Data Analytics Associate - Measurement & Insights

Pearson; Washington (District of Columbia); On-site; USD 60,000 - 70,000; Full time

Benefits offered by this job

Annual incentive program

Job summary

Pearson’s Advanced Associate, Measurement role provides data analysis support for large-scale assessment programs serving districts, states, and national customers. You will analyze data, prepare results, and collaborate with psychometric and technology staff.

Under supervision you will learn to apply exploratory techniques, evaluate data quality, and contribute to contract deliverables, with occasional travel up to 5%.

Qualifications

• Bachelor's degree & evidence of success in quantitative courses or software programming/development courses.
• Experience with SAS or Python preferred; or languages such as C#, R, or Java.
• Experience with Microsoft 365 (Word, Excel, CoPilot, SharePoint) and data files.
• Familiarity with psychometric principles, theory, and item/test analysis.
• Strong communication and ability to work with colleagues remotely.

Responsibilities

• Under supervision, conducts analyses using exploratory techniques such as data mining, data summarization, and statistics.
• Executes and debugs existing analysis tools according to specifications.
• Prepare, format, and manage data for internal use and contract deliverables.
• Collaborate with subject matter experts and technology staff to fulfill deliverables.
• Demonstrates openness to applying AI-enabled tools to improve efficiency.

Skills

Quantitative skills

Data analysis

Communication

Collaboration

Ambiguity tolerance

Education

Bachelor's degree in quantitative field

Tools

SAS

Python

Microsoft 365

Excel

SharePoint

Job description

Pearson’s Advanced Associate, Measurement role provides data analysis support for large-scale assessment programs serving districts, states, and national customers. You will analyze data, prepare results, and collaborate with psychometric and technology staff.

Under supervision you will learn to apply exploratory techniques, evaluate data quality, and contribute to contract deliverables, with occasional travel up to 5%.