Psychometric Data Analyst II

Emploi pas sur LinkedIn

🕒 il y a 1 jour

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

The Renaissance Network, Inc.

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 1996

📚 Éducation

🤝 B2B

🎯 Recrutement

Education • B2B • Recruitment

The Renaissance Network, Inc. est une entreprise spécialisée dans l'aide aux organisations du secteur de l'éducation et de la technologie pour trouver des cadres dirigeants de haut niveau et constituer des équipes axées sur les objectifs. Avec plus de 25 ans d'expérience, elle propose des services de recherche et de conseil ciblés conçus pour découvrir des talents permanents et intérimaires, dans le but d'impacter positivement l'éducation et les communautés. Son approche stratégique de l'acquisition de talents repose sur la compréhension des besoins des clients et l'utilisation de décisions basées sur des données pour garantir des placements réussis.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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