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

GDIT

Configuration Management Analyst

Rochester, MN

Support the collection of configuration data. * Support the development of CMDB policy, processes ... Data Analysis & Visualization with Power BI. * App Development Using Power Apps. * Automating ...

BC Forward Asymbl

MARKETING CAMPAIGN ANALYST

Rochester, MN · Remote

$45 - $50/hr

Translate complex data sets into clear visualizations and executive-level insights for business and ... Experience analyzing large structured and unstructured data sets. * Hands-on use of digital ...

Posted today

BC Forward

SR SEO ANALYST

Rochester, MN · Remote

$60/hr

Entity and structured-data optimization expertise, including schema, semantic HTML, metadata, content architecture, and passage-level retrieval. * Experience with SEO content development and ...

Posted today

BC Forward Asymbl

SR SEO ANALYST

Rochester, MN · Remote

$60 - $63.85/hr

Entity and structured-data optimization expertise, including schema, semantic HTML, metadata, content architecture, and passage-level retrieval. * Experience with SEO content development and ...

Posted today

Lantern

Strategy Analyst

Rochester, MN · On-site

Analyze claims and cost savings data to drive insights for reporting and product improvement * Conduct market research and competitive analysis to identify industry trends and business opportunities

247Hire

Marketing Campaign Analyst

Rochester, MN · On-site

$60 - $80/hr

Develop clear, actionable insights by converting data into meaningful reports for technical and business stakeholders. Marketing Campaign Analyst Qualifications * Minimum of 3 years of experience in ...

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$138.2K

How much do data analyst analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data analyst analyst 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.

Can I become a data analyst with no experience?

Data analyst roles often require some knowledge of data manipulation, statistics, and tools like Excel, SQL, or Python. While prior experience is helpful, many entry-level positions accept candidates who have completed relevant training, certifications, or coursework to develop necessary skills.

What exactly does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills in statistical analysis, data visualization, and domain knowledge that AI tools currently cannot fully replicate, making human expertise still valuable in the field.

What are popular job titles related to Data Analyst Analyst jobs in Rochester, MN?

For Data Analyst Analyst jobs in Rochester, MN, the most frequently searched job titles are:

What job categories do people searching Data Analyst Analyst jobs in Rochester, MN look for?

The top searched job categories for Data Analyst Analyst jobs in Rochester, MN are:

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Cities near Rochester, MN with the most Data Analyst Analyst job openings:

Data Analyst Analyst jobs near you
Infographic showing various Data Analyst Analyst job openings in Rochester, MN as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $80,680 per year, or $38.8 per hour.

Principal Data & Analytics Strategist

Rochester, MN • On-site

Mayo Clinic
Hospitals • 10K+ employees
Learn more about Mayo Clinicexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz

137th of 898 rated healthcare providers

Job description


The Principal Data Analytics & AI Strategist is a principal-level individual contributor who serves as a technical authority and enterprise-level thought leader for data, analytics, and AI solution direction across products, platforms, and strategic problem areas. This role shapes how enterprise data, analytics and AI strategy is translated into scalable solution patterns, architectural guardrails, and delivery models that can be consistently executed across teams.
The role connects system-level technical decisions to broader enterprise data and analytics strategy, governance, and investment intent-ensuring initiatives are interoperable, governable, and positioned to deliver sustained, measurable value at scale. The Principal Data Analytics & AI Strategist operates across high ambiguity, making and documenting complex tradeoffs related to platform capabilities, data architecture, analytics and AI patterns, operating constraints, and sequencing of delivery.
Working across domains and portfolios, the Principal Data Analytics & AI Strategist influences the full solution lifecycle-from opportunity framing and options analysis through solution design guidance and delivery oversight. The role defines and socializes reference architectures, preferred patterns, and decision frameworks, supports high-risk or high-impact initiatives, and accelerates progress through hands-on exploration and prototyping where early technical validation is critical.
The Principal Data Analytics & AI Strategist partners closely with senior leaders and practitioners across data engineering, analytics/BI, AI/ML, platform, security, and governance functions to align on technical direction, surface risks and dependencies early, and enable timely, enterprise-wide decision-making-exerting influence without direct authority to drive clarity, consistency, and execution momentum.
Qualifications
  • Bachelor's degree in computer science, information systems, engineering, mathematics, statistics, data science, or related field from an accredited University or College is required.
  • Master's degree or PhD in a related field (e.g., computer science, data science, business analytics, healthcare informatics, or MBA) is preferred.
  • Extensive (15-20+ years) experience in enterprise data, analytics, and/or AI strategy, architecture, consulting, product/program delivery, or related discipline.
  • Demonstrated experience defining enterprise-level strategy and translating it into executable roadmaps, capability models, and delivery guardrails across multiple portfolios.
  • Proven ability to communicate complex technical implementation concepts to executive leadership, including architecture tradeoffs, investment options, risk, and sequencing; produces clear, decision-ready materials.
  • Strong working knowledge of modern data and analytics concepts (data products, data platforms, pipelines, BI/visualization, governance, metadata, quality, privacy/security fundamentals, and observability).
  • Experience influencing across senior stakeholders and cross-functional teams (engineering, analytics, AI/ML, security, privacy, architecture, governance) to drive alignment and decisions in ambiguous environments.
  • Experience operating in regulated environments (e.g., healthcare, research, financial services), with familiarity with privacy, compliance, governance, and responsible AI expectations.
  • Demonstrated facilitation skills for executive and technical audiences (workshops, strategic reviews, governance forums) and strong written communication skills.
  • Certification in one or more major cloud platforms (Google, Azure, etc)
  • Experience establishing or evolving enterprise data operating models (e.g., data product operating model, platform governance, domain engagement, stewardship models) and measuring adoption/maturity over time.
  • Experience developing and/or governing enterprise AI strategy, including responsible AI controls, model risk management, and GenAI/agentic patterns (grounding, evaluation, monitoring).
  • Experience with cloud data platforms and modern architecture patterns (lakehouse/warehouse, streaming/eventing, semantic layers/metrics, MDM/reference data), including cost/value tradeoffs.
  • Demonstrated experience building reusable playbooks, reference architectures, templates, and standards that scale delivery across multiple teams.

The ideal candidate will have prior experience in working through large scale AI transformations for organizations including creation of vector stores, Knowledge graphs, MCP servers and getting an organization data teams AI ready.
About Us
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.

About the Team
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.

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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