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Data Analytics Jobs in Rochester, MN (NOW HIRING)

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

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 expertise in the ...

Mayo Clinic

Data Science Analyst

Rochester, MN

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 expertise in the ...

Mayo Clinic

Sr. Data Science Analyst - EOAM

Rochester, MN · On-site

$84K - $105K/yr

Other responsibilities: • Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured ...

Mayo Clinic

Sr. Data Science Analyst - EOAM

Rochester, MN · On-site

$84K - $105K/yr

Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. Has ...

Mayo Clinic

Sr. Data Science Analyst - EOAM

Rochester, MN · On-site

$84K - $105K/yr

Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. Has ...

Mayo Clinic

Sr. Data Science Analyst - EOAM

Rochester, MN · On-site

$87K - $110K/yr

Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. Has ...

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All JobsData Analytics JobsData Analytics Jobs in Rochester, MN

Data Analytics information

See Rochester, MN salary details

$24

$55

$96

How much do data analytics jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data analytics in Rochester, MN is $55.65, according to ZipRecruiter salary data. Most workers in this role earn between $44.71 and $63.03 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Rochester, MN? The most popular types of Data Analytics jobs in Rochester, MN are:
What job categories do people searching Data Analytics jobs in Rochester, MN look for? The top searched job categories for Data Analytics jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Data Analytics jobs? Cities near Rochester, MN with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Rochester, MN as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $115,752 per year, or $55.6 per hour.

AI & Data Analytics Research Fellow-Radiation Oncology

Mayo Clinic

Rochester, MN

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 692 frontline employees who took The Breakroom Quiz

106th of 890 rated healthcare providers

Job description

The AI and Data Analytics (AIDA) team within the Department of Radiation Oncology at Mayo Clinic is hiring a Research Fellow to help advance the next generation of AI in cancer care: https://radonc-aida.github.io ).

We're looking for an exceptional researcher that is technically strong, intellectually curious, and motivated by real-world impact.

You'll join a uniquely positioned institution. Mayo Clinic treats over 1.4 million patients annually and is consistently ranked among the most trusted names in medicine. Within this environment, AIDA operates as a fast-moving, high-impact team building and deploying AI tools directly into clinical workflows.

Over the past year, our tools have moved beyond prototypes into active clinical use, supporting hundreds of clinicians across multiple specialties. Several have been recognized at institutional and national forums, reflecting both their technical innovation and measurable impact on care delivery. This is a rare opportunity to work on AI systems that are not only published, but used, evaluated, and iterated on in real clinical environments.

Whether it's building models to personalize cancer treatment, extracting insights from longitudinal clinical data, or deploying tools that streamline physician workflows, your work will span both foundational research and real-world translation.

We are looking for someone who could thrive in top-tier tech companies or academia but chooses to work here because you want your work to matter to patients, to clinicians, and to the future of healthcare.

What You'll Do

Deploy impactful AI: Develop, implement, and evaluate machine learning models in real clinical settings. Success is measured not just by publications, but by adoption, usability, and clinical impact.

Work on end-to-end systems: Contribute to AI tools that integrate into clinical workflows ranging from predictive modeling to automation of documentation and decision support.

Lead ambitious research: Design and execute novel research projects in collaboration with a multidisciplinary team of physicians, physicists, data scientists, and engineers.

Translate research into practice: Help move ideas from concept to prototype to deployment to real-world use, learning what actually works in healthcare.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. 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.

Benefits Highlights
  • 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.
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. 

Equal Opportunity

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. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
  • PhD in Computer Science, Machine Learning, Biomedical Informatics, Engineering, Physics, Applied Math, Statistics, or a related field.
  • Strong background in modern machine learning (e.g., deep learning, transformers, or related methods).
  • Strong experience with Python and ML ecosystems (e.g., PyTorch, JAX, scikit-learn).
  • Strong communication skills: able to write and present complex ideas clearly.
  • Self-motivated, execution-focused, and comfortable owning ambiguous problems.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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