Inovalon

  • Healthcare Data Analytic Specialist

    Job Locations US-MD-Bowie
    Requisition ID
    2018-8610
  • Overview

    The Healthcare Data Analytic Specialist is primarily responsible for developing and applying statistical theory and methods to collect, interpret, analyze, transform, and present complex clinical and healthcare data for use in customer reporting, product research and development, and other ad-hoc analytics.

    Responsibilities

    • 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 publically-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 recommendations, including preparing data visualizations in the form of dashboards, charts, and/or graphs.
    • Present the results of data analysis to management, product development, operations and technology teams, and other internal stakeholders.
    • Prepare statistical data for inclusion in reports to senior management, state or federal regulatory agencies, accrediting agencies, and clients.

    Qualifications

    • Master’s degree in Information Systems/Technology, Statistics, Analytics, or a related field of study;
    • Master’s degree plus at least two years of related professional experience in data analytics, data science, or related field, or five years of related professional experience if in possession of a relevant bachelor’s degree;
    • Experience conducting statistical analyses and data mining using data management and visualization software (e.g. SAS, R, SPSS, Stata, SQL, SSRS, SQL Server, Minitab, and/or Tableau);
    • Possession of strong knowledge of and experience with analytical, quantitative, statistical, and biostatistical data analysis methodology and theory (e.g. 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);
    • Strong organization skills and attention to details;
    • Experience with algorithm design, interactive reporting, data visualization and modeling, database systems, trend and root cause analysis, computer and neural networks, data structures, programming languages, logic design,
    • Adaptable to changing organizational requirements and priorities and supportive of a diverse work force;
    • Ability to collaborate with others in diplomatic, tactful manner, while exercising sensitivity and discretion as needed;
    • Advanced skills with Microsoft technologies (including Excel, PowerPoint, Word, and Visio); and
    • Excellent written and verbal communication skills.

    Inovalon provides equal employment opportunities (EEO) to all employees and applicants for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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