Senior Healthcare Data Analytics Specialist for Multiple Positions

<div class="content-intro"><p>Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.</p> <p>Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.</p></div><p>Inovalon is seeking Senior Healthcare Data Analytic Specialists for Multiple Positions</p> <p>Summary of Duties: &nbsp; &nbsp; Determine project plans, timelines, and/or technical objectives for statistical aspects of healthcare data analytic processes, applying valid statistical techniques and using information obtained from baselines or historical data to structure uncompromised and efficient analyses. Use data analysis to support and improve business decisions and develop clinical healthcare data analytic products and services. Determine the specific types of clinical or healthcare data required to answer specific questions or solve problems. Evaluate and maintain healthcare databases comprised of data from a variety of sources, such as clinical and health data contained in electronic health records and publicly reported quality measurement and reimbursement data and adjusting and weighting the raw data. Prepare data for processing. Plan and design data integration strategies by evaluating clinical and healthcare data to determine any reliability or usability limitations and checking for inaccuracies. Develop, execute and reconcile requirements for data mapping and data loading processes, develop intuitive designs, and build enterprise interactive dashboards with built in guided healthcare data analytics. Evaluate data to ensure validity, applicability, efficiency, and accuracy. Perform complex and detailed statistical analyses and modeling of clinical and operational data with clear, relevant outputs. Analyze data using statistical analysis and visualization software (e.g. SAS, R, SPSS, Stata, SQL or Tableau) to apply statistical approaches such as opportunity analyses, risk adjustment and predictive modeling, program evaluation studies, probability and inference, longitudinal analysis, mixed effect modeling, logistic regression analyses, and model building techniques. Perform trend analysis to identify and research anomalies and outliers in the data. Identify problem areas related to healthcare quality, risk adjustment, and/or clinical performance and recommend solutions. Write detailed analysis plans and descriptions of analyses and recommen