Sr 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.

• 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.
• 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