Why Mayo Clinic
Mayo Clinic is the nation's best hospital (U.S. News & World Report, 2022-2023) and ranked #1 in more specialties than any other care provider. We have a vast array of opportunities ranging from Nursing, Clinical, to Finance, IT, Administrative, Research and Support Services to name a few. Across all locations, you’ll find career opportunities that support diversity, equity and inclusion. At Mayo Clinic, we invest in you with opportunities for growth and development and our benefits and compensation package are highly competitive. We invite you to be a part of our team where you’ll discover a culture of teamwork, professionalism, mutual respect, and most importantly, a life-changing career!

Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary.

Position description
This position utilizes data analysis, data mining, pattern analysis, data visualization, reporting, and data management skills. Supports projects under close supervision of senior data analysts or data scientists. Types of work include descriptive analytics, data query scripting, data analysis, data engineering, visualizations, and forecasting. Other responsibilities: • Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. • Has basic expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches. • Executes analytical procedures in the framework of a specific project work request. • Modifies scripts or software applications to support data management, data extraction and data analysis as required. • Contributes to the interpretation of data analysis and to writing reports. • May help customers understand the data set and provide training and suggestions for improvement on the data request. • Leverages communication and interpersonal skills and works with subject matter experts. • Presents findings in easy to understand terms for the business or clinical practice.

Qualifications
Bachelor's degree in a domain-relevant field such as engineering, mathematics, computer science, statistics, physics, data science, health science, or other analytical/quantitative field, as well as the following:

Experience with object-oriented programming (Python/C++/Java)

Experience with full-stack web application development

Experience with digital images and/or computer vision

Knowledge of machine learning

Additional qualifications
Ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques, is preferred. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) is required. Incumbent must stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and a commitment to customer service.

Exemption status
Exempt

Compensation Detail
$70,907.20 - $106,267.20 / year; Education, experience and tenure may be considered along with internal equity when job offers are extended.

Benefits eligible
Yes

Schedule
Full Time

Hours / Pay period
80

Schedule details
Regular

Weekend schedule
NA

Remote
No

International Assignment
No

Site description
Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life.

Recruiter
Stephanie Baird

EOE
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.

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