Remote Senior Quantitative Research Analyst

Minnesota State Colleges and Universities; Saint Paul (MN); On-site; USD 69,000 - 101,000; Full time

Job summary

Saint Paul College is seeking a Principal Quantitative Research Analyst to lead advanced quantitative research, evaluation, and statistical analysis. This role drives complex analyses of institutional data to inform college performance, student outcomes, and strategic planning, while guiding colleagues in appropriate analytical approaches.

The position emphasizes data literacy, methodological transparency, and collaboration with diverse stakeholders to apply evidence to planning and improvement

Qualifications

• Three (3) years of professional experience conducting research, evaluation, and analysis using quantitative methods.
• Knowledge of quantitative research design, evaluation methodologies, and statistical analysis.
• Proficiency with data management concepts, validation, and quality assurance.
• Ability to generate effective data visualizations and communicate findings to diverse audiences.
• Strong organizational skills and attention to detail; ability to communicate complex information clearly.

Responsibilities

• Lead quantitative research, evaluative analysis, and institutional inquiry.
• Consult with faculty, staff, and leaders to interpret evidence.
• Advance data literacy and responsible use of evidence across the college.
• Perform additional duties to ensure department effectiveness and partnership success.

Skills

Quantitative research

Statistical analysis

Data visualization

Communication of findings

Collaboration with stakeholders

Education

Graduate degree preferred

Tools

SQL

Power BI

R

Python

SPSS

Job description

Saint Paul College is seeking a Principal Quantitative Research Analyst to lead advanced quantitative research, evaluation, and statistical analysis. This role drives complex analyses of institutional data to inform college performance, student outcomes, and strategic planning, while guiding colleagues in appropriate analytical approaches.

The position emphasizes data literacy, methodological transparency, and collaboration with diverse stakeholders to apply evidence to planning and improvement