Remote Position

Data Analyst, Measurement & Insights

๐ŸŒ Remote ยท United States ๐Ÿ’ผ Full-time

About the Job Pearson is seeking an Advanced Associate, Measurement to support large-scale assessment programs serving district, state, and national customers. This role focuses on data analysis, statistical methods, and measurement-related insights to support assessment initiatives. The successful candidate will collaborate with psychometric leads and subject-matter experts to analyze data, work with structured data environments, and contribute to assessment measurement activities. Experience with SAS or Python and familiarity with data structures are valuable for this position.

Key Responsibilities

Analyze assessment data to support large-scale district, state, and national assessment programs. Apply statistical methods to support measurement and data analysis initiatives. Collaborate with psychometric leads and experts on assessment-related projects. Work with data structures and datasets to support analytical activities. Contribute to measurement and insights initiatives that inform assessment programs and related decision-making. Qualifications and Skills Experience or knowledge in data analysis and statistical methods. Familiarity with data structures and working with datasets. Experience using SAS or Python for data analysis is valued. Ability to collaborate effectively with psychometric professionals and other subject-matter experts. Strong analytical and problem-solving skills relevant to measurement and assessment data. Work Arrangement and Travel Work Arrangement: Remote. Travel Requirements: Up to 5%, depending on business needs.

Compensation and Benefits

Eligibility for Pearson's annual incentive program, subject to applicable program terms. Additional compensation and benefits details were not specified in the provided job description. About Pearson Pearson is an education company that supports learning and assessment initiatives. In this role, you will contribute to large-scale assessment programs through data analysis, statistical methods, and collaboration with measurement experts.

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