Measurement Data Analyst (Remote)

Pearson; Northern (KY); Remoto; USD 60.000 - 70.000; Tempo pieno

Vantaggi offerti da questo lavoro

Annual incentive program

Remote work

Descrizione del lavoro

Pearson is seeking an Advanced Associate in Measurement to support large-scale assessment programs for district, state, and national customers. The role requires strong quantitative skills, ability to analyze data with exploratory techniques, and collaboration with psychometric leads and technical staff.

Education includes a bachelor's degree with success in quantitative courses; familiarity with SAS/Python and office software is preferred.

Competenze

• Bachelor's degree and success in quantitative courses or programming courses.
• Direct experience in item/test analysis or coursework preparing for large-scale data analysis.
• Experience with statistical analysis tools (SAS, Python) or programming languages (C#, R, Java).
• Proficiency with Microsoft 365 applications (Word, Excel, Copilot, SharePoint).
• Knowledge of software development principles and version control is a plus.

Mansioni

• Take direction from psychometric leads and follow best practices.
• Conduct analyses using exploratory techniques (data mining, summarization, statistics).
• Execute and debug existing analysis tools per specifications.
• Deal with diverse data structures and moderately complex files.
• Evaluate data suitability and determine accuracy and usability of results.
• Prepare, format, and manage data for internal teams and contract deliverables.
• Collaborate with subject-matter experts and technology staff.

Conoscenze

Quantitative analysis

Data analysis

Problem solving

Adaptability

Communication

Formazione

Bachelor's degree in a quantitative field

Strumenti

SAS

Python

C#

R

Java

Microsoft 365

Descrizione del lavoro

Pearson is seeking an Advanced Associate in Measurement to support large-scale assessment programs for district, state, and national customers. The role requires strong quantitative skills, ability to analyze data with exploratory techniques, and collaboration with psychometric leads and technical staff.

Education includes a bachelor's degree with success in quantitative courses; familiarity with SAS/Python and office software is preferred.