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Decision Engineer Jobs in Kansas (NOW HIRING)

At TreviPay, we're looking for a Directo r of Decision Science who is a data-driven risk expert who ... Support Engineering and Product teams with resolution of roadblocks and interdependencies.

HiFyve is hiring a Certification Engineer in the Aerospace industry! * Salary: $70,000-$85,000/year ... Strong decision-making, prioritization, and time management abilities * Ability to work effectively ...

Decision-making and accountability * Ability to manage multiple priorities effectively * High ... Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or ...

Analytics Engineer

Newton, KS · On-site

$118K - $177K/yr

... decision making. You have worked with teams to serve as the domain expert pertaining to Data ... Collaborate with departments, engineers, and data scientists to align on data needs and strategies ...

Manufacturing Engineer Summary/Objective The Manufacturing Engineer position develops and ... Provides manufacturing decision-making information by calculating production, labor, and material ...

Manufacturing Engineer

Wamego, KS · On-site

$25 - $35/hr

Manufacturing Engineer Summary/Objective The Manufacturing Engineer position develops and ... Provides manufacturing decision-making information by calculating production, labor, and material ...

$180K - $200K/yr

Engage new and existing accounts to identify and build relationships with champions and decision makers. * Help build and be a part of an awesome culture. About you: * 3-5 years Sales Engineering ...

SUMMARY The Certification Engineer I supports engineering and product development efforts through ... Sound judgment and decision-making skills * Strong research and information-gathering abilities ...

Overview The Packaging Engineer designs, improves, and implements packaging solutions for Kubota ... Datadriven decision making. * Ability to manage multiple projects. * Continuous improvement mindset.

Overview The Packaging Engineer designs, improves, and implements packaging solutions for Kubota ... Datadriven decision making. * Ability to manage multiple projects. * Continuous improvement mindset.

Overview The Packaging Engineer designs, improves, and implements packaging solutions for Kubota ... Data-driven decision making. * Ability to manage multiple projects. * Continuous improvement ...

Good judgment and decision-making abilities * Effective troubleshooting and problem solving skills * Ability to concentrate in a diverse work setting * Good mechanical aptitude * Good working ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... Contribute to alignment and informed decision-making. Impact This role directly contributes to ...

Good judgment and decision-making abilities * Effective troubleshooting and problem solving skills * Ability to concentrate in a diverse work setting * Good mechanical aptitude * Good working ...

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Decision Engineer information

What are the key skills and qualifications needed to thrive as a Decision Engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

How does a Decision Engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What are Decision Engineers?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Decision Engineer jobs in Kansas? For Decision Engineer jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Decision Engineer jobs? Cities in Kansas with the most Decision Engineer job openings:
Decision Support Analyst II - Decision Support - FT - Day

Decision Support Analyst II - Decision Support - FT - Day

Stormont Vail Health

Topeka, KS • Remote

Full-time

Posted 4 days ago


Stormont Vail Health rating

6.0

Company rating: 6.0 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

748th of 890 rated healthcare providers


Job description

Position Status:

Full time

Shift:

First Shift (Days - Less than 12 hours per shift) (United States of America)

Hours per week:

40

Job Information
Exemption Status: Exempt
A Brief Overview
The Decision Support Analyst II supports strategic, financial, operational, and clinical decision-making across a regional health system through data analysis, reporting, budgeting, forecasting, and performance improvement initiatives. This role partners with leadership, finance, HR, clinical, and operational teams to develop actionable insights, improve operational efficiency, support regulatory compliance, and enhance patient care outcomes. The analyst will manage and analyze complex healthcare data, maintain reporting and decision support systems, and deliver clear, data-driven recommendations to stakeholders across the organization.
Education Qualifications

  • Bachelor's Degree Finance, Accounting, Business, Healthcare Administration, Data Analytics/Science, Computer Science, or a related quantitative field. Required
  • Master's Degree Finance, Accounting, Business, Healthcare Administration, Data Analytics/Science, Computer Science, or a related quantitative field Preferred


Experience Qualifications

  • 3 years Healthcare analytics, financial analysis, decision support, business intelligence, reporting, or data management. Required
  • 3 years Experience working within hospital systems, clinic networks, or healthcare operations. Preferred
  • 3 years Experience with financial modeling, budgeting, forecasting, and operational analytics, data governance, data engineering. Preferred


Skills and Abilities

  • Advanced analytical, problem-solving, and critical-thinking skills.
  • Proficiency with SQL, Power BI, Tableau, Strata, Workday, EPIC, Fabric, Microsoft Office Suite (Bonus Python, DAX, Power QueryM).
  • Experience with report creation and maintenance; healthcare operations, finance, clinical, and regulatory.
  • Experience building dashboards, data visualizations, and developing key performance metrics.
  • Skilled in communicating/presenting complex analysis to senior stakeholders
  • Working knowledge of best practices in; relational databases, data governance, and data integrity.


What you will do

  • Provide actionable insights that improve operational performance, financial outcomes, and organizational effectiveness.
  • Build and maintain dashboards, scorecards, reports, and analytical models for leadership and department stakeholders.
  • Query and integrate data from electronic medical records, ERP systems, claims systems, HR systems, and other organizational data sources.
  • Analyze historical and forecast opportunities for operational improvement, cost reduction, and quality enhancement.
  • Design, validate, and monitor key performance indicators and metrics with senior stakeholders.
  • Ensure data accuracy, integrity, governance, and compliance with organizational and regulatory standards.
  • Collaborate with multidisciplinary teams to translate business needs into analytical solutions and actionable recommendations.
  • Present analysis and recommendations for strategic planning to senior stakeholders through reports, dashboards, and presentations.
  • Support continuous improvement initiatives and contribute to the development of best practices in analytics and decision support.
  • Develop and deploy advanced analytic methods that improve patient outcomes and operational decision-making.
  • Support/maintain proforma development, strategic planning, capital investment analysis.


Required for All Jobs

  • Complies with all policies, standards, mandatory training and requirements of Stormont Vail Health
  • Performs other duties as assigned


Patient Facing Options

  • Position is Not Patient Facing


Remote Work Guidelines

  • Workspace is a quiet and distraction-free allowing the ability to comply with all security and privacy standards.
  • Stable access to electricity and a minimum of 25mb upload and internet speed.
  • Dedicate full attention to the job duties and communication with others during working hours.
  • Adhere to break and attendance schedules agreed upon with supervisor.
  • Abide by Stormont Vail's Remote Worker Policy and will review and acknowledge the Remote Work Agreement annually.


Remote Work Capability

  • Hybrid


Scope

  • No Supervisory Responsibility

  • No Budget Responsibility No Budget Responsibility


Physical Demands

  • Balancing: Rarely less than 1 hour
  • Carrying: Rarely less than 1 hour
  • Climbing (Ladders): Rarely less than 1 hour
  • Climbing (Stairs): Rarely less than 1 hour
  • Crawling: Rarely less than 1 hour
  • Crouching: Rarely less than 1 hour
  • Grasping (Fine Motor): Occasionally 1-3 Hours
  • Grasping (Gross Hand): Rarely less than 1 hour
  • Handling: Occasionally 1-3 Hours
  • Hearing: Frequently 3-5 Hours
  • Kneeling: Rarely less than 1 hour
  • Lifting: Rarely less than 1 hour
  • Pulling: Rarely less than 1 hour
  • Pushing: Rarely less than 1 hour
  • Reaching (Forward): Rarely less than 1 hour
  • Reaching (Overhead): Rarely less than 1 hour
  • Repetitive Motions: Frequently 3-5 Hours
  • Sitting: Frequently 3-5 Hours
  • Standing: Rarely less than 1 hour
  • Stooping: Rarely less than 1 hour
  • Talking: Occasionally 1-3 Hours
  • Walking: Occasionally 1-3 Hours


Working Conditions

  • Dusts: Rarely less than 1 hour
  • Noise/Sounds: Rarely less than 1 hour

Stormont Vail is an equal opportunity employer and adheres to the philosophy and practice of providing equal opportunities for all employees and prospective employees, without regard to the following classifications: race, color, ethnicity, sex, sexual orientation, gender identity and expression, religion, national origin, citizenship, age, marital status, uniformed service, disability or genetic information. This applies to all aspects of employment practices including hiring, firing, pay, benefits, promotions, lateral movements, job training, and any other terms or conditions of employment.

Retaliation is prohibited against any person who files a claim of discrimination, participates in a discrimination investigation, or otherwise opposes an unlawful employment act based upon the above classifications.


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