Measurement Data Analyst I — Growth & Insights

Pearson; Des Moines (IA); On-site; USD 60,000 - 70,000; Full time

Benefits offered by this job

Annual incentive program

Job summary

Pearson in Des Moines, IA, is seeking an Advanced Associate in Measurement to support data analysis for large-scale assessment programs across districts, states, and national customers. You will follow psychometric leads, perform exploratory analyses, and adapt tools to analyze diverse data structures.

You should have a Bachelor's degree and experience with SAS or Python; familiarity with data structures, MS Office; able to communicate clearly and work independently, including travel up to 5%.

Qualifications

• Bachelor's degree in quantitative courses or software-related coursework.
• Direct experience in item and test analysis and evaluation of outcomes.
• Experience with data structures and office software.
• Familiarity with SAS or Python for statistical analyses.
• Understanding software development principles and version control.

Responsibilities

• Takes direction from psychometric leads and follows best practices.
• Conducts analyses using exploratory techniques and statistics.
• Executes and debugs existing analysis tools per specifications.
• Works with diverse data structures and moderately complex files.
• Prepares and manages data for internal use and collaboration with SMEs.
• Demonstrates openness to AI-enabled tools to improve efficiency.
• Meets schedules while working independently, with travel up to 5%.

Skills

Data analysis

Statistics

Problem solving

Communication

Collaboration

Education

Bachelor's degree in a quantitative field

Tools

SAS

Python

C#

R

Java

Excel

Job description

Pearson in Des Moines, IA, is seeking an Advanced Associate in Measurement to support data analysis for large-scale assessment programs across districts, states, and national customers. You will follow psychometric leads, perform exploratory analyses, and adapt tools to analyze diverse data structures.

You should have a Bachelor's degree and experience with SAS or Python; familiarity with data structures, MS Office; able to communicate clearly and work independently, including travel up to 5%.