Process Engineer SWHR CIN
The ideal candidate will possess the following qualifications:
Education
Bachelor's Degree Healthcare or Industrial Engineering Required
Master's Degree Healthcare or Industrial Engineering Preferred
Experience
2 years extensive experience in Data Analytics, Project Management, Relational
Databases, and Power BI (with Bachelor's Degree) Required
2 years extensive experience in Data Analytics, Project Management, Relational
Databases, and Power BI (with Master's Degree) Preferred and
1 year experience using Simulation Software (Promodel, Process Simulator,
MedModel and FutureFlow Rx) or other sophisticated simulation software to
analyze and visually display input data and run models Preferred or
1 year experience using Optimization Software (MATLAB, Maple, GNU Octave,
Scilab etc.) or other sophisticated Optimization Software to analyze and
visually display input data associated with health conditions and services Preferred
Licenses and Certifications
SSGBC - Six Sigma Green Belt Certification ASQ CSSGB 6 Months After Hire Required
Skills
Must be proficient in Office 365 (Excel, Access, etc.)
Communication skills that demonstrate the ability to develop consensus among
several cross functional teams including, but not limited to physicians,
leadership and clinical staff and develop advanced visualizations for
leadership and end-users.
Strong interpersonal skills with the ability to work independently or in teams.
Results driven with the ability to manage projects & initiatives to
completion.
Demonstrated ability to drive project implementation working with diverse
customer groups, establishing responsibility/accountability for assigned
clinics for process improvement.
Analytical and data driven demonstrated experience in at least some of the
following areas: SQL/relational databases, inferential statistics, and research
methods
Advanced knowledge and skills on common software (such as Minitab, Office 365
applications, Power BI, Tableau, Access, Excel, QI Macros).
Advanced knowledge of continuous process improvement and problem-solving
methodologies.
Knowledge, exposure, or expertise in process improvement principles, such as
continuous improvement, complex problem solving, cost benefit, analysis, Six
Sigma and/or Lean, project management, statistics, operations research, data
mining, regression analysis, forecasting, quality control / statistical process
control, work/motion study, design of experiments, process or value stream
mapping.
Travel Requirements
10% local travel within D/FW Metroplex as needed for meetings
Supervision
Individual Contributor
ADA Requirements
Working Indoors 67% or more
Physical Demands
Light Work