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Data Analyst (Medicaid, ADF, SQL, Python)

DMV IT Service LLC · Eden Prairie, États-Unis d'Amérique · Onsite

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Job Title: Data Analyst (Medicaid, ADF, SQL, Python)

Location: Eden Prairie, MN

Employment Type: Contract

About Us

DMV IT Service LLC, founded in 2020, is a trusted IT consulting firm specializing in IT infrastructure optimization, cybersecurity, networking, and staffing solutions. We partner with clients to achieve technology goals through expert guidance, workforce support, and innovative solutions. With a client-focused approach, we also provide online training and job placements, ensuring long-term IT success.

Job Purpose

A skilled Data Analyst is needed to design, build, and maintain data integration processes. The role focuses on developing and optimizing data pipelines, managing change requests, and ensuring efficient data flow between systems. It also involves maintaining stored procedures and documenting technical specifications to support smooth and reliable data operations.

Requirements

Key Responsibilities:

  • Support all ETL change requests and assist in implementing updates and enhancements.
  • Develop, test, and maintain ETL jobs to manage data extraction, transformation, and loading.
  • Build and refine data pipelines to meet evolving business and technical requirements.
  • Create and manage stored procedures to support reporting and analytics functions.
  • Analyze business and system requirements to prepare detailed functional and technical documentation.
  • Document data flows, process dependencies, and interface details in technical records.
  • Provide continuous support during maintenance and operations to ensure consistent data performance.

Required Skills & Experience:

  • Strong experience in developing and maintaining ETL solutions.
  • Proficiency in writing and optimizing SQL queries and stored procedures.
  • Ability to design, test, and document data pipelines and integration processes.
  • Skilled in analyzing requirements and translating them into technical solutions.
  • Knowledge of data management, transformation, and quality assurance principles.
  • Strong troubleshooting and analytical thinking abilities.
  • Excellent attention to detail and organizational skills.