Measurement Data Analyst I

Pearson; Bismarck (ND); On-site; USD 60,000 - 70,000; Full time

Job summary

Pearson, a leader in educational assessment, seeks an Advanced Associate in Measurement to support large-scale programs for district, state, and national customers. You will apply data analysis methods, explore data using statistics, and help deliver contract deliverables under supervision.

Candidates should have a Bachelor’s degree with quantitative coursework and experience with SAS or Python, plus familiarity with data structures and office software. Some travel may be required.

Qualifications

• Bachelor's degree with success in quantitative courses (e.g., statistics) or software programming/development.
• Direct experience in basic item and test analysis or coursework preparing for large-scale data analysis.
• Experience with statistical analysis platforms (SAS or Python) or programming languages (C#, R, Java).
• Experience with Microsoft 365 tools (Word, Excel, CoPilot, SharePoint) and varied data file types.

Responsibilities

• Takes direction from psychometric leads and follows best practices.
• Conducts analyses using exploratory techniques and statistics under supervision.
• Executes and debugs existing analysis tools per specifications.
• Works with various data structures and moderately complex files.
• Evaluates data suitability and analysis outcomes for usability.
• Prepares and manages data for internal groups and contract deliverables.
• Collaborates with subject matter experts and tech staff; may travel up to 5%.

Skills

Quantitative skills

Problem solving

Communication

Collaboration

Education

Bachelor's degree (quantitative courses)

Tools

SAS

Python

C#

R

Java

Microsoft 365

SharePoint

Job description

Pearson, a leader in educational assessment, seeks an Advanced Associate in Measurement to support large-scale programs for district, state, and national customers. You will apply data analysis methods, explore data using statistics, and help deliver contract deliverables under supervision.

Candidates should have a Bachelor’s degree with quantitative coursework and experience with SAS or Python, plus familiarity with data structures and office software. Some travel may be required.