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Decision Support Jobs (NOW HIRING)

InstantServe LLC

Decision Support Administrator

$18.50 - $25.25/hr

Job Title: Senior Workforce Economist / Decision Support Administrator Location: Tallahassee, FL (Remote) Duration: 12 Month with possible extension Core Competencies: Economic Analysis & Labor ...

Apex Informatics

Decision Support Administrator

Title: Decision Support Administrator Location: Remote Required Qualifications Core Competencies 1. Economic Analysis & Labor Market Research * Ability to apply economic theories and quantitative ...

Celestica

Decision Support Advisor

Fort Worth, TX · On-site

Decision Support Advisor Job Code: ADV-FIN-DEC Job Level: Band 09 Direct/Indirect Indicator: Indirect Summary Acts as project leader and coordinator for the development of the financial plans ...

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Decision Support information

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How much do decision support jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for decision support in the United States is $18.59, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $20.43 per hour, depending on experience, location, and employer.

What is the 3 month rule for jobs?

The 3 month rule in decision support roles often refers to a probation or trial period of approximately three months, during which an employee's performance is evaluated before confirming permanent employment. This period allows employers to assess skills, adaptability, and fit for the role, often involving regular feedback and performance reviews.

What is the difference between Decision Support vs Data Analyst?

AspectDecision SupportData Analyst
Required CredentialsBachelor's degree in business, IT, or related field; certifications like CBIP or PMPBachelor's or master's in statistics, mathematics, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentBusiness settings, consulting firms, or corporate departmentsData-focused teams within organizations, research institutions, or consulting
Employer & Industry UsageUsed across industries for strategic decision-makingPrimarily in finance, marketing, healthcare, and tech sectors for data analysis

Decision Support professionals focus on providing strategic insights and recommendations to aid managerial decisions, often utilizing business intelligence tools. Data Analysts primarily analyze data sets to identify trends and generate reports. While both roles require analytical skills, Decision Support emphasizes decision-making processes, whereas Data Analysts concentrate on data interpretation and reporting.

What's a good job for overthinkers?

Decision Support roles often involve analyzing data, evaluating options, and providing recommendations, which can suit overthinkers who enjoy careful consideration. These jobs typically require strong analytical skills, attention to detail, and proficiency with tools like spreadsheets or data visualization software. They often involve structured environments with clear processes, reducing the need for impulsive decisions.

What are the key skills and qualifications needed to thrive in Decision Support, and why are they important?

To thrive in Decision Support, you need strong analytical skills, proficiency in data interpretation, and typically a background in business, finance, or a related field. Familiarity with data analysis tools such as Excel, SQL, and business intelligence platforms like Tableau or Power BI is commonly required. Excellent communication, problem-solving abilities, and attention to detail are vital soft skills in this role. These competencies are essential for delivering actionable insights that guide organizational strategy and improve operational efficiency.

What is decision support in a business context?

Decision support refers to processes, systems, or professionals that help organizations make informed decisions by analyzing data and providing actionable insights. It often involves the use of decision support systems (DSS), which integrate data, sophisticated analytical models, and user-friendly interfaces to assist managers in solving complex problems. Decision support professionals gather relevant data, perform analyses, and present findings to guide strategic or operational choices, ultimately helping a business to operate more effectively and efficiently.

What jobs pay 4000 a week without a degree?

Decision support 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 roles often rely on experience, certifications, or licensing rather than formal education and may involve commission, bonuses, or overtime to reach high weekly earnings.

What does a Decision Support specialist do?

A Decision Support specialist analyzes data and provides insights to help organizations make informed decisions. They often use tools like data analysis software and require strong analytical skills, working closely with management to develop reports, models, and recommendations based on data trends.

How does a Decision Support professional typically collaborate with other departments within an organization?

Decision Support professionals work closely with various departments, such as finance, operations, and IT, to gather and analyze data for informed decision-making. They often participate in cross-functional meetings to understand specific business challenges and tailor their analyses to meet departmental needs. Effective communication and a collaborative mindset are key, as they must translate complex data insights into actionable recommendations for non-technical stakeholders. This collaborative approach not only enhances the quality of business decisions but also fosters a culture of data-driven strategy across the organization.
More about Decision Support jobs
What cities are hiring for Decision Support jobs? Cities with the most Decision Support job openings:
What are the most commonly searched types of Decision Support jobs? The most popular types of Decision Support jobs are:
What states have the most Decision Support jobs? States with the most job openings for Decision Support jobs include:
Decision Support jobs near you
Infographic showing various Decision Support job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $38,671 per year, or $18.6 per hour.
Decision Support Administrator

Decision Support Administrator

Apex Informatics

Ocoee, FL • On-site

Other

Re-posted 29 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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