Role Summary
Under the direct supervision of the Director of Analytics and Evaluation, the Sr. Statistical
Analyst will provide critical support in design, development and implementation of evaluation
projects in health care services and patient engagement initiatives. This individual will be
expected to have the requisite content knowledge to drive the evaluation in partner with regional
leaders on workflow efficiency, quality, and patient satisfaction outcomes from various program
initiatives.
Responsibilities include:
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Collaborate with quality organization leaders on innovative programs that improve care
quality and affordability
Partner with the businesses and use analytic expertise to solve business problems
Develop and document program evaluation specifications
Prioritize and coordinate multiple work efforts
Providing consultation and statistical support to principal investigators and project
managers
Developing tools (macros) and systems for implementation of statistical procedures in
data management, augmentation and analysis
Provide ad hoc advice on statistical methods
Conducting data/text mining analyses, multilevel modeling and propensity score
matching.
Program on PC and UNIX server based platforms using SQL, SAS and other statistical
software.
Create project presentations
IDEAL CANDIDATES WILL OFFER:
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Strong customer focus and track record of satisfied clients
Advanced (graduate level) degree and at least 4 years’ experience in healthcare related
analytics
Leadership competencies with the ability to collaborate with others and establish working
relationships, communicate effectively across the organization and at different levels
Translate business needs into practical applications and solutions
Deep healthcare data (e.g., encounters, risk, groupers), statistical analysis experience,
and demonstrated understanding of healthcare and delivery system processes
Demonstrated knowledge in statistical theories specifically multilevel models,
multivariate analysis, predictive modeling, data/text mining, propensity score matching
and experience in applying the theories in analyses.
Experience in managing the design, development, and continuous improvement of
complex healthcare data systems, tools, and analytical processes
Advanced programming skill in SQL, SAS
Strong communication skills