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Sr Healthcare Data Analyst

UMass Chan Medical School

Senior Healthcare Data Analyst

The Senior Healthcare Data Analyst is an insightful, detail-oriented professional with excellent analytical skills who is able to apply that skill set to data analytics, data mining, and data management within a medically oriented, dynamic analytic team.

Responsibilities
  • Conduct advanced data mining as required by the program.
  • Lead analyses and produce standard reports using healthcare claims data which support the development, implementation, and monitoring of MassHealth programs.
  • Manipulate and build large datasets from claims and encounter data to support analyses through use of efficient SAS/SQL code.
  • Utilize strong analytic consulting skills, and a customer service focus in order to design and deliver analytic projects to client specifications.
  • Assist in the use of qualitative and quantitative analysis techniques.
  • Utilize and create testing measures to analyze large amounts of data.
  • Create algorithms to test and analyze multiple, large databases.
  • Develop analyses and present information using various tools such as SAS, Business Objects, SQL, Cognos, Tableau and MS Office.
  • Independently identify and report data patterns and abnormalities.
  • Provide analysis of key metrics and data trends.
  • Demonstrate exceptional analytic and problem-solving skills.
  • Test, track and monitor data for quality, integrity and trends.
  • Merge multiple databases and data sources to produce answers to complex business questions.
  • Demonstrate attention to detail and deliver quality work products.
  • Other responsibilities and projects as assigned.
Qualifications
  • Bachelor's level degree or equivalent in healthcare, health business administration, public health, public policy, statistics, computer science, engineering or similar discipline; or equivalent.
  • 5-7 years related or equivalent experience with proficiency in Medical Claims Analysis, Financial Data Analysis, and/or Transaction-Based Data Analysis
  • Advanced knowledge of data mining software tools such as SAS, SQL, BO, Cognos or similar
  • Advanced knowledge of data presentation software tools such as Tableau
  • Advanced SAS or SQL programming skills
  • Demonstrated knowledge of Microsoft Office Applications
  • Ability to merge multiple databases and data sources to produce answers to complex business questions
  • Familiarity with coding systems (i.e., CPT, ICD9, ICD10) and hospital billing systems (DRGs).
  • Demonstrates intellectual curiosity, takes initiative and focuses on continuous improvement
  • Ability to learn quickly and multi-task in a fast paced, work environment
  • Ability to communicate verbally and in writing in English in a clear, professional manner
  • Ability to travel between locations
Additional Information

#LI-Hybrid

Vacancy posted 5 days ago
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