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Strategic Analyst (Surgery) - Strategy and Innovation

New York, New York

Post Date: 05/31/2017 Job ID: 4127 Industry: Analyst

Title: Strategic Analyst ( Surgery) 

Location: New York, NY

Duration: Direct-Hire

Salary: $60, 000

Job Description:

Strategy and Innovation

As part of the Department of Strategy and Innovation, you will have an exciting group of peers and pioneers along your side. Our department is comprised of data scientists, strategic analysts and managers, operations researchers, software engineers, a behavioral psychologist, designers, and thought leaders. Our diverse team allows for an exciting and innovative environment where many experts gladly share ideas and concepts that benefit the entire department.

Embedded Analyst Program

This position is part of our Embedded Analyst Program, where Strategy & Innovation analysts are embedded in various operational departments and immersed in their challenges. These positions will report to representatives of operational departments, and be supported (with training, tools, and mentorship) from S&I.


Around 70% of all patients treated here come through the Department of Surgery. The projects we tackle and the decisions we support may impact thousands of patients annually, directly and indirectly. Along with increasing access to world renowned surgeons and unique treatment options, our focus is to enhance the patient experience and assess and manage the system-wide impact on resources stemming from surgical demand. We have a large amount of data available about our patients and our resources, and we support decisions with an increased level of accuracy and insight by leveraging data, advanced analytics tools and the knowledge from our clinical and operational staff.

The Role

We are seeking a Strategic Analyst  who will serve as the supporting analyst on projects crucial to ensuring client' s growth and allowing patients continued access to our clinicians’ expertise (both major institutional priorities with broad executive support). In partnership with a Health Systems Engineer, the Strategic Analyst will empower data-driven decisions and process improvement to improve patients’ outcomes and experience. This will involve defining and scoping analyses, collecting and managing data, process mapping, performing statistical and mathematical modeling, developing new tools and systems, and sharing results.

You are:
  • Comfortable finding, gathering, and structuring data by talking to and learning from technical stakeholders in the organization
  • Able to build and validate analysis around a high-level question from non-technical stakeholder
  • Showing a great understanding of the audience to provide the right level of decision support
  • Comfortable outlining assumptions behind analysis and communicate the scope of the analysis
  • Comfortable with using quantitative techniques (e.g. scenario analysis, machine learning, forecasting, and predictive modeling) to solve business problems
  • Hungry to make processes and systems more effective and efficient
  • Passionate about improving health care delivery
  • Curious, eager to tackle a wide variety of problems, and able to learn independently

You need:
  • Bachelor’ s degree in a quantitative field (statistics, economics, operations research, mathematics, biostatistics etc.)
  • 1-4 years of experience working with real-world data
  • Experience with relational databases and SQL queries
  • Experience with statistical software (R, SAS, or SPSS) or programming (Python, Java, C++, or VBA)
  • Working knowledge in advanced analytics (academic or industry) i.e. machine learning, predictive modeling, forecasting, simulation, optimization
  • Expertise in data visualization (Tableau, R, or python)
  • Presentation skills and experience: verbal, visual, and written

Nice to have:
  • Masters degree in a quantitative field
  • Proficiency in statistical software (e.g. R, SAS, SPSS)
  • Proficiency in a programming language (e.g. Python, Java)
  • Prior work experience in a clinical setting
  • Experience in presenting to executive leaders
  • Experience in delivering multidimensional data to technical and non-technical audiences by use of visualization (tableau, matplotlib, ggplot2)
  • Experience with linear regression
  • Experience with linear and mixed-integer programming (Gurobi/Python, GAMS, Cplex, AMPL)
  • Simulation experience: discrete-event, agent-based, Monte Carlo (Simio, Flexsim, Anylogic, @risk)

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