[Remote] Psychometric Data Analyst II

Note: The job is a remote job and is open to candidates in USA. Renaissance Learning is a global leader in pre-K–12 education technology. The Psychometric Data Analyst II role focuses on data extraction, statistical analysis, and validation of assessment logic to support educational assessment products.

Responsibilities

• 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

Skills

• Bachelor's degree in statistics, mathematics, data science, or a related field from four-year accredited college or university
• 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
• Master's degree in Statistics or a related field

Benefits

• 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
• 12Paid Holidays
• Parental Leave (20 total weeks with 14 weeks paid) & Milk Stork program
• Tuition Reimbursement
• Life & Disability Insurance
• Well-being and Employee Assistance Programs

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