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SAS/R Statistical Programmer (Remote Role)
About this Position:
Job Title: SAS/R Statistical Programmer
Responsibilities:
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User Support: Guides the community in using Business Intelligence (BI) and OLAP tools for data extraction and reporting.
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Query Optimization: Reviews and modifies queries to resolve performance issues and ensure system efficiency.
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Report Development: Participates in designing reports and creating comprehensive user documentation.
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System Maintenance: Monitors usage, manages tool upgrades, and ensures the security and interoperability of front-end components.
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Data Oversight: Coordinates metadata, supports production systems, and applies data modeling and architectural methodologies.
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Economic Research: Applies economic theory and quantitative methods to analyze labor market dynamics and workforce trends.
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Advanced Analytics: Utilizes econometrics and predictive modeling to forecast employment needs and identify key trends.
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Policy Evaluation: Assesses the impact of workforce programs to provide evidence-based recommendations for decision-makers.
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Technical Communication: Translates complex data into actionable insights through dashboards, reports, and stakeholder presentations.
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Project Management: Leads research projects independently while collaborating with state agencies and industry partners.
Knowledge
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Principles of microeconomics, macroeconomics, and labor economics.
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Knowledge of the policies established in the Workforce Innovation and Opportunity Act (WIOA).
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Knowledge of State's WIOA implementation and the 2021 REACH Act.
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Statistical software (e.g., R, SAS, Stata, Python) and data visualization tools.
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Survey design and sampling methodologies.
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Longitudinal data analysis of program participants.
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Economic impact analysis and cost-benefit evaluation techniques.
Skills:
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Advanced quantitative and qualitative research skills.
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Data cleaning, integration, and analysis using large administrative datasets.
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Econometric modeling and forecasting.
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Technical writing and presentation skills for diverse audiences.
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Proficiency in database management and data visualization.
Abilities:
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Interpret and synthesize complex economic data for policy development.
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Communicate findings effectively to non-technical stakeholders.
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Work independently and collaboratively on multidisciplinary teams.
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Adapt research approaches to emerging workforce trends and policy priorities.
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Maintain accuracy and integrity in data analysis under tight deadlines.
Staff Qualification:
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Associate's or Bachelor's Degree or technical institute degree/certificate in Computer Science, Information Systems, or other related field, or;
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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).