Inovalon

  • Financial Data Analyst

    Job Locations US-MD-Bowie
    Requisition ID
    2018-8609
  • Overview

    The Financial Data Analyst will play a key role in the ongoing development and support of analytic software components of the Inovalon ONE™ Platform. The Financial Data Analyst will work closely with management to understand the strategic objectives and identify and solve problems related to data integration and reporting processes, particularly as it relates to creating efficiencies around financial budgeting, forecasting, and invoicing capabilities, as well as reporting and analytics processes for healthcare data. The Financial Data Analyst will formulate and apply quantitative and statistical modeling to optimize, develop, and interpret this data to assist management with insightful decision making and policy development by analyzing and refining financial data with an emphasis towards reusability, efficiency and process automation, and identifying and creating parameters and data sources to model metrics related to financial performance of impacted products. The Financial Data Analyst will also support the design and implementation of enhanced billing processes and redesign and close gaps in current forecasting processes.

    Responsibilities

    • Research, model and develop solutions to improve financial processes (including invoicing and forecasting) at the front-end of the data analytic process by performing qualitative reviews of complex billable and non-billable membership, reporting/analytic, and intervention event data, that is received by or on behalf of customers and entered into relevant databases;
    • Apply statistical approaches to data sources to evaluate data quality and troubleshoot data quality issues, confirming that data complies with integration specifications and conducting root cause analysis when it does not, and create reports that evaluate data integrity problems;
    • Design and recommend solutions to correct issues with data integrity and integration to improve billing, invoicing, and forecasting processes that utilize this data;
    • Participate in revenue forecasting processes for relevant products, using MS SQL Server, advanced Excel Spreadsheets, and other technical tools to perform complex data analysis on forecasted and actual data related to billable events by building predictive volume models and comparing forecasting to actual performance;
    • Develop and create dashboards using MS SQL Server and Tableau to compare actual target volume with forecasting and to present volume across multiple clients, using quantitative and metric data to create data visualizations that provide insight into product performance;
    • Create mathematical models and graphs to calculate and propose cost-saving measures and potential revenue opportunities;
    • Present the results of financial modeling and data analysis that leadership can use to gain insight and take action to improve problem areas;
    • Improve approve processes related to monthly invoicing from the data side by reviewing and validating financial data and utilize technical tools to trace back and conduct root cause analysis of the data contained in the relevant databases to discover the source of data discrepancies;
    • Develop and model solutions designed to improve invoicing capability and present findings and proposed solutions to senior leadership to assist in critical decision making; and
    • Develop and implement billing procedures and streamline existing billing processes, with a focus on automation, billing accuracy, transparency, and efficiency.

    Qualifications

     

    • Master’s degree in Computer Science, Information Systems/Technology, Software/Computer Engineering, or related field of study required;
    • Master’s degree plus at least two years of related professional experience with quantitative statistical data analysis and modeling (particularly as it relates to finance-based data and reporting) and interactive reporting, or five years of related professional experience if in possession of a relevant bachelor’s degree;
    • Experience with data science models typically used in business scenarios and data management processes (including financial data) required;
    • Experience with cloud computing and online business models, algorithm development experience including knowledge of statistical and matrix processing techniques, financial data modeling, database systems, computer networks, data structures, and Portfolio Burndown also required;
    • Must be able to apply operations research methodology, decision and logic design, root cause analysis, programming languages, data mining techniques, information theory methodology, graphical models, immersed visualization, distributed computing, object-oriented programming, and scalable parallel computing; and
    • Demonstrated experience with Microsoft technologies (including Excel, PowerPoint, Word, and Visio), data visualization and modeling technologies (including JavaScript, Tableau, SAS Enterprise, and R and related packages, SQL, SQL Server, SSRS, VSTS, Hyperion, Oracle ERP, and Agile development methodology required.

    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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