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Decision Support Jobs (NOW HIRING)

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 ...

Abbott

Decision Support Tools Engineer

Alameda, CA · On-site

Our breakthrough wearable technologies support medical decision making and encourage patient-centric care with the combined aim of improving medical outcomes. Although we are part of a Fortune 500 ...

kgs

Decision Support Planner

Falls Church, VA · On-site

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a Decision Support Planner with a TS/SCI security clearance to support KITS and our government customer in Falls Church, VA.

Nebraska Medicine

Senior Decision Support Analyst

Omaha, NE · On-site

$81K - $101K/yr

As a Senior Decision Support Analyst, you'll play a critical role in transforming financial, clinical and operational information into meaningful insights that guide the future of Nebraska Medicine.

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 ...

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 ...

RELX

Decision Support Sr. Analyst

Dayton, OH · On-site

$71K - $119K/yr

This role plays a critical part in enabling effective business decision support through accurate reporting, financial insight and scalable analytics supported by building auditable reports and ...

LexisNexis

Decision Support Sr. Analyst

Raleigh, NC · On-site

$71K - $119K/yr

This role plays a critical part in enabling effective business decision support through accurate reporting, financial insight and scalable analytics supported by building auditable reports and ...

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How much do decision support jobs pay per hour?

As of Sep 15, 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 decision support?

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 are the key skills and qualifications needed to thrive in decision support?

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.

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.

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.

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Decision Support jobs near you
Infographic showing various Decision Support job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $38,671 per year, or $18.6 per hour.

Decision Support Administrator

Remote

Apex Informatics
IT Services • 1 - 10 employees
Learn more about Apex Informaticsexternal

Other

Re-posted 4 days ago

Job description

Title: Decision Support Administrator
Location: Remote
Job Description:
Required Qualifications
Core Competencies
1. Economic Analysis & Labor Market Research
  • Ability to apply economic theories and quantitative methods to analyze workforce trends, employment patterns, and labor market dynamics.
  • Expertise in interpreting economic indicators and their implications for workforce development policy.

2. Data Analytics & Statistical Modeling
  • Proficiency in advanced statistical techniques, econometrics, and predictive modeling.
  • Skilled in using large datasets to identify trends, forecast employment needs, and evaluate program effectiveness.

3. Policy Evaluation & Impact Assessment
  • Competence in assessing the economic impact of workforce development programs and policies.
  • Ability to provide evidence-based recommendations to inform decision-making.

4. Technical Communication & Reporting
  • Strong ability to translate complex economic data into clear, actionable insights for policymakers, stakeholders, and the public.
  • Skilled in preparing technical reports, dashboards, and presentations.

5. Project Management & Collaboration
  • Ability to manage research projects from design to completion, ensuring accuracy and timeliness.
  • Effective collaboration with state agencies, educational institutions, and industry partners.

Knowledge, Skills, and Abilities (KSAs)
Knowledge
  • Principles of microeconomics, macroeconomics, and labor economics.
  • Knowledge of the policies established in the Workforce Innovation and Opportunity Act (WIOA).
  • Knowledge of Florida's implementation of WIOA and related workforce policy, including the 2021 Reimagining Education and Career Help (REACH) Act.
  • Statistical software (e.g., R, SAS, Stata, Python) and data visualization tools.
  • Survey design and sampling methodologies.
  • Longitudinal data analysis of program participants.
  • Economic impact analysis and cost-benefit evaluation techniques.

Skills
  • Advanced quantitative and qualitative research skills.
  • Data cleaning, integration, and analysis using large administrative datasets.
  • Econometric modeling and forecasting.
  • Technical writing and presentation skills for diverse audiences.
  • Proficiency in database management and data visualization.

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