• Senior Analyst - Operational Excellence

    Location US-NY-New York
    Posted Date 3 days ago(2/19/2019 4:54 PM)
    Job ID
    Innovation & Strategic Operations
    Emp Status
    Regular Full-Time
    Hours per Week
  • Overview

    Operational Excellence Senior Analyst

    Operational Excellence


    Operational Excellence (OE) at Hospital for Special Surgery (HSS) is charged with optimizing the care delivery system. The OE department is highly visible, reporting directly to the CEO and COO, and all members have the opportunity to work with multidisciplinary teams comprised of clinical and business leaders.


    The Operational Excellence Senior Analyst fills an essential role for the overall success of OE programs at HSS. The successful candidate will conduct current state and root cause analysis, develop datasets, manage complex analyses, and develop data insights to support ongoing performance improvement initiatives.


    The ideal candidate can support several concurrent projects including evaluating department operations, modeling systems, and helping to scale analytics across the enterprise.


    Key Responsibilities

    • Data collection, quantitative and qualitative analysis, process mapping, root cause problem solving, and solution design
    • Use statistical programming to build, aggregate, structure, clean, validate, analyze, and maintain data
    • Assess operations, recommend changes, and measure progress toward strategic improvement plans
    • Produce analytic insights from quality, process, outcome, financial, and survey data
    • Create meaningful performance measures for dashboards and reports
    • Build data dashboards that measure KPIs and facilitate improvement discussions with clinical and business leaders
    • Collaborate with interdisciplinary business and clinical subject matter experts
    • Create presentation ready materials and communicate insights to stakeholders
    • Provide analytic coaching and skillset development for colleagues

    Example Projects: Use EMR data to assess and optimize patient discharge processes; design predictive analytics to inform staffing; model bed occupancy and project resource utilization; Create a queueing model to design a decentralized registration process



    Bachelor’s degree required, Master’s degree preferred


    Required Skills & Experience

    • Background or experience in science, math, engineering, and other fields providing quantitative experience
    • Experience with statistical techniques including regression, sensitivity analyses, control charts, sample size and power estimations
    • Experience with discrete event simulation, operations modeling, and simulation software (e.g., Simul8, ARENA)
    • At least 1 year working experience with statistical software (e.g., R, SAS) and data visualization tools (e.g., Tableau) required
    • Working knowledge of various software and spreadsheet applications used in process mapping, process design, and work-flow management (e.g., MS Excel, MS PowerPoint)
    • Exceptional oral and written communication skills
    • Ability to influence people, build relationships and collaborate
    • Motivation to develop analytic skillset to include advanced machine learning techniques


    Qualified candidates who desire to be part of a world-class team protecting and building upon our legacy of excellence are encouraged to apply now!


    Hospital for Special Surgery offers a unique work environment, diverse job types and extraordinary career opportunities.


    Values:  …excellence, integrity, compassion, respect, teamwork, quality, safety, innovations, education, efficiency…

    Vision:  …lead the world as the most innovative source of medical care, the premier research institution, and the most trusted educator…

    Mission:  …provide the highest quality patient care, improve mobility, and enhance the quality of life for all and to advance the science...through research and education…

    Other Requirements



    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed