Psychometric Data Analyst II

Summary

Join Renaissance®, a global leader in pre-K–12 education technology, as a Psychometric Data Analyst II. You will extract assessment data, analyze psychometric data related to item and test content, define and track assessment quality metrics, design research projects, and communicate results. This role requires a Bachelor's degree in a related field and 6+ years of experience or equivalent. You will need extensive database management experience (SQL and NoSQL), data analysis skills in SAS, R, and Python, and exceptional attention to detail. The company offers competitive benefits, including health insurance, retirement plans, paid time off, parental leave, tuition reimbursement, and more. Apply today and help us drive phenomenal student growth!

Requirements

• 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

Responsibilities

• Extract assessment data from Snowflake and/or MongoDB as needed for various analyses
• Analyze psychometric data related to item and test content, quality, and performance from a variety of sources, both structured and unstructured
• Define and track assessment quality and performance related metrics
• Design and implement research, testing, and data mining projects, including scenarios and simulations
• Communicate results of analyses through written reports, visual displays, and verbal communication
• Support the psychometricians with statistical analyses related to advanced psychometric work
• Maintain an accurate and up-to-date knowledge on statistical analysis techniques and applications

Preferred Qualifications

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
• 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