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
Company Overview