Department: ForHealth Consulting – Office Of Clinical Affairs -
W401300
Job Type: Full-Time
Work Location: Hybrid
Salary Minimum: USD
$85,000.00/Yr.
Salary Maximum: USD $98,000.00/Yr.
Under the general direction of the
Director or designee, the Sr. Healthcare Data Analyst needs to be 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.
- 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 - 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
Posting Disclaimer:
This job posting outlines the primary responsibilities
and qualifications for the role but is not intended to be an exhaustive list. Duties and expectations may evolve in response to the needs of
the department and the broader institution.
In alignment with our commitment to pay transparency, the base salary range for this
position is listed above (exclusive of benefits and retirement). At UMass Chan Medical School, final base salary offers are determined based
on a combination of factors, including your skills, education, and relevant experience. We also consider internal equity to ensure fair and
consistent compensation across our teams.
Please note that the range provided reflects the full base salary range for this position.
Offers are typically made within the midrange to allow for future growth and development within the role.
In addition to base pay,
UMass Chan offers a comprehensive Total Rewards package, which includes paid time off, medical, dental, and vision coverage, and
participation in a 401(a)-retirement plan, with the option to contribute to a voluntary 403(b) plan.
UMass Chan welcomes all
qualified applicants and complies with all state and federal anti-discrimination laws.