Psychometric Data Analyst II

The Renaissance Network, Inc.

Psychometric Data Analyst II analyzing data related to educational assessments. Focused on ensuring data integrity, quality, and performance metrics for assessment products.

Posted 6/5/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $61,800 - $85,000 per yearWebsite

Tech Stack

Tools & technologies

MongoDBNoSQLPythonSQL

About the role

Key responsibilities & impact

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.
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.
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.
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.

Requirements

What you’ll need

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) databases especially MongoDB.
Ability to manipulate and analyze data in SAS, r, and Python.
Exceptional attention to detail.
Demonstrated ability to work well within a team and cross functionally.

Benefits

Comp & perks

World Class Health Benefits: Medical, Prescription, Dental, Vision, Telehealth
Health Savings and Flexible Spending Accounts
401(k) and Roth 401(k) with company match
Paid Vacation and Sick Time Off
12 Paid Holidays
Parental Leave (20 total weeks with 14 weeks paid) & Milk Stork program
Tuition Reimbursement
Life & Disability Insurance
Well-being and Employee Assistance Programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLNoSQLSnowflakeMongoDBstatistical analysispsychometric methodsIRT modelingdata manipulationSASPython

Soft Skills

attention to detailteamworkcross-functional collaboration

Certifications

Bachelor's degree in statisticsBachelor's degree in mathematicsBachelor's degree in data science