Texas Health Resources Senior Data Analytics Process Engineer in Texas
Southwestern Health Resources (SWHR CIN) seeks to hire a Senior Data Analytics Process Engineer to work Full Time supporting the Quality department.
Please note: Southwestern Health Resources Clinically Integrated Network (SWHR CIN) is an affiliated company of Texas Health and UT Southwestern. If hired for this position, you will become a SWHR CIN employee rather than a Texas Health or UT Southwestern employee.
The address is 6800 Windhaven, The Colony, TX 75056
Salary range is Min $36.30 - Max $55.37 – based on relevant experience
Monday-Friday, 8:00-5:00 p.m.
Responsible for researching and understanding current knowledge of health care delivery trends and evidence-based solutions for improving the delivery of care and services.
Responsible for leading the design, operation and implementation of network initiatives and programs to improve system processes in order to maintain efficiency, reduce cost, access to care and improve sustainability.
Responsible for leading and managing multiple projects at a time and able to prioritize timelines to ensure milestones are met.
Lead and support data collection, analysis, and assessments through physical observations and system reporting to develop proposals & recommendations for senior leadership on network improvements.
Responsible for performing independent complex data analysis (such as data manipulation, analysis, mathematical modeling, problem-solving and advanced statistics) requiring the integration of multiple sources, evaluation of data quality, and standardization of data to consistent structure and able to summarize and present data findings.
Well-versed in the concepts of Lean 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.
Engage in knowledge and hypothesis generation, predictive modeling, systems design and optimization.
Analyze, develop recommendations, and lead implementation of multi-site or moderate to high risk level continuous improvement and processes by utilizing Lean tools such as Kanban, spoke tools, 5Y, Plan-Do-Check-Act, value stream mapping and A3 thinking.
Develops and delivers business plans or models to the business unit to support the business. Facilitate intermediate teams and meeting having explicit objective and scope.
Lead kaizen events, and cross functional value stream/process mapping.
Define intermediate to high risk or intermediate to high level problems, collect data, analyze data, offer solutions, and implement to achieve the desire results.
Designs/develops predictive modeling, linear programming, systems simulation models and computational algorithms/analysis.
Prioritizes project issues and assists in the resolutions process to meet productivity, quality, and organizational goals and contractual delivery requirements.
Performs other duties assigned including, but not limited to, participation in the Equip program and mentoring, coaching or training others.
May publish or present technical papers and/or poster presentations on process improvement work to share with industry.
Keywords: “HEALTH CARE” “INDUSTRIAL ENGINEERING” “SIX SIGMA” “DATA ANALYSIS” “GIS” “NETWORK INITIATIVES & IMPROVEMENTS” “HEALTH CARE DELIVERY TRENDS”
The ideal candidate will possess the following qualifications:
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
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
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
10% Local Travel within D/FW as needed for meetings.
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.
Working Indoors 67% or more
Employment opportunities are only reflective of wholly owned Texas Health Resources entities.
We are an Equal Opportunity Employer and do not discriminate against any employees or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.