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Decision Support Systems Jobs (NOW HIRING)

Highmark Health

Senior Decision Support Analyst

Pittsburgh, PA · On-site

$85K - $113K/yr

Determines how decision support systems will provide information required to make effective business decisions; translates requirements into applications that employ appropriate decision support and ...

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Decision Support Systems information

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$12

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$42

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.
Decision Support Administrator

Decision Support Administrator

Apex Informatics

Ocoee, FL • On-site

Other

Posted 8 days ago

Job description

Description
We are looking for a highly skilled Decision Support Administrator - Advanced who is also an experienced programmer that thrives at the intersection of data, mobility, and real world impact. In this role, you will design, develop, and maintain business intelligence solutions that transform complex transportation datasets into actionable insights that help improve roadway safety, optimize traffic flow, and support long term infrastructure planning. In this role you will identify and interpret data patterns and trends, build data visualization tools such as charts, graphs, develop custom applications and tables for management, ensure the integrity of the data in various ITS systems, and work with stakeholders to establish key performance indicators.
Key Responsibilities
• Build and maintain dashboards, reports, and visualizations for traffic operations, congestion analysis, and safety metrics.
• Develop custom applications, scripts, and automation tools using Python, C#, or other programming languages.
• Develop automated reporting solutions to support daily, weekly, and monthly transportation performance monitoring.
• Assist with developing specific Departmental goals, standards and objectives which directly support the strategic plan and vision of the organization.
• Assist in the development of Quality Management procedures.
• Work closely with cross-functional teams, including traffic engineers, traffic operators, and leadership to understand business requirements and translate them into technical solutions.
• Support data driven decision making for congestion mitigation, safety initiatives, transit planning, and infrastructure investments.
• Create and maintain data pipelines, ETL processes, and data models to support operational and analytical needs.
• Ensure data accuracy, consistency, and reliability across multiple transportation data sources.
• This role requires strong technical skills in data analysis, data visualization, and database management.
• Troubleshoot and optimize BI systems, applications, and reports.
Required Qualifications
• Ability to develop advanced SQL queries, stored procedures, functions and data transformations to support analytics and operational reporting.
• Ability to develop reports and interactive, user-friendly dashboards, utilizing business intelligence tools like Power BI.
• Ability to design and implement data extraction, transformation, and automation workflows using programming languages such as Python and C#.
• Experience working with large datasets, relational databases, and APIs.
• 3-5 years of professional experience in Power BI development, software programming, or data engineering roles, preferably within an IT or government environment.
• Strong analytical, problem solving, and data processing skills required.
• Familiarity with transportation systems such as ATMS, ITS infrastructure, and traffic management platforms.
• Understanding of GIS tools (ArcGIS, QGIS) and spatial data.
• Provide technical guidance on data best practices, visualization standards, and performance metrics.
Soft Skills
• Must have effective verbal and written communication skills.
• Ability to work independently with minimal supervision as well as participating in cross functional teams.
• Ability to deal with ambiguity and adapt quickly to changing client needs.
• Must demonstrate the ability to manage multiple priorities/tasks, deliver timely and accurate work products with a customer service focus, and respond with a sense of urgency as required.
• Proactively identify opportunities to automate, streamline, and improve processes while fostering collaboration and delivering value to customers.
Competencies
• Advanced analytical thinking and complex problem-solving abilities.
• Strong proficiency in data modeling, ETL design, and data architecture.
• Ability to write clean, efficient, and well-documented code in Python, C#, or similar languages.
• Expertise in SQL, including performance tuning and optimization.
• Proficiency in BI visualization best practices and dashboard usability design.
• Strong understanding of relational databases, APIs, and integration methods.
• Ability to interpret business needs and translate them into technical specifications.
• Competence in version control systems such as Git, Azure DevOps or TFS.
• Ability to troubleshoot complex data, application, and ETL issues.
• Strong quality assurance mindset, ensuring accuracy and consistency across data products.

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