Data Analyst, BI & Institutional Insights — Remote

University of Minnesota; Minneapolis (MN); A distancia; USD 69.000 - 89.000; Jornada completa

Descripción de la vacante

The University of Minnesota is seeking a Data Analyst within the Research & Innovation Office (RIO) to support institutional research data needs across ORIS. You will analyze data from multiple UMN systems, create dashboards, and provide insights to leadership.

Responsibilities include SQL development, data validation, and collaborative reporting to improve decision making across academic, administrative, and operational units.

Formación

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics or related quantitative field, plus 2+ years in data analysis or a master's degree.
• Experience with SQL and Excel for querying, cleaning, transforming, and analyzing data; familiarity with BI tools like Power BI/Tableau and cloud data warehouses; Python/STATA/R for analytics.

Responsabilidades

• Acquire, validate, analyze, and interpret datasets for executive decision making.
• Write and optimize SQL queries to extract and transform data.
• Develop dashboards and analytical models for strategic decision making.
• Validate data and ensure accuracy across disparate databases.
• Collaborate with stakeholders and leadership to meet institutional data needs.
• Support external surveys and governance initiatives.

Conocimientos

SQL

Excel

Data analysis

Python

R

Educación

Bachelor's degree in a quantitative field

Master's degree in a related field

Herramientas

Power BI

Tableau

Descripción del empleo

The University of Minnesota is seeking a Data Analyst within the Research & Innovation Office (RIO) to support institutional research data needs across ORIS. You will analyze data from multiple UMN systems, create dashboards, and provide insights to leadership.

Responsibilities include SQL development, data validation, and collaborative reporting to improve decision making across academic, administrative, and operational units.