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Senior Healthcare Informatics Analyst 6 month Contract Remote – US Based Transform Healthcare Through Data, Analytics, and Innovation Are you passionate about using data to improve healthcare outcomes, optimize performance, and influence strategic decision-making? We are seeking a Senior Healthcare Informatics Analyst who thrives at the intersection of healthcare, analytics, and technology. In this role, you’ll leverage advanced analytics, predictive modeling, machine learning, and healthcare data expertise to uncover insights that drive better patient outcomes, improve provider performance, support value-based care initiatives, and optimize financial and operational performance. This is an exciting opportunity to partner with clinical, business, actuarial, and technology leaders while helping shape the future of healthcare through data-driven innovation.
Job Responsibility
Analyze healthcare utilization, clinical outcomes, provider performance, and population health trends
Develop predictive models and advanced analytics that support strategic business and clinical initiatives
Identify opportunities to improve healthcare quality, reduce costs, and optimize revenue performance
Design and build meaningful reporting, dashboards, and business intelligence solutions
Transform complex healthcare data into actionable insights for executive leadership and key stakeholders
Partner with cross-functional teams to solve complex business challenges and drive organizational performance
Conduct statistical analysis, outcome research, and predictive modeling using large healthcare datasets
Serve as a trusted advisor to business leaders by translating data into strategic recommendations
Ensure the quality, accuracy, and integrity of analytical outputs and reporting solutions
Requirements
Bachelor's degree in Healthcare Administration, Statistics, Economics, Computer Science, Analytics, Finance, or a related quantitative field
4 + years of experience in healthcare analytics, healthcare informatics, data science, information technology, or management consulting
Strong experience working with healthcare data and analytical methodologies
Experience with one or more of the following: SQL, SAS, Python, R, Tableau, Power BI
Well versed in Population Health Management, Risk Adjustment Programs, Provider Reimbursement Models, Value-Based Care Initiatives, Medical Cost Analytics, HEDIS and AHRQ Quality Metrics, DRG, APC, ETG, MEG, DxCG, HCC, and other healthcare groupers
Advanced Analytics Experience within Predictive Modeling, Machine Learning, Data Mining, Statistical Analysis, Regression Modeling, Time Series Forecasting, Cluster Analysis, Decision Trees, Big Data Analytics, Outcome Research