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    Predictive Analytics Analyst - Dallas, United States - IASIS Healthcare

    IASIS Healthcare
    IASIS Healthcare Dallas, United States

    2 weeks ago

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    Description
    Predictive Analytics AnalystClick Here to Apply OnlineJob DescriptionLocation: Steward Health Care
    Posted Date: 4/22/2024

    Job Type:

    Full TimeDepartment: Mission ControlAbout Steward Health CareOver a decade ago, Steward Health Care System emerged as a different kind of health care company designed to usher in a new era of wellness.

    One that provides our patients better, more proactive care at a sustainable cost, our providers unrivaled coordination of care, and our communities greater prosperity and stability.

    As the country's largest physician-led, minority-owned, integrated health care system, our doctors can be certain that we share their interests and those of their patients.

    Together we are on a mission to revolutionize the way health care is delivered - creating healthier lives, thriving communities and a better world.

    Based in Dallas, Steward currently operates more than 30 hospitals across Arizona, Arkansas, Florida, Louisiana, Massachusetts, Ohio, Pennsylvania, and Texas.


    For more information, visit POSITION SUMMARY:

    Steward Health Care System is seeking a Predictive Analytics Analyst to serve as a key member of the Mission Control analytics team, to assess and analyze Length of Stay (LOS) metrics, and to support high-level volume and staffing analysis.

    The Predictive Analytics Analyst will provide daily analysis of enterprise in-house and projected LOS as well as volume and staffing data in coordination with the hospital business unit and corporate staff organizations; produce monthly/quarterly reports, and perform data analysis to evaluate operating performance and support decision-making.


    KEY RESPONSIBILITIES:
    Tracking and analyzing key length of stay and labor metrics that impact operations and financial performanceDefine, create, implement and standardize 'single source of truth' reports and dashboards for LOS metricsCollaborate with business partners in hospitals, IT,and Finance to identify opportunities that will increase productivity and support the organization's sustainable growth strategyAd hoc analysis in support of corporate initiatives This role will be expected to understand, communicate and explain length of stay variances and trends REQUIRED KNOWLEDGE &


    SKILLS:


    Bachelor's degree in Statistics, Engineering, Economics or Finance with strong academic record and 3+ years of relevant work experience; Master's degree in a quantitative field a plusProven experience and ability to develop SQL queries and reports; Python and Business Intelligence tool experience (QlikView, Tableau, etc.).

    Experience building predictive models (ex
    • Regression, Classification, etc.)
    is a plus.
    Extensive experience with financial ERP systems, Microsoft Excel (including VBA Macros) and PowerPointAbility to effectively manage multiple competing priorities at any given time; Detail-oriented and ability to work collaboratively in a deadline-driven environmentStructured problem-solving skills and experience: uses a systematic, disciplined and fact-based process that gets to root causes to solve business challengesTop notch written and verbal communication skillsEDUCATION/EXPERIENCE/LICENSURE/TECHNICAL/


    OTHER:

    Education:

    Bachelor's degree in Statistics, Engineering, Economics or Finance with strong academic record and 3+ years of relevant work experience; Master's degree in a quantitative field a plusExperience (Type & Length): Prior experience with data management, ETL, and predictive analytics.

    Experience within a healthcare consulting firm or large company preferred. 3+ years of analytical experience; healthcare industry experience preferred but not required. Knowledge of DRG tables, LOS/GMLOS, outliers.
    Application InstructionsPlease click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you
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