In this role, you will explore rich healthcare datasets (pharmacy and medical) and develop technical solutions that drive better health outcomes for our client's members. You will apply your programming and analytic skills to real business problems and present your findings and recommendations to stakeholders. Your work will positively impact millions of Medicare Part D members and their health.
Responsibilities:
Develop and manage reporting solutions and delivery, including planning and designing new solutions to support M&R Part D Advanced Analytics.
Lead Medication Therapy Management and Comprehensive Medication Review program development, implementation, and quality monitoring.
Liaise with IT to maintain and update programs moved to a production environment through an agile SDLC.
Collaborate with cross-functional teams of pharmacists, PBM staff, and actuarial team, including senior-level team members.
Encourage processes that increase productivity by improving people, processes, tools, and technology.
Comply with and promote work measurements, production methods, and standards.
Explore new tools like R and Python to drive advanced analytics processes.
Collaborate with other Part D Advanced Analytics leads on the strategic use of data for modeling, machine learning, and reporting.
Develop ad-hoc data mining analysis to support business decisions; manage cleansing, accuracy, and ongoing maintenance of data warehousing activities.
Qualifications:
Bachelor's degree or equivalent in Computer Information Systems, Computer Science, Engineering, or related field.
4 years of related, progressive, post-baccalaureate experience.
2+ years of experience working with SAS business analytic software.
Ability to meet deadlines with multiple projects and priorities in a fast-paced environment.
Motivated self-starter with curiosity, attention to detail, and ability to effectively handle change.
Advanced proficiency with MS Office and Excel.
Desired Skills:
Experience developing, implementing, and supporting production SAS processes.
Medicare Part D experience.
Pharmacy and health claim analytics experience.
Data science and machine learning experience is a plus.
Familiarity with CMS Star Ratings.
Experience with business intelligence tools and software.
Contact: kgregor@judge.com
This job and many more are available through The Judge Group. Find us on the web at www.judge.com
