Advanced Associate, Measurement

About the Role

The Advanced Associate, Measurement role is part of the Pearson Psychometric and Research Services group, contributing to the US School Assessment group and the larger Assessment and Qualifications team. This position provides data analysis support for large-scale custom assessment programs delivered to district, state, and national customers. The role is described as aligning to industry-level titles such as Data Analyst I, Junior Data Analyst, or Research Assistant.

Key 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.
• Executes software development discipline.
• Works with a variety of data structures and with files that are moderately complex.
• Evaluates the suitability of data for specific analysis purposes.
• Evaluates outcomes from analyses to determine accuracy, quality, and usability.
• Prepares, formats, and manages data for use by internal groups.
• Works directly with subject matter experts and technology staff to fulfill contract deliverables.
• Demonstrates openness to learning and applying AI-enabled tools to enhance efficiency and innovation.
• Meets schedules while working independently, sometimes in high-pressure situations.
• May travel up to 5% to fulfill some tasks.

Requirements & Tech Stack

• Familiarity with Psychometric Principles and Theory.
• Familiarity with Data Structures and Office Software.
• Evidence of software development discipline.
• Possesses strong communication skills (oral, written, and business).
• Ability to independently collect specifications and document solutions.
• Ability to communicate with colleagues of various backgrounds and expertise in a fully remote setting.
• With guidance from senior staff, able to perform work according to schedule and coordinate work across team members.

Qualifications

• Bachelor's degree & evidence of success in quantitative courses (e.g., statistics) or software programming/development courses.
• Evidence of direct experience in basic item and test analysis, and evaluation of outcomes from analyses.
• OR evidence of success in coursework that prepares candidates for large scale data analysis (e.g., computer programming, statistics, etc.).
• Preferred candidates have demonstrated experience with statistical analysis platforms/packages using SAS or Python.
• OR demonstrated experience with software languages such as C#, R, or Java.
• OR evidence of success in coursework that prepares candidates to work with structured programming languages or techniques.
• Exhibits basic experience in using Microsoft 365 software such as Word, Excel, CoPilot, and SharePoint.
• Exhibits basic experience working with a variety of data files and storage structures.
• OR evidence of success in coursework that prepares candidates for software development (version control, properly identified variable names, logic and design, etc.).