Senior Data Analyst

University of OklahomaTulsa, OK
Onsite

About The Position

Will function as lead developer for a Care Management application platform currently utilized by a team of approximately 15 staff to manage a large population of Health Access Network members. The successful candidate will provide technical leadership for application design, development, enhancement, and support activities. Required skills include strong proficiency in C#, .NET 8, REST APIs, and Microsoft SQL Server, along with experience designing, developing, and maintaining enterprise applications. Experience with Dapper, IIS, Visual Studio, Azure, and modern software development practices is preferred. The candidate should be capable of leading technical initiatives, mentoring developers, performing code reviews, troubleshooting complex application issues, and collaborating with business stakeholders to deliver scalable, secure, and maintainable solutions. Experience with TypeScript and React is desirable but not required for candidates with strong back-end development and database expertise. Experience with AI-assisted software development tools and workflows is strongly preferred, including the ability to leverage modern AI coding assistants to improve productivity, code quality, testing, documentation, and application delivery. The ideal candidate will be comfortable evaluating and adopting emerging technologies while maintaining established software engineering best practices.

Requirements

  • Bachelor's Degree
  • 48 months experience as a Data Analyst or in related field.
  • Strong proficiency in C#
  • .NET 8
  • REST APIs
  • Microsoft SQL Server
  • Experience designing, developing, and maintaining enterprise applications.

Nice To Haves

  • Experience with Dapper
  • IIS
  • Visual Studio
  • Azure
  • Modern software development practices
  • TypeScript
  • React
  • Experience with AI-assisted software development tools and workflows

Responsibilities

  • Provide technical leadership for application design, development, enhancement, and support activities.
  • Lead technical initiatives.
  • Mentor developers.
  • Perform code reviews.
  • Troubleshoot complex application issues.
  • Collaborate with business stakeholders to deliver scalable, secure, and maintainable solutions.
  • Leverage modern AI coding assistants to improve productivity, code quality, testing, documentation, and application delivery.
  • Evaluate and adopt emerging technologies while maintaining established software engineering best practices.

Benefits

  • Benefits Eligible: Yes
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