Medical Informatics Analyst, Senior

Your role

The Operations Analytics team supports back-office operations stakeholders with dashboarding, analytic studies, and statistical modeling to drive a better member/provider experience while reducing both administrative and healthcare costs. The Medical Informatics Analyst, Senior will report to the Sr. Manager of Operations Analytics. In this role you will provide analytic support to the operations team which involves defining a business problem, developing an analytic framework, and producing analytically driven insights and solutions that support transformational initiatives improving health care operations, efficiency, and member experience.

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.

Your Work

In this role, you will:

• Analyze structured and unstructured data to size and solve different business problems which can include uncovering pain points, performing root cause analysis, recommending, and sizing improvements for prioritization
• Build complex data sets from disparate sources with required linkages to enable analytics
• Use statistics, text mining, topic modeling, predictive modeling to answer business questions and generate insights/outcomes that relate to solving business problems
• Develop reports and dashboards to empower stakeholder decision making
• Work directly with business stakeholders and leaders to become an “embedded” analytic partner who understands the business and is ready to contribute directly to meeting stakeholder goals

Your Knowledge and Experience

• 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 at least 5 years of prior relevant experience
• Requires at least 3 years of experience in Health Care (managed care, academic, or gov't payer)
• Requires proficiency in SAS, R, or Python (preferred) for data wrangling, automation, and creating statistical and machine learning models
• Requires advanced level skill with SQL, Excel, data visualization (Tableau preferred), query tuning, various database models (normalized / dimensional / data vault / etc.)
• Requires high level of curiosity, superior conceptualization, and problem-solving skills
• Desire proficiency in statistics, regression techniques, text mining, predictive modeling
• Desire proficiency in agile methodology, confluence, Jira, etc.
• Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks)
• Requires SAS Certified Base Programmer Credential or equivalent.