Lead Psychometrics Data Analyst (Large-Scale Studies)

Pearson; United States; Remote; USD 100,000 - 120,000; Full time

Job summary

Pearson's Psychometric and Research Services group seeks a Specialist, Measurement to support large-scale assessment programs. You will analyze data, develop and maintain psychometric software (WINSTEPS, MULTILOG), and collaborate across teams. Strong Python and data processing skills, plus experience with big datasets, are essential.

Travel about 5-10% is expected. We value rigorous analytical approach, ability to mentor others, and clear communication of results to technical and non-technical

Qualifications

• Bachelor's degree with experience as lead data analysis consultant or a master's/doctoral with data processing experience.
• Experience in statistical analysis, programming, and large-scale data processing.
• Experience with large datasets and developing/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.
• Train and mentor colleagues on programming, data processing, troubleshooting, and quality control.

Skills

Python

Other languages

Education

Bachelor's degree

Advanced degree preferred

Tools

WINSTEPS

MULTILOG

Job description

Pearson's Psychometric and Research Services group seeks a Specialist, Measurement to support large-scale assessment programs. You will analyze data, develop and maintain psychometric software (WINSTEPS, MULTILOG), and collaborate across teams. Strong Python and data processing skills, plus experience with big datasets, are essential.

Travel about 5-10% is expected. We value rigorous analytical approach, ability to mentor others, and clear communication of results to technical and non-technical