Salary: Negotiable
Location : Sarasota, Florida, United States
Job Type: Full-Time
Job Number: 00870
Division: Finance and Administration
Opening Date: 07/10/2026
Closing Date: Continuous
Description This position will be responsible for data analysis, statistical modeling, visualizations, and data engineering to support data insights for the campus.
Examples of Duties - Extract and analyze data from the Banner ERP system and related data sources to fulfill internal data requests
- Develop modeling frameworks for prediction, classification, and similar goals, utilizing machine learning models and artificial intelligence tools when appropriate
- Design and develop dashboards, reports, and visualization using Power BI or other approved data visualization tools
- Identify opportunities for enhancing data assets and propose innovative solutions
- Translate business needs into technical solutions and provide data-driven recommendations
- Collaborate with cross-functional teams to gather requirements and understand business challenges
- Develop and maintain data models, data definitions, and documentation
- Ensure data accuracy, integrity, and consistency across reports and systems
- Automate and optimize recurring reports and analytical processes
- Monitor key performance indicators (KPIs) and provide regular updates to stakeholders
- Support data governance and compliance initiatives
- Other duties as assigned
Minimum Qualifications - Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field
- Proficiency and experience with statistics and predictive analytics
- Proficiency and experience with machine learning & deep learning models
- Proficiency and experience with Python, R, SQL
- Strong analytical and problem-solving skills
- Excellent communication skills with the ability to present complex data in a clear and concise manner
Preferred Qualifications - Proficiency and experience with business intelligence tools
All candidates must be legally authorized to work in the United States without requiring immigration sponsorship, including but not limited to non-immigrant visas, such as H1B, STEM, or F1, now and in the future.
