Sr Healthcare Data Analyst

University of Massachusetts Medical School•Quincy, MA

16h

About The Position

Under the general direction of the Director or designee, the Sr. Healthcare Data Analyst needs to be an insightful, detail-oriented professional with excellent analytical skills who is able to apply that skill set to data analysis, data mining and data management within a medically-oriented, dynamic analytic team.

Requirements

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

Nice To Haves

Ability to travel between locations

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.