Advanced Associate, Measurement

Pearson; Salt Lake City (UT); Presencial; USD 60.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual incentive program

Descripción de la vacante

Pearson is seeking an Advanced Associate in the US School Assessment group to provide data analysis support for large-scale assessment programs. You will work with psychometric leads and technical staff to perform analyses, develop tools, and deliver contract requirements.

The role emphasizes collaboration, problem solving, and learning AI-enabled tooling while meeting deadlines. Most duties involve data preparation, exploratory analyses, and reviewing outcomes for accuracy and usability.

Formación

• Bachelor's degree or evidence of success in quantitative courses or programming.
• Experience with psychometric analysis or large-scale data analysis preferred.
• Familiarity with data structures and Microsoft Office software.

Responsabilidades

• Take direction from psychometric leads and follow departmental best practices.

Conocimientos

Data analysis

Exploratory data analysis

Statistics

Python

SAS

R

C#

Java

Microsoft 365

Data visualization

Educación

Bachelor's degree in a quantitative field or software programming

Herramientas

Python

SAS

R

C#

Java

Excel

SharePoint

CoPilot

Descripción del empleo

Advanced Associate, Measurement - this role aligns to industry-level titles such as Data Analyst I , Junior Data Analyst , or Research Assistant.

The Advanced Associate position described here is part of the Pearson Psychometric and Research Services group, which is part of the US School Assessment group and larger Assessment and Qualifications team.

Pearson Advanced Associates provide data analysis support to deliver large-scale custom assessment programs to district, state, and national customers. Our Advanced Associates are strong problem solvers who can leverage and extend existing procedures to perform analysis tasks, are well-organized, and display the ability to collaborate. We are looking for candidates with strong technical and data analysis skills who are able to handle ambiguity and are looking for a challenge.

General Duties and Responsibilities

• Takes direction from Psychometric leads, including Ph.D. level research staff, 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.
• Work 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 the accuracy, quality, and usability of those outcomes for the purposes for which they were conducted.
• Prepares, formats, and manages data for use by internal groups.
• Work directly with subject matter experts and technology staff to fulfil 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 to fulfil some tasks. Travel opportunities may be up to 5% and are typically scheduled in advance.

What our employees have in common, regardless of collegiate background or training, are: strong quantitative skills, strong problem-solving skills, adaptability, commitment to continuous learning, and strong communication/collaboration skills that can be applied to routinely ambiguous situations that involve large amounts of data.The education, experience, and responsibilities associated with this position include:

Education and Work Experience

• Bachelor's degree & evidence of success in quantitative courses (e.g., statistics) or software programming/development courses

Familiarity with Psychometric Principles and Theory

• 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.)

Familiarity with Data Structures and Office Software

• 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

Experience with Software Development Principles

• Evidence of software development discipline
• OR evidence of success in coursework that prepares candidates for software development (version control, properly identified variable names, logic and design, etc.)

Communication Skills

• Possesses strong communication skills, (oral, written, and business). Our employees must have the ability to independently collect specifications and document the solutions they will implement.
• Ability to successfully communicate with colleagues of various backgrounds and areas of expertise, in a fully remote setting.

Coordination and Task Management Skills

• With guidance from senior staff, able to perform work according to schedule and coordinate work across members of their team

Compensation at Pearson is influenced by factors including skill set, experience, and location.

The full-time salary range for this role is $60,000 – $70,000 annually.

This position is eligible for Pearson’s annual incentive program. Information on benefits can be found here.

Applications will be accepted through October 16, 2026 . This window may be extended depending on business needs.

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

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