. * Identify data issues, perform root-cause analysis, and implement corrective actions. * Support data governance initiatives through monitoring, validation, and data quality controls. * Collaborate effectively across development, architecture, data integration, and BI teams. Required Experience & Qualifications * Bachelor's degree in Computer Science, Information Systems, or equivalent professional experience. * 7-10+ years of overall IT experience in data engineering, data analysis, or software development roles. * 5-7 years of hands-on data analysis and modeling experience, including complex relational data models. * 3-5 years of strong Snowflake experience with advanced SQL development. * Proficiency with SQL and Python for data manipulation and analysis. * Experience with BI and analytics tools such as Power BI, SAP BO, or Excel. * Strong understanding of data warehousing
concepts, data marts, and analytical database environments. * Ability to create data flow diagrams and process documentation. * Excellent analytical, problem-solving, and communication skills. * Ability to work independently while collaborating across cross-functional teams in a dynamic environment. Preferred Skills * Experience in professional services, consulting, or client-facing technology roles. * Familiarity with BI methodologies, OLAP tools, and enterprise analytics environments. * Strong business acumen with the ability to communicate data architecture concepts to non-technical stakeholders. * Comfort working in ambiguous or rapidly changing environments.



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