Decision Support Administrator - Advanced - 26-01354

Job Description

Job DescriptionJob Title: Decision Support Administrator – AdvancedLocation

• Pensacola, FL (Remote)

Duration

• Short-term contract (approx. 3 months)

Job Summary

The Decision Support Administrator – Advanced supports business intelligence and decision-support initiatives by assisting users with data querying, reporting, and analytical tools. This role focuses on optimizing report performance, supporting OLAP environments, maintaining metadata integrity, and ensuring secure, reliable access to enterprise data systems. The position works remotely and collaborates with cross-functional teams to support data-driven decision-making.

General Responsibilities

• Support the user community in utilizing business intelligence and reporting tools to query databases and generate reports.

• Assist users with OLAP tools, data extraction, and report development.

• Review and optimize queries for performance and efficiency.

• Participate in the design, development, and enhancement of reports and dashboards.

• Develop and maintain user documentation and training materials.

• Monitor system usage and batch queries to ensure performance, interoperability, and security.

• Support upgrades and maintenance of enterprise-wide reporting and analytics tools.

• Maintain metadata coordination and support production reporting systems.

• Apply data modeling, process modeling, and data architecture methodologies to support analytics solutions.

Complexity & Work Environment

• Provides direct support to a diverse user community.

• Works on one or more projects as a member of a project team.

• Performs duties with a high level of independence under general direction from senior staff or management.

Core Competencies1. Economic Analysis & Labor Market Research

• Apply economic theory and quantitative methods to analyze workforce and labor market trends.

• Interpret economic indicators and assess their impact on workforce development initiatives.

2. Data Analytics & Statistical Modeling

• Utilize advanced statistical methods, econometrics, and predictive modeling techniques.

• Analyze large datasets to identify trends, forecast workforce needs, and evaluate program outcomes.

3. Policy Evaluation & Impact Assessment

• Assess economic and workforce policy impacts using data-driven methodologies.

• Provide evidence-based insights to support strategic decision-making.

4. Technical Communication & Reporting

• Translate complex analytical findings into clear, actionable insights.

• Prepare technical reports, dashboards, and presentations for varied audiences.

5. Project Management & Collaboration

• Manage analytical and reporting initiatives from planning through delivery.

• Collaborate effectively with cross-functional teams and external partners.

Knowledge, Skills, and Abilities (KSAs)Knowledge

• Microeconomics, macroeconomics, and labor economics principles.

• Workforce development policies and programs (including WIOA or equivalent frameworks).

• Statistical and analytical software such as R, SAS, Stata, Python, or similar tools.

• Data visualization and reporting platforms.

• Survey design, sampling methodologies, and longitudinal data analysis.

• Economic impact analysis and cost-benefit evaluation techniques.

Skills

• Advanced quantitative and qualitative research techniques.

• Data cleansing, integration, and analysis of large administrative datasets.

• Econometric modeling, forecasting, and performance analysis.

• Technical writing and presentation for both technical and non-technical audiences.

• Database management and business intelligence tools.

Abilities

• Synthesize complex data into meaningful insights for policy and business decisions.

• Communicate analytical results clearly to stakeholders.

• Work independently and collaboratively in multidisciplinary environments.

• Adapt analytical approaches to evolving data and policy needs.

• Maintain data accuracy, integrity, and confidentiality under tight deadlines.

Education & Experience Requirements

• Associate’s or Bachelor’s degree in Computer Science, Information Systems, Economics, Statistics, or a related field; or

• Equivalent professional experience, including:

  • Minimum of 7 years of IT or analytics experience, with at least:

    • 5 years supporting business intelligence tools and systems, or

    • 5 years performing economic, statistical, or workforce data analysis.