Research Associate
EDUCATION, SKILLS AND KNOWLEDGE:
A masters degree in statistics or a relevant quantitative field, a bachelors degree with course work in applied and/or mathematical statistics and at least one year of work experience in a data processing environment, or four years of job experience in a related quantitative field with similar duties and responsibilities.
Knowledge of and demonstrated experience with the SAS programming language, including evidence of analyses carried out in support of statistical or psychometric projects.
Knowledge of Microsoft Office tools (Word, Excel, Powerpoint)
Ability to work independently in a quantitative setting.
Strong organizational skills and keen attention to detail.
Ability to work in a team environment.
Proven ability to manage job responsibilities to meet established deadlines.
Effective communication skills.
DUTIES AND RESPONSIBILITIES:
With minimal supervision, performs operational statistical analysis and data processing tasks for assigned testing programs.
Reviews results of statistical and psychometric analyses for accuracy.
Monitors the completion of the tasks identified in the context of the processing schedule, including the receipt of critical information from other areas.
With minimal supervision, creates datasets, codes parameters for psychometric programs (e.g., WINSTEPS, MULTILOG) from existing templates, and submits programs for execution.
Drafts standard statistical reports and assists in the preparation of complex reports.
Prepares and checks critical information for score reporting, tables, and figures for statistical procedures, documentation, and reports.
Under guidance from more senior staff, may provide training and functional supervision of lower level statistical analysis staff.
Drafts routine statistical procedures and other documents for assigned testing programs and projects, working from model formats and using planning information from staff in psychometric services, program management, software services, and content support services.
Programs and runs statistical analyses using SAS and other programming languages.
Assists in preparing program documentation, updates and maintains statistical files and operational data file for assigned programs and projects.
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