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

Perform data analysis, define and document business requirements, support translation to functional ... May manage projects of mid-level complexity, which could include sub-components of larger-scale ...

... a designated senior level data scientist. Other responsibilities: Provides data insights for ... Executes analytical procedures in the framework of a specific project work request. Creates or ...

... a designated senior level data scientist. Other responsibilities: Provides data insights for ... Executes analytical procedures in the framework of a specific project work request. Creates or ...

Sr. Data Science Analyst - EOAM

Rochester, MN ยท On-site

$84K - $105K/yr

May provide Consultative Services at an enterprise level to departments/divisions and/or support ... to analyze data and advanced knowledge of data types, topics, and scientific challenges and ...

Sr. Data Science Analyst - EOAM

Rochester, MN ยท On-site

$84K - $105K/yr

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... May provide Consultative Services at an enterprise level to departments/divisions and/or support ...

Sr. Data Science Analyst - EOAM

Rochester, MN ยท On-site

$84K - $105K/yr

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... May provide Consultative Services at an enterprise level to departments/divisions and/or support ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... May provide Consultative Services at an enterprise level to departments/divisions and/or support ...

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Data Analyst Mid Level information

See Rochester, MN salary details

$34.6K

$84K

$138.2K

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

As of Jul 29, 2026, the average yearly pay for data analyst mid level in Rochester, MN is $84,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,600.00 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 if you have relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully transition into data roles later in life by gaining certifications, building portfolios, and leveraging prior experience. Age is less a barrier than skills, continuous learning, and practical experience in the field.

What is a mid-level analyst?

A mid-level data analyst is a professional with several years of experience who analyzes data to identify trends, create reports, and support decision-making. They typically have proficiency in tools like Excel, SQL, and data visualization software, and may work under the supervision of senior analysts or managers.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a mid-level data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are less likely to be fully replaced by AI in the near term.

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

In the field of data analysis, earning $1,000,000 annually is uncommon and typically requires senior roles such as Chief Data Officer or data-focused executive positions, often combined with bonuses, stock options, or profit sharing. High earnings in this field usually involve extensive experience, advanced skills in analytics tools, and leadership responsibilities within large organizations or consulting firms.

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 are popular job titles related to Data Analyst Mid Level jobs in Rochester, MN? For Data Analyst Mid Level jobs in Rochester, MN, the most frequently searched job titles 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:

Business Analyst (Remote)

Da Vinci Software

Rochester, MN โ€ข On-site, Remote

Full-time

Posted 21 days ago


Job description

Overview:
We are seeking a Business Analyst with proficient understanding of business strategy and business planning principles as they apply to project work (areas may include but not limited to: value proposition, mission/strategy, goals/objectives, technology assessments, funding, and management/administration).
Key Responsibilities:
  • Provide business analysis services at a local, institutional, and enterprise level.
  • Understand and consider both the business and the technical needs of all customers with the goal of providing a quality product or process that meets the business objectives.
  • Examine costs, benefits and risks associated with the proposed investment/project and recommend alternatives for solutions throughout the business life cycle.
  • Collaborate with stakeholders and users to synthesize, articulate, and document business objectives and requirements by applying system and analytical thinking methodology and discipline.
  • Contribute to project charter and plans, work assignments, target dates, and other aspects of assigned projects.
  • Apply systems engineering methodologies and discipline throughout the project lifecycle.
  • Perform data analysis, define and document business requirements, support translation to functional specifications early in the development cycle, and conclude with design synthesis and system validation while considering the complete system.
  • Assist project leaders in coordinating deployment of deliverables.
  • Demonstrate system and analytical thinking capability.
  • Progressive knowledge and demonstrated use of business analysis methodologies and tools.
  • Maintain effective correspondence and in-person communication.
  • Build credibility, rapport and partners with others to understand their needs and provide conflict resolution, problem solving, and ability to drive consensus.
  • Work in partnership with stakeholders to develop a solid knowledge base of business needs.
  • May manage projects of mid-level complexity, which could include sub-components of larger-scale projects as directed by project leaders.
Position Requirements:
  • Bachelor's degree and six (6) years experience in business analysis, business administration, engineering, information science, health or science-related field.
Additional Information:
  • Fully Remote Role (M-F 8am-5pm)
  • W2 Candidates Only

Da Vinci Software logo

About Da Vinci Software

Sourced by ZipRecruiter

Who We Are We are a software company that strives to build sustainable relationships through the delivery of innovative solutions. Agile software development is at the heart of 'how we work' which allows us to bring people together for strong collaboration and problem solving. What We Do We provide enterprise-level agile coaching and development services. The Da Vinci Agile Coaching model is built on four pillars that ensure successful adoption and scale across an organization. The enterprise framework we have built supports this foundation through recognition of, and integration with, legacy processes. We passionately believe 'how we work' is the intangible our developers demonstrate for our clients every day. Our high-performing team members provide leadership and chemistry on your teams. We provide architects, developers and testers that enjoy accountability, team success and delivering meaningful products.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Burnsville, MN, US

Year founded

2008

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