Senior Data Analytics Process Engineer
The ideal candidate will possess the following qualifications:
Education
Bachelor's Degree in Healthcare or Industrial Engineering, GIS, Geology,
Geography, Geomatics Required
Master's Degree Healthcare or Industrial Engineering, GIS, Geology, Geography,
Geomatics Preferred
Experience
- 4 years extensive experience Required in Data Analytics, Project Management,
Relational Databases, & Power BI
- 3 years’ experience Preferred 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
- 3 years’ experience Preferred 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
- 4 years’ experience Preferred using
Geographic Information Systems (ESRI) or other sophisticated Mapping Software
to analyze and visually display input data associated with geographically based
information. Proven experience in Spatial Analysis, Develop Workflow and GIS
Modeling Techniques for normal business operations, automate possibly perform
programming, i.e., Python, SQL, JavaScript, C++, Visual Basic and Java
Licenses and Certifications
SSGBC - Six Sigma Green Belt Certification ASQ CSSGB 6 Months Upon Hire Required
Other ESRI Technical Certification or GISP Certification Upon Hire Preferred
Travel Requirements
10% Local Travel within D/FW as needed for meetings.
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.
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 & 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.
Supervision
Individual Contributor
ADA Requirements
Working Indoors 67% or more
Physical Demands
Sedentary