Applied Research & Evaluation Associate

University of California, Los Angeles; Los Angeles (CA); Presencial; USD 65.000 - 90.000; Jornada completa

Descripción de la vacante

The UCLA Agile Visual Analytics Lab (AVAL) seeks a Research Associate to support complex evaluation projects through data collection, management, analysis, and reporting. The role emphasizes collaboration, rigorous methods, and clear communication to turn data into actionable insights for diverse stakeholders.

The ideal candidate thrives in a fast-paced research setting, demonstrates strong qualitative and quantitative skills, and can work both independently and with cross-disciplinary teams.

Formación

• Demonstrated ability to manage multiple projects in a fast-paced environment.
• Strong written and verbal communication with diverse stakeholders.
• Experience with data collection, surveys, and mixed-methods designs.
• Knowledge of utilization-focused evaluation and human services contexts.

Responsabilidades

• Support complex, multifaceted evaluation and research projects.
• Contribute to data collection, data management, and analysis.
• Develop and disseminate reporting products for stakeholders.
• Collaborate across multidisciplinary teams and partners.
• Translate findings into actionable recommendations for policy and practice.

Conocimientos

Qualitative research

Quantitative research

Data collection

Communication

Team collaboration

Learning software

Tableau

Power BI

Python

D3

Educación

Bachelor's Degree in social science or related field

PhD in related field (Preferred)

Herramientas

Alteryx

Knime

Tableau

Power BI

Python

D3

Excel

Stata

SPSS

Descripción del empleo

The UCLA Agile Visual Analytics Lab (AVAL) seeks a Research Associate to support complex evaluation projects through data collection, management, analysis, and reporting. The role emphasizes collaboration, rigorous methods, and clear communication to turn data into actionable insights for diverse stakeholders.

The ideal candidate thrives in a fast-paced research setting, demonstrates strong qualitative and quantitative skills, and can work both independently and with cross-disciplinary teams.