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HSAG is nationally recognized as an industry leader in the areas of
healthcare data analysis, measure development, and survey research. We
are in search of talented individuals who are interested in a career in
analytics as a Senior Analyst in HSAG\’s Data Science & Advanced
Analytics division. Together we can spread positive change to make
The Senior Analyst position benefits from HSAG\’s desire to grow its
staff into the future leaders of healthcare quality improvement in the
nation. During the first year, new HSAG analysts are provided formal
internal training in statistics, machine learning, clinical
epidemiology, SAS, Tableau, healthcare data, and an assortment of
healthcare-related topics. The Senior Analyst position will assist in
supervising junior-level analytic staff in the Data Science & Advanced
- A comfortable work-life balance and flexible work schedules.
- Three weeks of paid time off and 15 company-paid holidays where
staff leave two hours early prior to each holiday just to get a
\”jump start\” on holiday festivities.
HSAG offers a competitive benefit package which includes medical,
dental, vision, tuition reimbursement and 401(k).
The Senior Analyst position is a key leader in cutting-edge analytic
work that spans the broad spectrum of healthcare data projects at HSAG.
Driven by intellectual curiosity and a passion for healthcare quality,
the Senior Analyst position develops, implements, and leads innovative
analytic plans that are intended to provide healthcare decision and
policy makers with the necessary information to transform healthcare.
HSAG analysts in the Data Science & Advanced Analytics division assist
in designing a wide array of analytic studies and participate in all
phases of the research design process under the direction of the Senior
Analyst and other senior staff members. Senior Analysts will work with
data to facilitate data exploration and fulfill client deliverables,
including (but not limited to) the following data types:
- case review
- medical and prescription drug claims and encounters
- electronic health record
- vital statistics
Details regarding potential project assignments and key sources of data
will be discussed with potential candidates during the interview
ESSENTIAL COMPETENCIES, DUTIES, AND RESPONSIBILITIES
- Serve as an analytic leader within the HSAG Data Science & Advanced
- Lead multiple medium-sized analytic tasks or projects
simultaneously, while providing analytic support and leadership on
- Understand primary types of healthcare data and methods for
approaching data assessments.
- Evaluate a wide array of data types.
- Define appropriate research questions and develop corresponding
- Lead and interpret analyses, develop appropriate statistical models,
manipulate complex databases, and track and evaluate patterns of
care and outcomes.
- Oversee all data-related project activities.
- Attend, participate, and lead team training meetings.
- Present and communicate project results to nonanalytic staff members
- Represent HSAG in a professional manner at all times.
Compensation: 95000 – 110000
EDUCATION AND/OR EXPERIENCE
Bachelor\’s degree in a quantitative discipline (e.g., math,
statistics, economics, and epidemiology)
Master\’s degree preferred
A minimum of six (6) years of work experience.
At least five (5) years of healthcare ex erience.
At least five (5) years of statistics and/or quantitative analysis
At least one (1) year of experience supervising analytic staff.
Expert in the use of SAS software for statistical programming
SAS certification preferred.
Proficient in the use of SQL.
Experience working with relational databases.
Experience developing and leading formal written deliverables for
multiple clients, including serving as the lead writer/major
contributor on multiple formal deliverables.
Experience serving as the primary writer on a proposal and as a
major contributor to the overall proposal effort.
Experience mentoring multiple junior-level staff.
Demonstrated ability to supervise a team of at least two people,
including responsibility for monitoring and evaluating performance.
Proficient in Microsoft Word and Excel.
Excellent verbal and written communication skills.
Ability to handle several projects simultaneously and work with
The work environ