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Specialist, Measurement

Work from home Full-time role Hiring

The Specialist, Measurement will use their knowledge of data management, statistical programming, quality assurance procedures, and statistical reporting to support the development of licensure and certification exams and ensure quality of data files and technical reports. This role aligns to industry-level titles such as Statistical Analyst SCOPE AND IMPACT OF JOB Work closely with the Measurement and Research staff to automate and streamline data cleaning and preparation, statistical and psychometric analysis, and the production of technical reports. The role also serves as the technical liaison between Measurement and Research staff and the software developers responsible for Pearson’s Business Intelligence. REQUIRED KNOWLEDGE AND EXPERIENCE Education and Experience: Master’s degree in statistics or related quantitative field. Bachelor’s degree in statistics or related quantitative field and 2 years of experience in a similar role. Two or more years of experience using Python, R, and/or related tools for data management and statistical analysis, preferably in educational or professional testing. Strong MS Office skills. Skills, Knowledge, and Abilities: Familiarity with the principles of test construction, classical and IRT-based item analysis, and item calibration, linking, and equating preferred. Experience working with large datasets and a variety of data structures (relational database). Ability to summarize complex technical information and communicate it to a variety of audiences. Excellent organizational skills: ability to handle multiple projects simultaneously. Strong analytical and problem-solving skills. Effective decision-making skills. PRIMARY RESPONSIBILITIES Write and execute computer programs to extract, clean and prepare data for analysis by psychometricians Manage and manipulate data files from multiple sources (data warehouse, Microsoft Access, MS Excel, text) Ensure quality of data files Provide guidance and oversight in developing standardized data management and verification protocol Collaborate with psychometricians to develop standardized processes for the verification and validation of statistical and psychometric analysis Document programming, data management, and quality assurance processes and procedures Conduct data processing and analysis to support statistical or psychometric projects Serve as Psychometric Services representative to the Software Development teams for data reporting tools functionality, enhancements, and bug fixes Other duties as assigned WORK ENVIRONMENT AND CONDITIONS Physical requirements: US, virtual, MN employees preferred Travel requirements: Limited Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows: The minimum full-time salary range is between $60,000 - $70,000. This position is not bonus eligible, and information on benefits offered is here. Applications will be accepted through Friday, June 12th, 2026. This window may be extended depending on business needs. #LI-CH2 Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [email protected].

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