A senior analyst on a medical analytics team at UMass Medical School supporting MassHealth (Medicaid) programs. Day to day involves mining and analyzing healthcare claims/encounter data, building large datasets with SAS and SQL, and producing reports and dashboards in tools like Tableau, Cognos, and Business Objects.
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