Business Intelligence Analyst Assistant Director

Mayo Clinic • Rochester, MN

4d

About The Position

Reports to the Director of Business Intelligence Analytics and resides within
the Development Technology Services (DTS) team. Plays a critical role supporting
the advancement of technology, analytics, data science, automation and
Artificial Intelligence (AI) within philanthropic activities of Mayo Clinic.
Collaborates closely with Frontline Fundraisers, Marketing team, Stewardship &
Recognition, Information Technology functional experts and other teams across
Mayo Clinic as needed.

Acts as an internal technical consultant by applying high order analytics and
business expertise to the Mayo Clinic's Department of Development
organization. Assists with creating business insights through world class, real
time, analytical tools and approaches. Identifies insights on prospects
behaviors, financial performance, trends of giving, affinities, and use of
departmental resources. This includes but it is not limited to: 

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. 

Position requires ability to identify new data needs and ability to transform
existing variables in a creative and meaningful way to serve the purpose.
Requires “yes I can”, creative, solution-oriented attitude that is able to deal
with imperfections. Stay abreast of the latest trends and developments in AI,
business intelligence, and data science, applying this knowledge to drive
continuous improvement and innovation within the team. Leveraging Generative AI
& LLM to automate complex data processes, enhance predictive analytics, and
optimize business operations, ensuring alignment with organizational goals.

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
• Identify new data needs
• Transform existing variables in a creative and meaningful way
• Stay abreast of the latest trends and developments in AI, business intelligence, and data science

Benefits

• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retirement: Competitive retirement package to secure your future.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees