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Decision Support Systems Jobs (NOW HIRING)

Celestica

Decision Support Advisor

Fort Worth, TX · On-site

Decision Support Advisor Job Code: ADV-FIN-DEC Job Level: Band 09 Direct/Indirect Indicator ... systems. * Strong communication, negotiation and presentation skills. * Ability to evaluate ...

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How much do decision support systems jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for decision support systems in the United States is $25.03, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $28.37 per hour, depending on experience, location, and employer.

What are the 4 types of DSS?

Decision Support Systems (DSS) are typically classified into four types: data-driven, model-driven, knowledge-driven, and communication-driven. Data-driven DSS focus on managing and analyzing large data sets, while model-driven DSS use mathematical models for decision analysis. Knowledge-driven DSS provide expert knowledge, and communication-driven DSS facilitate collaboration among users.

What is the 3 month rule for jobs?

The 3 month rule in decision support systems or related jobs often refers to a probation or trial period during which an employee's performance is evaluated. During this time, employers assess skills, adaptability, and fit for the role, and it may influence ongoing employment or contract renewal. This period is common in many organizations to ensure the employee meets job requirements before full confirmation.

How does a professional working in Decision Support Systems typically collaborate with other departments to drive effective decision-making?

Professionals in Decision Support Systems (DSS) often work closely with various departments such as finance, operations, and IT to gather data, understand business needs, and develop tailored analytical solutions. Collaboration usually involves frequent meetings to define requirements, share insights, and refine models or dashboards. DSS specialists translate complex data into actionable recommendations, ensuring that stakeholders across the organization have access to accurate information for strategic planning. This cross-functional teamwork is crucial for implementing systems that truly support informed, data-driven decisions.

What's a good job for overthinkers?

Decision Support Systems roles often involve analyzing complex data and making informed recommendations, which can suit overthinkers who enjoy detailed analysis. These jobs typically require strong problem-solving skills, attention to detail, and proficiency with data analysis tools or software. They often involve working in environments that value careful consideration and logical decision-making.

What is the difference between Decision Support Systems vs Data Analysts?

AspectDecision Support SystemsData Analysts
Required CredentialsTypically degrees in information systems, computer science, or related fieldsBachelor's or master's in statistics, mathematics, or data science
Work EnvironmentOften in IT or business intelligence teams, working with software development and data managementIn data analysis teams, focusing on data collection, cleaning, and interpretation
Employer & Industry UsageUsed across industries for decision-making support, including healthcare, finance, and retailCommon in analytics firms, finance, marketing, and consulting

Decision Support Systems focus on creating software tools to aid decision-making processes, often involving system development and integration. Data Analysts interpret data to provide insights, reports, and recommendations. While both roles work with data, Decision Support Systems are more technical and system-oriented, whereas Data Analysts focus on data interpretation and reporting.

What are Decision Support Systems?

Decision Support Systems (DSS) are computer-based information systems that support business or organizational decision-making activities. They help users analyze large volumes of data, generate useful information, and make informed decisions. DSS can include tools for modeling, data analysis, and visualization, and are used in a variety of fields such as healthcare, finance, and logistics. By providing timely and relevant information, DSS improve the quality, speed, and effectiveness of decisions.

What are the key skills and qualifications needed to thrive as a Decision Support Systems (DSS) Analyst, and why are they important?

To thrive as a Decision Support Systems Analyst, you need strong analytical skills, a background in computer science or information systems, and experience with data analysis and modeling. Familiarity with DSS software, database management systems (like SQL), and business intelligence tools (such as Tableau or Power BI) is typically required, along with relevant certifications. Excellent problem-solving, communication, and critical thinking abilities help facilitate collaboration and translate complex data into actionable insights. These skills are crucial for enabling informed decision-making and optimizing organizational strategies.

What jobs pay 4000 a week without a degree?

Decision Support Systems roles typically require specialized knowledge and often a degree, but high-paying jobs that can reach $4,000 weekly without a degree include sales managers, real estate brokers, commercial pilots, and certain skilled trades like electricians or plumbers with experience. These positions often rely on experience, certifications, or licensing rather than formal education alone.
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What job categories do people searching Decision Support Systems jobs look for? The top searched job categories for Decision Support Systems jobs are:
Decision Support Systems jobs near you
Infographic showing various Decision Support Systems job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $52,061 per year, or $25 per hour.
Technical Product Specialist, Decision Support

Technical Product Specialist, Decision Support

Strata Decision Technology

Chicago, IL • On-site

$55K - $85K/yr

Other

Medical, Life, Retirement, PTO

Posted 8 days ago

Job description

As a Decision Support Technical Product Specialist, you will own complex, data-driven issues from initial investigation through resolution for our StrataJazz healthcare customers. This role combines deep technical problem solving-leveraging data models, system behavior, and SQL driven insights-with clear, confident customer communication. 

While this role involves resolving customer-submitted tickets, it goes beyond basic ticket handling-it is a problem-solving role requiring curiosity, diligence, and accountability. You will act as a trusted technical partner to customers, diagnosing root causes, identifying downstream impacts, and delivering solutions you can confidently stand behind. 

How You'll Make an Impact 

  • Investigate and resolve complex customer-reported issues related to data, system behavior, and application functionality 
  • Use SQL and system knowledge to analyze data discrepancies, validate outputs, and identify root causes 
  • Own issues end-to-end, from initial intake through resolution and follow-up 
  • Identify related or downstream issues beyond the initial problem statement 
  • Validate solutions thoroughly before communicating outcomes to customers 
  • Effectively prioritize and manage cases according to SOP guidelines while maintaining ownership of your backlog 
  • Develop and implement solutions or recommendations to prevent recurring issues 
  • Escalate complex issues when appropriate, with clear documentation and context 
  • Document all customer interactions, findings, and resolutions accurately in case management systems 
  • Collaborate with cross-functional teams (engineering, product, data) to resolve issues and improve system reliability 
  • Provide guidance and support to junior team members 
  • Ensure secure handling of PHI data in compliance with HIPAA and organizational policies 

What Success Looks Like 

Successful team members in this role: 

  • Take ownership of issues and proactively drive them to resolution, seeking guidance when needed while maintaining strong personal accountability 
  • Demonstrate strong SQL proficiency and the ability to investigate complex data scenarios 
  • Understand and navigate relational data models effectively 
  • Think beyond surface-level symptoms to identify root causes and related impacts 
  • Validate their work carefully to ensure accuracy before communicating solutions 
  • Learn new systems and technologies quickly 
  • Communicate clearly, concisely, and confidently with customers 
  • Deliver a high-quality customer experience by demonstrating empathy, setting clear expectations, and consistently following through 
  • Manage multiple priorities while staying organized and responsive 

What We're Looking For 

  • 2+ years of experience with enterprise software, preferably in technical support, development, or a customer-facing technical role 
  • Strong SQL skills, including the ability to write and troubleshoot complex queries 
  • Ability to understand and work within relational data models 
  • Proven ability to learn new technologies and systems quickly 
  • Strong analytical and problem-solving skills 
  • Experience managing multiple priorities in a fast-paced environment 
  • Excellent written and verbal communication skills 
  • Experience working directly with customers or stakeholders in a technical capacity 

Preferred: 

  • Experience supporting healthcare financial or decision support applications (StrataJazz, Axiom, EPSi) 
  • Familiarity with Salesforce or similar case management tools 
  • Experience with Tableau or similar data visualization tools 
  • Experience troubleshooting data pipelines, ETL processes, or reporting tools 

Work Style 

This is a highly autonomous role. While collaboration and guidance across our teams are always available and encouraged, you will be expected to independently investigate, diagnose, and resolve complex issues. The ideal candidate enjoys digging into challenging problems, working with data, and taking ownership of outcomes. 

Estimated Salary Range: $55,000-85,000
Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.

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