Data Science Analyst, Associate

About The Company
Mayo Clinic is a globally renowned healthcare organization recognized for its exceptional patient care, innovative research, and comprehensive medical education. As the top-ranked provider across multiple specialties according to U.S. News & World Report, Mayo Clinic is committed to putting the needs of patients first while fostering a supportive environment for its employees. The organization invests heavily in competitive compensation, extensive benefit plans, and continuous professional development opportunities to ensure a fulfilling career for its staff. With multiple campuses across the United States—including locations in Rochester, Minnesota; Jacksonville, Florida; Phoenix/Scottsdale, Arizona; and various Midwestern communities—Mayo Clinic offers a dynamic and collaborative work environment dedicated to advancing health and medicine worldwide.

About The Role
This position is integral to Mayo Clinic's data-driven decision-making process, focusing on leveraging data analysis, mining, visualization, and reporting to support healthcare and business initiatives. Reporting to senior data analysts or data scientists, the successful candidate will utilize their analytical skills to interpret complex structured and unstructured data, providing actionable insights that influence clinical and operational strategies. The role involves executing descriptive analytics, developing data queries, creating visualizations, and supporting forecasting efforts. It also includes modifying scripts or applications to enhance data management and extraction processes. The candidate will work closely with subject matter experts, translating data findings into clear, understandable reports and presentations for both technical and non-technical audiences. This role offers an excellent opportunity to contribute to innovative healthcare solutions while developing expertise in data science methodologies within a leading medical organization.

Qualifications

• Bachelor's degree in engineering, mathematics, computer science, statistics, physics, data science, health science, or a related analytical/quantitative field.
• Ability to develop predictive models using advanced statistical, machine learning, or data mining techniques (preferred).
• Experience with problem-solving methodologies, planning, continuous improvement, and analytical tools such as machine learning algorithms, statistical packages, and modeling software.
• Strong interpersonal and communication skills, with the ability to work collaboratively with subject matter experts and stakeholders.
• Excellent time management and organizational skills to handle multiple projects effectively.
• Knowledge of healthcare trends, enterprise changes, and data science best practices.
• Demonstrated analytical thinking and a customer-focused mindset.

Responsibilities

• Utilize data analysis, mining, visualization, and reporting techniques to support healthcare and business projects.
• Support projects under the close supervision of senior data professionals, executing descriptive analytics, data queries, and data engineering tasks.
• Develop and modify scripts or software applications to facilitate data extraction, management, and analysis.
• Interpret complex data sets and contribute to the preparation of comprehensive reports and presentations.
• Assist in training and advising stakeholders on data interpretation and best practices for data utilization.
• Collaborate with subject matter experts to understand business needs and translate them into analytical solutions.
• Print and communicate findings in clear, accessible language suitable for clinical and business audiences.
• Stay updated on healthcare industry trends and incorporate new methodologies to improve analytical processes.

Benefits

• Multiple medical plan options tailored to individual and family needs.
• Dental coverage through Delta Dental or reimbursement accounts for flexible dental care.
• Affordable vision insurance with access to a broad national network.
• Pre-tax savings options including Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) for eligible expenses.
• Competitive retirement packages designed to secure your financial future.
• Paid time off and leave policies supporting work-life balance.
• Professional development opportunities including continuing education and career advancement programs.
• Supportive and inclusive work environment committed to diversity and employee well-being.

Equal Opportunity

Mayo Clinic is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status, or disability status. We are committed to fostering an inclusive environment that values diversity and promotes equity. Mayo Clinic participates in E-Verify and may provide information from new employees' Form I-9 to relevant authorities to confirm work authorization.