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    Manager of Data Analytics - Reno, United States - Renown Health

    Renown Health
    Renown Health Reno, United States

    6 days ago

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    Description

    Position Purpose

    The Enterprise Data Analytics (EDA) division at Renown Health oversees the analytics lifecycle to identify, analyze and present relevant insights that drive administrative, clinical, and financial decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.

    This role will provide strategic oversight, leadership and direction within the EDA division and leads the team(s) responsible for data and technology management to support and enable Renown Health processes including business partnership, data integrity, data acquisition, statistical modeling, reporting, self-service analytics, and applied data science. In addition, the Manager of Data Analytics provides actionable insight on how to deliver the best possible data and analytics customer experience by recommending and implementing enhancements, streamlining processes, implementing quality controls, and proactively monitoring the performance of data and analytics systems/applications. In addition, this role will be responsible for the building of data solutions and processes to enable Master Data Management (MDM), quality controls, and standardization.

    Nature and Scope

    This role is designed as hybrid.

    Primary Responsibilities:

    • Manages department operations and supervises professional employees.
    • Mentor and grow a high-performing data science and analytics team that is collaborative, results-oriented and focused on building strategic plans to drive analytic operations.
    • Develop analytic talent on your team and oversee the accuracy and quality of deliverables.
    • Partners with engineering and architecture leads to ensure decisions on data and technology direction are made collaboratively.
    • Participates in the development of policies and procedures to achieve specific goals.
    • Discover opportunities to improve the quality and efficiency with which analytic insights can be delivered. Perform quality assurance of data algorithms and processes.
    • Serve as a subject matter expert in data and analytics for the department and enterprise.
    • Effectively leads multifaceted initiatives, tasks, and internal and external stakeholders to ensure that projects are delivered on time.
    • Works with stakeholders to identify business opportunities, goals, or objectives.
    • Determines if objectives can be met using an analytical approach and develops hypothesis.
    • Leads team to builds custom quantitative models by applying advanced statistical methods such as causal and predictive modeling, forecasting, data mining, simulation, and/or optimization.
    • Demonstrates the ability to perform validation and testing of models to ensure adequacy and determines need for reformulation.
    • Demonstrates ability to communicate complex information clearly and concisely to a variety of audiences and mediums.
    • Partners with stakeholders to implement/automate/operationalize models into day-to-day business decision making.
    Incumbent Must Possess:
    • Demonstrated strong domain knowledge with expertise in payer/provider health analytics and business functions specifically in areas of administrative and clinical operations.
    • Master's degree in analytics related field, or equivalent experience and achievements preferred. 7-10 years of relevant experience required.
    • Five plus (5+) years of healthcare domain preferred.
    • Analytic team management/lead experience.
    • Demonstrated ability in the application of Lean thinking, continuous improvement, and change management.
    • Solid understanding on applications of advanced analytics including statistical analysis.
    • Ability to support the development of analysts for Intermediate/Advanced data visualization, automation, and programming skills (e.g., SAS, SQL, R, Python, Alteryx)
    • Experience working with IT partners or automation strategies to deploy production-level analytic solutions.
    This position does not provide patient care.

    Disclaimer

    The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills and efforts or work conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job.

    Minimum Qualifications

    Requirements - Required and/or Preferred

    Education:

    Must have working-level knowledge of the English language, including reading, writing and speaking English. Minimum master's degree in data science, statistics, mathematics, public health, or related discipline.

    Experience:

    Required 10+ years' experience in analytical role using or leading teams to conduct predictive analytics, advanced statistical techniques, and modeling. 5+ years required in the healthcare industry. Experience using SQL, R, Python, and/or other statistical programming or software to develop analytical solutions and associated visualization platforms (Power BI, Tableau, etc.).

    Ability to obtain Epic System's Cogito Project Manager Certificate is required within 12 months of hire. Must stay current on new version certification as applicable.

    Computer / Typing:

    Must be proficient in Microsoft Office Suite, including Outlook, PowerPoint, Excel, Teams and Word and have the ability to use the computer for online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.
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