ICF International - Reston, VA

posted 4 days ago

Full-time - Mid Level
Remote - Reston, VA
11-50 employees
Administrative and Support Services

About the position

ICF is seeking a SAS Programmer/Data Manager to develop and implement data management strategies, produce cleaned datasets, and conduct statistical analyses for various projects in public health, housing, military and veteran's issues, energy, transportation, environment, and social and economic policy. This role involves collaboration with a team of data managers, analysts, statisticians, and project managers, focusing on data management processes, documentation, and quality control.

Responsibilities

  • Design, implement, and maintain efficient data cleaning and management programs and procedures to meet client needs and prepare data deliverables.
  • Develop and maintain documentation of data management and quality control procedures.
  • Support senior statistical staff in coding and producing descriptive and basic weighted statistics.
  • Contribute to technical report development and writing.
  • Support innovation in solutioning complex data management challenges.
  • Work in a cross-team/matrixed environment.

Requirements

  • Bachelor's degree in Survey Research/Methods, Statistics, Biostatistics, Epidemiology, Public Health, Mathematics, or other relevant statistical or social science field.
  • At least 3 years of applied and demonstrable SAS experience using SAS for survey data management or analysis.
  • Experience with Base SAS Procedures such as FREQ, TRANSPOSE, APPEND, FORMAT, DATASETS, REPORT, MEANS, UNIVARIATE, TABULATE.
  • Knowledge of advanced SAS techniques such as arrays, macros, PROC SQL.
  • Proficiency in Microsoft Office products including Excel, Word, and PowerPoint.
  • Strong problem solving and critical thinking skills as it relates to data solutioning.
  • Ability to communicate with internal and external clients at all levels to obtain or clarify project requirements.

Nice-to-haves

  • Master's degree in Survey Research/Methods, Statistics, Biostatistics, Epidemiology, Public Health, Mathematics, Data Sciences, or other relevant statistical or social science field.
  • Base or Advanced SAS certifications.
  • Experience conducting statistical analyses using univariate, bivariate, and multivariate analysis methods.
  • Hands-on experience with other statistical programming or scripting languages (R, SPSS, Stata, Python, SQL).
  • Experience supporting the design and application of sampling techniques and calculation of survey weights.

Benefits

  • Competitive salary range of $69,862.00 - $118,765.00 per year.
  • Remote work flexibility.
  • Inclusive workplace culture with a commitment to diversity and equal opportunity.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service