Data Analyst(UAT) - Minnetonka,MN - Onsite

Job Role: Technical Data Management Specialist

Location: Hopkins, MN
Employment Type: Full-time

About Us

DMV 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 Purpose

We 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.

Requirements

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.