Measurement Data Analyst: Advanced Associate

Pearson; City of Albany (NY); On-site; USD 60,000 - 70,000; Full time

Job summary

Pearson Advanced Associates provide data analysis support to deliver large-scale assessment programs for district, state, and national customers. They solve problems by extending existing procedures, collaborate with psychometric leads, and handle diverse data structures while meeting schedules.

The role emphasizes strong quantitative and communication skills, familiarity with psychometric principles, and the ability to work in a remote or hybrid setting when needed.

Qualifications

• Bachelor's degree with success in quantitative courses or programming
• Experience with item/test analysis and evaluating analysis outcomes
• Coursework preparing for large-scale data analysis (e.g., programming, statistics)
• Experience with data structures and office software (Excel, SharePoint)

Responsibilities

• Under supervision, conduct analyses using exploratory techniques and statistics
• Execute and debug existing analysis tools per specifications
• Prepare and manage data for internal groups and contract deliverables
• Collaborate with subject matter experts and technology staff
• Demonstrate openness to applying AI-enabled tools to improve efficiency
• Meet schedules while working independently, including high-pressure situations
• May travel up to 5% as scheduled in advance

Skills

Data analysis

Statistics

Python

SAS

Excel

R

C#

Java

Education

Bachelor's degree with quantitative coursework

Coursework in statistics or programming

Tools

SAS

Python

C#

R

Java

Microsoft 365 (Word, Excel, CoPilot, SharePoint)

Data file structures

Job description

Pearson Advanced Associates provide data analysis support to deliver large-scale assessment programs for district, state, and national customers. They solve problems by extending existing procedures, collaborate with psychometric leads, and handle diverse data structures while meeting schedules.

The role emphasizes strong quantitative and communication skills, familiarity with psychometric principles, and the ability to work in a remote or hybrid setting when needed.