Psychometric Data Analyst II

Job Description

This role is related to Renaissance’s educational technology products, with a primary focus on the assessment products that include the Star Computerized Adaptive tests (CAT) and the Star curriculum-based measures (CBM).

In this role as a Psychometric Data Analyst II, you will:

Data Extraction & Database Proficiency

• Extract data from SQL and NoSQL systems (Snowflake, MongoDB, and other databases) to support psychometric analyses and operational reporting.
• Ensure data integrity through rigorous validation, transformation, and documentation practices.

Statistical & Psychometric Analysis

• Analyze data related to item and test content, quality, and performance using statistical and psychometric methods.
• Support psychometricians with advanced analyses, including IRT modeling, reliability studies, norming, and other specialized methodologies.

Validation of Assessment Logic

• Validate assessment logic to confirm that scoring rules, branching, and performance assumptions operate as intended.
• Define, calculate, and track assessment quality and performance metrics to ensure consistency and accuracy across programs.

Research, Communication & Continuous Development

• Design and implement research studies, simulations, and data mining projects to investigate assessment behavior and support continuous improvement.
• Communicate analytical findings through clear written reports, data visualizations, dashboards, and presentations tailored to both technical and non‑technical audiences.
• Maintain up‑to‑date knowledge of statistical analysis techniques, psychometric best practices, and modern data engineering workflows.

For this role as a Psychometric Data Analyst II, you must have:

• Bachelor's degree in statistics, mathematics, data science, or a related field from four-year accredited college or university, and
• Minimum 6 years’ experience implementing analysis and testing plans and defining and tracking metrics, OR Equivalent combination of education and experience
• Extensive database management experience in both structured (SQL) and unstructured (NoSQL) environments.