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Sr. SQL Healthcare Data Analyst SSIS, SSRS 100% Remote Contract to Hire

Remote · Netherlands Full-time

We have a contract to hire opportunity for a Senior-level Data Analyst with strong SQL expertise to support complex reporting, data validation, predictive analytics, and ETL processes in a fast-paced enterprise environment. This role is ideal for someone who enjoys working with large datasets, identifying trends, and partnering with cross-functional teams to drive data-driven insights and decision-making. 100% Remote. MUST HAVES:

  • 5+ years experience
  • Bachelor’s Degree
  • SQL, SSIS, SSRS, Active Batch, Control M, SQL Server
  • Strong Data Analysis, Data Validation, ETL

Responsibilities:

  • Experience with Data Analysis and Processing.
  • Experience with Advanced SQL, SSIS, SSRS.
  • Experience with scheduling tools such as Active Batch, Control M.
  • Experience with Other: diagnosing system issues, engaging in data validation, and providing quality assurance testing
  • Experience with Data Manipulation
  • Data Mining
  • Experience working in a production cloud infrastructure
  • Experience with one or more of the following C# (Programming Language)
  • Java (Programming Language)
  • Programming Concepts
  • Programming Tools
  • Python (Programming Language)
  • SQL (Programming Language)
  • Knowledge of Microsoft SQL Servers
  • SQL (Programming Language)
  • Experience working with provider data is desired
  • Intermediate - Demonstrated high degree of communication skills.
  • Intermediate – Ability to mentor junior analysts.
  • Intermediate - Demonstrates a high level of accuracy and attention to details, even under pressure.
  • Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.
  • Ability to work independently.
  • High performer in this roll will demonstrate a high degree of communication skills, a high level of accuracy and attention to details, even under pressure. Must also have he ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.

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