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data analyst Rochester, MN

Mayo Clinic

Full Time Rochester, MN 109450 - 73029 USD ANNUAL Today

Job description

Why Mayo Clinic

Mayo Clinic has been ranked the #1 hospital in the nation by U.S. News & World Report, as well as #1 in more specialties than any other care provider. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.

Responsibilities

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.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

$73,028.80 - $109,449.60 annual; 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

40hrs/wk – 80hrs/pay period No overtime

Weekend Schedule

N/A

International Assignment

No

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

Affirmative Action and Equal Opportunity Employer

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.

Recruiter

Stephanie Baird

Department Title

Research

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