Mayo Clinic is a top-ranked healthcare provider dedicated to putting the needs of patients first. They are seeking a Business Intelligence Analyst Assistant Director to support the advancement of technology and analytics within their philanthropic activities, collaborating with various teams to create insights and automate data processes.
Responsibilities:
- Creating self-service tools & dashboards supporting functional areas of department
- Integrating external data into existing ecosystem of prospect insights tools
- Analysis supporting data driven strategies and tactics development
- Assisting with data validation tests and QA testing
- Collecting, cleaning, and aggregating data from multiple sources
- Creating technical documentation
- Automating business processes to streamline operations
- Forecasting and statistical modeling of prospects behaviors and affinities, as well as sentiment for a topic or funding interest (leveraging Generative AI & LLM, machine learning, decision trees, clustering, pattern recognition, and other data science approaches)
- Other ad-hoc analysis and reports as needed
Requirements:
- Bachelor's degree in Engineering Science, Business Administration, Finance or other related field with strong quantitative analytical skills
- Minimum 2 years of experience in business/data analytics
- Knowledge of relational databases (SQL)
- Experience with data visualization tool such as Power BI and Tableau
- Ability to prioritize, and organize various tasks on multiple, concurrent projects
- Ability to work in a fast-paced project environment with limited degree of supervision
- Ability to communicate technical concepts to non-technically savvy internal customers
- Desire to explore and learn new technology including Google Cloud Platform and generative AI tools integrate with ecosystem of tools
- Experience with broader Microsoft Power Platform (Power Automate, Power Apps) or Copilot Studio
- Experience in statistical packages, preferably Python, R/R Studio
- Experience with Blackbaud CRM
- Well-developed oral and written communication skills
- Familiarity / experience with machine learning techniques and software libraries