Data Analytics Specialist Jobs in Minnesota
Data Analytics Specialist jobs in Minnesota are open across Minneapolis and Maple Grove and other Minnesota metros, with employers like Fairview Health Services, Abbott, and Deluxe Corporation hiring at every experience level. Find a role that fits below and apply directly.
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INTRODUCTION
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.
For years, Abbott’s medical device businesses have delivered technologies that are faster, more effective, and less invasive. Whether through glucose monitoring systems, innovative therapies for heart disease, or solutions for chronic pain and movement disorders, our technologies help people live healthier, better lives. Every day, our innovations help more than 10,000 people maintain healthier hearts, improve quality of life for thousands living with chronic conditions, and free more than 500,000 people with diabetes from routine fingersticks.
Our location in Maple Grove, MN, currently has an opportunity for a Specialist, Clinical Planning and Performance. This role focuses on transforming complex operational and planning challenges into practical, data-driven solutions that improve how work gets done. The Specialist will apply advanced analytics, AI-enabled tools, and structured problem-solving to clarify business needs, generate insights, and support better decision-making across clinical planning and performance activities.
Working closely with cross-functional partners, this individual will help develop scalable approaches, evaluate tradeoffs, and translate analytical findings into clear recommendations, adoption plans, and sustainable improvements.
WHAT YOU’LL DO
- Lead end-to-end AI and analytics initiatives from problem discovery through solution design, prototyping, evaluation, implementation planning, success measurement, and adoption support.
- Conduct exploratory analysis, generate hypotheses, validate findings with data, and identify key drivers of business performance.
- Perform financial analysis of clinical study spending and build planning models.
- Design practical solutions using applied AI, machine learning, statistical modeling, automation, or business intelligence techniques where appropriate.
- Develop reusable assets such as analytical frameworks, solution patterns, evaluation methods, templates, workflow components, and operating documentation to improve speed, consistency, governance, and sustainability.
- Partner with cross-functional stakeholders to gather requirements, align priorities, evaluate tradeoffs, communicate recommendations, and support execution of analytics-enabled transformation efforts.
EDUCATION AND EXPERIENCE YOU’LL BRING
Required:
- Associates Degree
- 1 year related experience
Preferred
- Bachelor’s degree with 2+ years of relevant experience, or Master’s degree with 1+ years of experience in applied AI, analytics, data science, data engineering, strategy, consulting, automation, or related fields.
- Demonstrated experience using AI, advanced analytics, or data-backed problem solving to improve business processes or decision-making.
- Strong structured problem-solving skills, including the ability to break down ambiguous questions, generate hypotheses, analyze data, and develop practical recommendations.
- Evidence of follow-through: taking work from idea, analysis, or prototype through usable outcome, implementation, adoption, or measurable impact.
- Technical fluency with tools or concepts such as Python, SQL, APIs, data modeling, workflow automation, BI platforms, LLM-enabled tools, or statistical modeling.
- Ability to learn new business domains quickly and translate between business needs, analytical methods, and technical execution.
- Experience with GenAI or agentic AI concepts (e.g., LLMs, embeddings, retrieval/RAG, prompt engineering, tool calling, workflow orchestration, evaluation, human-in-the-loop design).
- Experience with data science methods such as forecasting, optimization, simulation, predictive modeling, statistical analysis, segmentation, or scenario planning.
- Experience designing scalable analytics products, semantic models, dashboards, data quality processes, reusable data structures, or solution architecture.
- Experience in consulting, strategy, operations, finance, healthcare, planning, supply chain, or other complex business environments.
WHAT WE OFFER
At Abbott, you can have a good job that can grow into a great career. We offer:
- Training and career development, with onboarding programs for new employees and tuition assistance
- Financial security through competitive compensation, incentives and retirement plans
- Health care and well-being programs including medical, dental, vision, wellness and occupational health programs
- Paid time off
- 401(k) retirement savings with a generous company match
- The stability of a company with a record of strong financial performance and history of being actively involved in local communities
Learn more about our benefits that add real value to your life to help you live fully.
The base pay for this position is $61,300.00 – $122,700.00. In specific locations, the pay range may vary from the range posted.
Abbott is an Equal Opportunity Employer, committed to employee diversity.
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Find JobsData Analytics Specialist Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Data Analytics Specialist Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
- Fairview Health Services2

- Abbott1

- Deluxe Corporation1

- Palo Alto Networks1

Top Industries Hiring
- Healthcare & Medical Services2
- Agriculture & Farming1
- Consulting & Professional Services1
- Technology & Software1
What Minnesota Employers Look For
The qualifications that appear most often in data analytics specialist jobs across Minnesota.
- Proficiency in SQL for querying and manipulating large relational databases
- Experience with data visualization tools such as Tableau, Power BI, or Looker
- Ability to write and execute data analysis scripts in Python or R
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Familiarity with cloud data platforms such as AWS Redshift, BigQuery, or Snowflake
- Strong communication skills for presenting findings to non-technical stakeholders
Data Analytics Specialist Jobs in Minnesota: Frequently Asked Questions
How many data analytics specialist jobs are there in Minnesota?
There are 5+ data analytics specialist openings in Minnesota on Migrate Mate as of June 2026, with the most roles in Minneapolis and Maple Grove. New positions post regularly as employers across Minnesota hire.
How much do data analytics specialists make in Minnesota?
Data analytics specialists in Minnesota earn a median of about $128,800 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,730 for the lowest 10% to over $179,640 for the top 10%. Pay rises with experience, specialty, and employer.
Which Minnesota cities have the most data analytics specialist jobs?
Minneapolis and Maple Grove have the most data analytics specialist openings in Minnesota right now, with additional roles spread across smaller metros statewide.
Which companies hire data analytics specialists in Minnesota?
Employers hiring data analytics specialists in Minnesota include Fairview Health Services, Abbott, and Deluxe Corporation, based on current listings on Migrate Mate as of June 2026.
Are there remote data analytics specialist jobs in Minnesota?
Yes. About 20% of data analytics specialist openings tied to Minnesota are remote or hybrid as of June 2026. The rest are on-site roles based in Minnesota metros.
How do I apply for data analytics specialist jobs in Minnesota?
You can apply to data analytics specialist jobs in Minnesota directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Minnesota location, then apply to each one that fits.
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