Senior Psychometrics Data Analyst

Pearson; Lincoln (NE); On-site; USD 100,000 - 120,000; Full time

Job summary

Pearson is seeking a Specialist in Measurement to provide data analysis support to psychometricians for large-scale assessment programs. The role emphasizes statistical analysis, programming, and processing of large datasets, with opportunities to mentor teammates and improve data workflows.

Candidates should have strong Python and other language skills, experience with psychometric principles, and a track record of coordinating data analysis across projects.

Qualifications

• Bachelor’s degree with experience as a lead data analysis consultant or a master’s/doctoral degree with data processing experience.
• Experience in statistical analysis, programming, and large-scale data processing.
• Experience with large datasets and developing or maintaining analytical code.
• Experience in project coordination, resource management, budgeting, and team training or mentoring.
• Experience in educational assessment or testing is preferred.

Responsibilities

• Troubleshoot, debug, and maintain psychometric programs and statistical analysis processes.
• Develop and monitor quality control processes to ensure accurate and reliable data.
• Work with diverse data structures, databases, and large datasets containing one million or more records.
• Develop and maintain code for psychometric software such as WINSTEPS and MULTILOG.
• Coordinate data analysis and data transfers across multiple projects and teams.
• Lead or support data analysis for standard-setting and data review meetings.
• Train and mentor colleagues on programming, data processing, troubleshooting, and quality control.

Skills

Python

R

SAS

Java

C#

Data analysis

Statistical analysis

Project leadership

Mentoring

Education

Bachelor's degree

Master's or Doctoral degree

Tools

WINSTEPS

MULTILOG

Job description

Pearson is seeking a Specialist in Measurement to provide data analysis support to psychometricians for large-scale assessment programs. The role emphasizes statistical analysis, programming, and processing of large datasets, with opportunities to mentor teammates and improve data workflows.

Candidates should have strong Python and other language skills, experience with psychometric principles, and a track record of coordinating data analysis across projects.