Medical Informatics Analyst, Consultant

Blue Shield of CaliforniaEl Dorado, AR
Hybrid

About The Position

The Healthcare Quality Affordability (HQA) Analytics team plays a key role in discovering information hidden in vast amounts of data that can lead to smarter decisions and deliver better service for our customers and contain the rising cost of healthcare. The Medical Informatics, Consultant will report to the Manager of HQA Analytics. In this role you will be responsible for evaluating the financial performance and impact of clinical initiatives within the Medical Care Programs team. This role focuses on analyzing healthcare cost drivers, quantifying savings and outcomes generated by clinical interventions, and providing actionable insights to support cost containment and quality improvement strategies. Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Requirements

  • Requires an MPH, MBA, MS, MA, RN, or RHIA in health science, quantitative social science, public health, health services research or business, or BA/BS with demonstrated equivalent work experience
  • Requires SAS Certified Base Programmer Credential or equivalent and SAS Certified Advanced Programmer Credential or equivalent
  • Requires at least 7 years of prior relevant experience
  • Requires at least 5 years of experience in Health Care (managed care, academic, or gov't payer)
  • Requires proficiency in one or more dashboard/BI tools, such as Power BI or Tableau
  • Requires at least 3 years of data modeling experience, and advanced proficiency in SQL for complex query development, data transformation, and performance optimization across large-scale datasets
  • Demonstrated financial acumen with a deep understanding of healthcare cost structures, including but not limited to drivers of medical expense such as utilization, unit cost, site of care, and member risk profile.
  • Ability to interpret and analyze cost trends across medical and pharmacy spend and evaluate the financial impact of clinical and operational initiatives to support informed decision-making and cost containment strategies

Nice To Haves

  • Experience evaluating and calculating return on investment for clinical program participation, including measuring program costs against realized savings and outcomes to assess financial effectiveness and value highly preferred
  • Experience working with authorization datasets and medical policies, with strong familiarity in analyzing medical and pharmacy services, including interpretation and application of CPT, HCPCS, ICD, and NDC procedure/code sets, is a plus

Responsibilities

  • Conduct independent analysis of high complexity under minimal supervision and guidance
  • Develop analytical methods so that they may be subsequently delegated for production to Medical Informatics Analysts at lower levels
  • Produce analysis of high complexity under the guidance and direction of Medical Informatics Analyst V, supervisor or manager
  • Develop documentation and create and execute workplans for analyses of high complexity. Workplans may coordinate the activities of Medical Informatics Analysts at lower levels and may involve collaboration with more than one team
  • Provide training and mentoring for team members on best practices for analysis and reporting; assist in the development of supplemental analytic training tools and materials; conducts formal training sessions for lower-level analysts and analysts in other Departments
  • Build and maintain robust data models for cost of savings data, sometimes integrating multiple data sources (e.g., authorization, medical care programs, case management, and claims data) and ensuring alignment with business rules, data quality standards, and reporting requirements
  • Develop methodologies and data models to calculate baseline vs. realized savings of clinical programs, including avoided costs and trend adjustments.
  • Responsible for providing key performance indicators on clinical programs, particularly surrounding program usage
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