Measurement Data Analyst — AI‑Enabled Insights

Pearson; Augusta (ME); On-site; USD 60,000 - 70,000; Full time

Job summary

Pearson’s Advanced Associate, Measurement role supports large-scale assessment programs for districts, states, and national customers. Under supervision, you will perform data analyses, data preparation, and tool development to deliver reliable results.

You will collaborate with psychometric leads, subject matter experts, and technology staff, applying exploratory techniques and AI-enabled tools to improve efficiency.

Qualifications

• Bachelor's degree in a quantitative field or Evidence of success in quantitative coursework or software programming/development courses.
• Experience with data analysis, data mining, and statistics.
• Proficiency with SAS, Python, or other statistical analysis tools; knowledge of programming languages (C#, R, Java) is a plus.
• Familiarity with Microsoft 365 tools (Word, Excel, CoPilot, SharePoint) and working with varied data files and storage structures.

Responsibilities

• Takes direction from psychometric leads and follows departmental best practices.
• Under supervision, conducts analyses using exploratory techniques such as data mining, data summarization, and statistics.
• Executes and debugs existing analysis tools according to specifications.
• Demonstrates software development discipline in analyses and tooling.
• Collaborates with subject matter experts and technology staff to fulfill contract deliverables.
• Shows openness to learning and applying AI-enabled tools to improve efficiency and innovation.
• Meets schedules while working independently, including in high-pressure situations.
• Travel to fulfill tasks may occur up to 5% of the time.

Skills

Data analysis

Statistics

Data mining

Python

SAS

C#

R

Java

Excel

Education

Bachelor's degree in a quantitative field

Tools

SAS

Python

C#

R

Java

Microsoft 365

SharePoint

CoPilot

Excel

Job description

Pearson’s Advanced Associate, Measurement role supports large-scale assessment programs for districts, states, and national customers. Under supervision, you will perform data analyses, data preparation, and tool development to deliver reliable results.

You will collaborate with psychometric leads, subject matter experts, and technology staff, applying exploratory techniques and AI-enabled tools to improve efficiency.