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Data Analyst Mid Level Jobs in Rochester, MN (NOW HIRING)

GDIT

Full Stack Engineer, Mid

Rochester, MN · Hybrid

$140K - $189K/yr

Regular Clearance Level Must Currently Possess: Top Secret/SCI Clearance Level Must Be Able to ... Additionally, a crucial part of the job involves conducting Exploratory Data Analysis (EDA) on ...

Salas O'Brien

Mechanical Designer/Engineer

Rochester, MN · On-site

$74K - $100K/yr

Mid-level Mechanical Engineer - Bloomington or Rochester, MN (Hybrid) Sign On Bonus - up to $10K ... Our specialized experience includes design for data centers, healthcare, science and technology ...

GDIT

Configuration Management Analyst

Rochester, MN · On-site

Regular Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain ... Support the collection of configuration data. * Support the development of CMDB policy, processes ...

GDIT

Configuration Management Analyst

Rochester, MN · On-site

Regular Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain ... Support the collection of configuration data. * Support the development of CMDB policy, processes ...

DataAnnotation

Treasury Analyst - AI Trainer

Rochester, MN · Remote

$50 - $60/hr

Fluency in English (native or bilingual level) * Detail-oriented * Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management * A ...

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Data Analyst Mid Level information

See Rochester, MN salary details

$33.2K

$80.7K

$132.8K

How much do data analyst mid level jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data analyst mid level in Rochester, MN is $80,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a mid-level data analyst, starting a career in data science at age 40 is feasible, especially with relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and leveraging prior experience in related fields.

What is a mid-level data analyst?

A mid-level data analyst is a professional who analyzes data to identify trends and support decision-making, typically with 2-5 years of experience. They often use tools like Excel, SQL, and data visualization software, and may be responsible for creating reports and dashboards under supervision or with limited oversight.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting complex insights, making strategic decisions, and providing context. Mid-level data analysts who develop skills in machine learning, programming, and data visualization remain valuable in leveraging AI effectively within organizations.

What jobs make $1,000,000 a year?

In the field of data analysis, reaching a $1,000,000 annual salary is rare and typically involves senior roles such as Chief Data Officer or data-focused executive positions in large corporations. High earnings may also come from consulting, entrepreneurship, or equity stakes in successful startups. Advanced skills in machine learning, big data tools, and extensive experience can contribute to such compensation levels.

What is the difference between Data Analyst Mid Level vs Data Scientist?

AspectData Analyst Mid LevelData Scientist
Required CredentialsBachelor's degree in data-related field; some certifications (e.g., Microsoft, Tableau)Bachelor's or master's in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness, finance, marketing teams; focus on reporting and data visualizationResearch and development teams; focus on predictive modeling and complex algorithms
Employer & Industry UsageCommon across industries for data reporting rolesMore specialized, often in tech, finance, or healthcare sectors

While both roles involve working with data, Data Analyst Mid Level primarily focuses on analyzing and visualizing data to support business decisions. Data Scientists handle more complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and education.

What are the most commonly searched types of Data Analyst jobs in Rochester, MN? The most popular types of Data Analyst jobs in Rochester, MN are:
What job categories do people searching Data Analyst Mid Level jobs in Rochester, MN look for? The top searched job categories for Data Analyst Mid Level jobs in Rochester, MN are:
Data Analyst Mid Level jobs near you
Data Science Analyst - Neurology AI

Data Science Analyst - Neurology AI

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

134th of 873 rated healthcare providers

Job description

Position Overview 

Data Science Analysts at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data to identify patterns and insights impacting patient health. This position is assigned to the Neurology AI program and focuses on developing workflows for medical imaging and electrophysiological data. This role emphasizes a collaborative, team-based approach to problem-solving, working closely with clinicians, informaticians, and technical partners to develop clinically meaningful solutions. 

In addition to standard model development and analysis, this role requires a significant component of software and data engineering. The Data Science Analyst will develop and modify software to interface with existing systems that produce clinical data streams, supporting data management, extraction, and analysis. 

Primary Responsibilities 

  • Data Analysis & Modeling: Executes analytical procedures using machine learning, deep learning, statistical data processing, and signal processing techniques. Develops predictive models on datasets to address business and clinical problems. 

  • Software & Data Engineering: Develops and modifies scripts or software applications to support data management and extraction. Interfaces with existing software systems to build workflows for medical imaging and electrophysiological data. 

  • Consultation: Works with engineers, informaticians, and clinicians to develop and deploy analytic solutions for non-technical users. Provides data insights for problems approachable through analytics techniques using a consultative, team-oriented mindset. 

  • Reporting & Communication: Contributes to the interpretation of data analysis and report writing. Presents findings to business or clinical practice stakeholders. 

  • Support: Helps customers understand datasets and provides training or suggestions for improvement on data requests. May support scientific projects under the guidance of a senior-level data scientist. 

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.

A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.
 

The preferred candidate will possess a Master's degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data. 

Technical Competencies 

  • Programming: Proficiency in Python is required. Exposure to Java or C is preferred for system interfacing. 

  • Data Engineering: Experience with SQL and data warehousing/data lakes is required. Familiarity with Apache Spark or similar tools is preferred. 

  • Signal Processing: Basic familiarity with time series analysis and signal processing methodologies. 

  • Analytics: Demonstrated application of analytical tools and methodologies (e.g., machine learning, statistical packages, modeling). Experience with data modeling and data exploration tools. 

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

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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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