SAS/R Statistical Programmer (Remote Role)

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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, 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 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).

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