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0-2 years
Not Disclosed
10 Nov. 4, 2024
Job Description
Job Type: Full Time Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates Skills: Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel

Summary

As a Data Analyst at Gainwell, you will leverage your skills to harness the power of technology, helping our clients improve the health and well-being of the vulnerable members they serve. Connect your passion with purpose by teaming up with individuals who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details for this position.

Your Role in Our Mission

  • Create accurate mapping documents according to the mapping process.

  • Deliver first draft solutions for ETL, Reporting, and Conversion of coding by swiftly understanding which mapping details can be deferred.

  • Support the ETL, Reporting, and Conversion developers based on the created mappings.

  • Collaborate closely with the configuration team and DBAs to ensure alignment between configurations, interfaces, and mappings.

What We're Looking For

  • Responsible for performing research and requirement analysis, creating and designing mapping documents, and presenting findings to team members, clients, and vendors.

  • Determine best practices and provide suggestions to improve current practices.

Basic Skills:

  • Healthcare/business knowledge in one or more of the following areas: member eligibility, TPL, claims processing, provider, or pharmacy claims.

  • Good to excellent SQL skills.

  • Strong oral and written communication skills.

  • Experience in data mapping.

  • Familiarity with one or more of the following areas: Conversion, Interface, Reporting.

  • Experience with QXNT is preferred, but not required.

What You Should Expect in This Role

  • A fast-paced, challenging, and rewarding work environment.

  • Work-life balance.

  • A hybrid office environment.

  • Late evening work may be required to overlap with U.S. work hours.

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