Data Analyst(UAT) - Minnetonka,MN - Onsite at Dmv It Service

Job Role: Technical Data Management SpecialistLocation: Hopkins, MN Employment Type: Full-timeAbout UsDMV IT Service LLC, established in 2020, is a specialized IT consulting and solutions provider delivering services in data analytics, cloud technologies, cybersecurity, project management, and enterprise modernization. We support Fortune 500 and government clients with high-impact technology solutions that enable automation, intelligence, and operational excellence.Job PurposeWe are seeking a Technical Data Management Specialist with strong, hands-on expertise in data engineering, analytics, and financial data operations. This role requires end-to-end ownership of data feeds supporting C&S, M&R, E&I, revenue, membership, and financial systems.The ideal candidate will act as a data SME, drive remediation of process gaps and data quality issues, and deliver automated, scalable data solutions using SAS, Python, Power BI, Snowflake, and Databricks. This position plays a critical role in building automated data pipelines, data repositories, reporting solutions, and robust financial analytics. Data Engineering & Systems Ownership Own end-to-end data feeds across C&S, M&R, E&I, accounting, revenue, membership, and financial data ecosystems. Transform large datasets from disparate systems into actionable business intelligence. Build automated processes, data repositories, and reporting layers using SAS, Python, Power BI, Snowflake, and Databricks. Serve as a subject matter expert on data issues and process inefficiencies, driving corrective actions. Analysis, Reporting & Automation Develop scalable analytics, reconciliations, and controls using the UHC SAS Fin360 framework. Create robust automated pipelines and business rules to streamline data validation and reporting. Contribute to financial and operational analyses supporting organizational decision-making. Project Execution & Collaboration Work within a team structure to solve complex or ambiguous business problems. Participate in requirements gathering, solution design, and development activities. Collaborate across business, IT, finance, and data engineering teams to deliver innovative data solutions. Testing, Migration & Quality Assurance Participate in UAT cycles, system migration initiatives, and integration efforts. Partner with IT teams to support testing, defect detection, troubleshooting, and production deployments. Ensure data accuracy, system reliability, and adherence to SLAs. Stakeholder Engagement Work with cross-functional teams using the Fin360 framework to develop customer-centric solutions. Identify opportunities for process enhancements and automation. Support the Financial Data Management group with additional bandwidth across C&S, M&R, and E&I. Required Qualifications Bachelor’s degree in Information Systems, Data Science, Computer Science, Finance, or related field (or equivalent experience). Strong hands-on experience with SAS, Python, Power BI, Snowflake, and/or Databricks. Proven experience working with financial, membership, or healthcare data systems. Strong SQL/data transformation skills. Experience handling large complex datasets from disparate systems. Working knowledge of automated data pipelines, ETL/ELT processes, and data quality controls. Experience in UAT, testing, troubleshooting, and production support. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications Experience with UHC Fin360 framework. Prior experience supporting C&S, M&R, E&I business groups. Experience in healthcare payer, insurance, or financial data domains. Strong understanding of reconciliation, audit controls, and financial reporting. Experience with Cloud-based data platforms and modern data engineering tools.