SAS/R Statistical Programmer (Remote Role)

About this Position:

Job Title: SAS/R Statistical Programmer

Responsibilities:

1. User Support: Guides the community in using Business Intelligence (BI) and OLAP tools for data extraction and reporting.

2. Query Optimization: Reviews and modifies queries to resolve performance issues and ensure system efficiency.

3. Report Development: Participates in designing reports and creating comprehensive user documentation.

4. System Maintenance: Monitors usage, manages tool upgrades, and ensures the security and interoperability of front-end components.

5. Data Oversight: Coordinates metadata, supports production systems, and applies data modeling and architectural methodologies.

6. Economic Research: Applies economic theory and quantitative methods to analyze labor market dynamics and workforce trends.

7. Advanced Analytics: Utilizes econometrics and predictive modeling to forecast employment needs and identify key trends.

8. Policy Evaluation: Assesses the impact of workforce programs to provide evidence-based recommendations for decision-makers.

9. Technical Communication: Translates complex data into actionable insights through dashboards, reports, and stakeholder presentations.

10. Project Management: Leads research projects independently while collaborating with state agencies and industry partners.

Knowledge

• Principles of microeconomics, macroeconomics, and labor economics.

• Knowledge of the policies established in the Workforce Innovation and Opportunity Act (WIOA).

• Knowledge of State's WIOA implementation and the 2021 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.

Abilities:

• Interpret and synthesize complex economic data for policy development.

• Communicate findings effectively to non-technical stakeholders.

• Work independently and collaboratively on multidisciplinary teams.

• Adapt research approaches to emerging workforce trends and policy priorities.

• Maintain accuracy and integrity in data analysis under tight deadlines.

Staff Qualification:

• Associate's or Bachelor's Degree or technical institute degree/certificate in Computer Science, Information Systems, or other related field, or;

• Equivalent work experience (A minimum of seven (7) years of IT experience, including five (5) years of experience in business intelligence tools and systems, and/or five (5) years of experience with economic and/or statistical analysis).