Carnegie Mellon University is looking to leverage data for strategic decision-making across academic and administrative functions, and this role aims to help advance these efforts by transforming complex datasets into actionable insights that drive student success, operational efficiency, and institutional effectiveness.
Requirements
- Experience with data analysis and generating reports using business intelligence tools required.
- Experience using inferential statistics techniques (such as regression, chi-square, and ANOVA) required.
- Experience using any statistical programming language (such as Python, R, SAS, STATA, MATLAB, etc.) required.
- Experience using SQL programing language required.
- Experience with PowerBI required.
- Experience with Tableau required.
- Experience with data visualization tools required.
Responsibilities
- Design and implement data visualization dashboards that translate complex institutional data into actionable insights for university stakeholders at various levels.
- Develop new dashboards and reports to support university planning and operations using PowerBI
- Assist in managing permissions and data access to published PowerBI and Tableau reports.
- Convert existing Tableau dashboards and reports to PowerBI.
- Partner with key stakeholders and data franchises within the university to facilitate development of data insights to support decision making.
- Contributes to developing existing and new AI solutions in data preparation and automation pipelines.
- Utilizes AI models to extract structured data from unstructured text sources
Other
- Bachelor’s degree required, Master’s degree preferred.
- 0-2 years of related work experience.
- Strong oral and written communication skills.
- Ability to collaborate and work well as part of a team.
- Ability to work with sensitive information, maintain confidentiality and use discretion.
