Download One of the largest health systems in Illinois, based in downtown

One of the largest health systems in Illinois, based in downtown Chicago is building a population health analytics
team. The population health analytics team will develop, implement, and coordinate system wide analytics that
promote and support the adoption of population health management. This team will be instrumental in building a
system for data aggregation, measurement, analysis and reporting to support improvement and redesign.
Senior Population Health Statistical/Actuarial Analyst
SUMMARY
 Design, develop, implement, and coordinate system-wide analytics and reporting that promotes and
supports the adoption and successful execution of population health management.
 Develop and implement the financial, clinical, and operational analytics and reporting required to support
the Healthy Start Medicaid ACE program, Medicare Value Partners ACO, commercial ACOs, and other
population health programs.
 Help to build and improve systems for data aggregation, measurement, and analysis. Provide
recommendations for improving analytic and reporting tools and processes, to more effectively support
population health.
 Effectively collaborate with team peers, other Enterprise Analytics team members and partners throughout
the business. Communicate effectively within informal and formal channels, including written
communications, presentations and informal communications with peers, management and business
partners.
 Develop data expertise needed to optimally use business and other data to support population health
reporting and analytics tools and processes; includes expert data knowledge, quality control and following
appropriate standards.
 Design and execute complex, advanced analytic studies and analyses required to support population health
initiatives.
 Execute analytic processes required to support population health at the health system, including but not
limited to case-mix adjusted physician profiling; operational, quality, cost and utilization analytics; risk
analytics; trending and forecasting; predictive modeling; program evaluation using advanced techniques;
actuarial analyses; and data mining.
 Acquire expert knowledge of the organizations business, health systems and population health systems and
processes, as required to support population health reporting.
 Perform other duties as assigned.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The
requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable
accommodations may be made to enable individuals with disabilities to perform the essential functions.
1.
2.
3.
4.
5.
Strong interpersonal and communication skills (written/spoken), quantitative, computational and analytical
skills, and attention to detail to effectively disseminate essential analytic information throughout the health
system at multiple levels:
a. Internal: Department management, clinical staff, multi-disciplinary teams, Information Services,
and executive management.
b. External: Other healthcare systems/organizations, system vendors, database organizations,
healthcare benchmarking agencies, Regulatory Agencies, and Health Care Institutions and
Associations.
Understanding of data/information management in a healthcare environment.
Expert knowledge of relational databases.
Proficiency with programming languages such as Visual Basic, SAS and/or SQL (or equivalent) preferred.
Ability to query and analyze large, complex data sets in multiple environments.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
Experience designing and executing customized advanced analytic/statistical studies and analyses,
involving techniques such as predictive modeling, regression, data mining, program evaluation (using
observational as well as experimental approaches) and forecasting.
Experience executing advanced statistical and/or actuarial analytics.
Demonstrated ability to effectively explain complex analyses and results in a fashion that is meaningful and
understandable to a wide range of audiences, including non-technical staff.
Handles multiple and potentially conflicting assignments, demands and priorities to meet deadlines.
Experience with validating data and results and executing quality control processes.
Demonstrated experience in discussing/evaluating data with all levels of leadership, as well as teaching
peers data analytics.
Experience implementing analytics results or otherwise translating analyses into business actions to create
value.
Experience working with teams as members and leaders.
Deals effectively, calmly, and professionally with conflict-related and/or emotional situations.
Treats everyone with respect and professionalism at all times in all interactions, both written and verbal.
Ability to travel within the health system to various corporate offices, ministries, and other non-acute care
facilities.
Education and/or Experience
 Bachelor’s degree in quantitative, scientific, business and/or healthcare fields required. Master’s degree or
PhD in quantitative, scientific, business and/or healthcare fields, or Actuarial credentials, strongly
preferred.
 Two years of applied statistical and/or actuarial work experience (experience within business and/or
healthcare environments preferred)
 Demonstrated ability to independently and appropriately design and execute either: 1) complex statistical
analyses to support business objectives, or 2) actuarial analyses.
o Experience with healthcare informatics, computer programming, and value based care models (for
example, ACOs, medical homes, bundled payments, capitation or shared risk arrangements)
preferred.
o Experience with advanced analytic techniques such as predictive modeling, program evaluation
(observational and experimental approaches), case-mix adjusted provider profiling, data mining
and forecasting preferred.
o Experience using tools such as SAS, R or SQL to produce analytic/reporting results based on large
and complex data (either hands-on experience or experience closely managing staff in these tasks)
preferred.
 Experience working on analytics projects related to medical management, population health, health
insurance, value-based care or clinical quality preferred.
Computer Skills
1. Expert knowledge of Microsoft Office Suite, especially Excel, Access, Word, PowerPoint, and Outlook to
conduct and report out complex data analyses.
2. Experience with statistical and analytic programming tools such as SAS, R or SQL (or equivalent)
preferred
3. Advanced to expert knowledge of healthcare reporting tools such as Optum Impact Intelligence or Truven
Advantage Suite preferred
4. Ability to operate a computer, its applications, accessories, and all associated peripheral equipment
(copiers, scanners, faxes, etc.) to properly perform everything outlined, where applicable, in the position’s
qualifications.
Certificates, Licenses, Registrations
 Preferred certification, licenses and registration in information technology, business intelligence, actuarial
and/or clinical designation.