Design and implement comprehensive analytics and reporting solutions tailored to the healthcare domain.
Extract, merge, and analyze data from diverse sources such as DB2, Hadoop, and Google BigQuery to deliver cost and trend-based analyses, as well as claims forecasting.
Build intuitive Tableau dashboards and reports to communicate actionable insights to stakeholders.
Work extensively with claims, pharmacy, labs, and other patient datasets, ensuring accuracy and compliance with healthcare data standards (e.g., HEDIS, Medicare STAR, CPT, LOINC, SNOMED).
Apply advanced analytics to support Social Determinants of Health (SDoH) and health equity initiatives.
Develop and deploy robust machine learning models using Python and SQL for predictive analytics and clustering frameworks.
Utilize NLP techniques to extract insights from unstructured data, such as clinical notes and patient feedback.
Work on cloud platforms like Microsoft Azure, Google Cloud, and BigQuery to manage and analyze large datasets efficiently.
Leverage Hadoop and other big data frameworks for cost optimization and scalable data storage solutions.
Lead cross-functional teams to deliver analytics projects with accuracy and timeliness using tools like JIRA and Confluence.
Mentor team members to foster innovation and align with organizational goals.
Apply deep knowledge of the U.S. healthcare ecosystem to address complex challenges and enhance decision-making processes for stakeholders.
Provide performance benchmarking and actionable insights to support quality improvement programs.
Ensure compliance with HIPAA, GDPR, and other healthcare-related data privacy regulations in all analytics processes.
Position may require travel to various and unanticipated workplaces throughout the U.S.
Telecommuting is permitted.

Requirements

Requires Bachelor's degree, technical degree, or foreign equivalent in Electronics, Electronic Engineering, Computer Science, or a directly related field plus seven (7) years of Healthcare Experience.
Must have five (5) years of experience with Python, SQL, SAS, and Tableau for analytics and reporting.
Must have five (5) years of experience with Healthcare data standards: HEDIS, Medicare STAR, CPT, LOINC, and SNOMED.
Must have five (5) years of experience with Cloud platforms (Microsoft Azure, Google Cloud, BigQuery) and big data frameworks (Hadoop).
Must have five (5) years of experience with Data visualization best practices for impactful storytelling.
Must have five (5) years of experience with Data integration tools and ETL processes.
Must have five (5) years of experience with Agile project management methodologies.
Must have at least one (1) year of experience in AI/ML frameworks and NLP techniques for healthcare analytics.
Must have at least one (1) year of experience with Advanced statistical and predictive modeling techniques (e.g., regression, time-series analysis).
Must have at least one (1) year of experience with CI/CD tools to streamline data pipelines.
Employer will also accept Master's degree plus five (5) years of Healthcare Experience in lieu of Bachelor's or Technical degree plus seven (7) years of Healthcare Experience.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

PythonSQLSASTableauNLP techniquesMachine learningPredictive analyticsData integrationETL processesStatistical modeling

Soft skills

LeadershipMentoringCollaborationCommunicationProject managementProblem-solvingInnovationAttention to detailTimelinessStakeholder engagement