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Data Analyst Data Science Jobs in Minnesota (NOW HIRING)

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

BA/BS or equivalent experience * 3+ years of work experience in data analysis or masters level education in business analytics, data science, etc. * Utilize tools (Python, SQL) to build insights and ...

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

BA/BS or equivalent experience * 3+ years of work experience in data analysis or masters level education in business analytics, data science, etc. * Utilize tools (Python, SQL) to build insights and ...

The role involves leading advanced analytic efforts, conducting end-to-end data science activities, and transforming complex datasets into actionable insights to drive data-informed decision-making ...

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Data Analyst Data Science information

See Minnesota salary details

$14

$39

$66

How much do data analyst data science jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data analyst data science in Minnesota is $39.03, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $47.31 per hour, depending on experience, location, and employer.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Minnesota? For Data Analyst Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Minnesota look for? The top searched job categories for Data Analyst Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Data Analyst Data Science jobs? Cities in Minnesota with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Minnesota as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,189 per year, or $39 per hour.
Principal AI Data Analyst- Remote

Principal AI Data Analyst- Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 9 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 886 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.  

The Principle Event Data Analyst (AI & Advanced Analytics) is responsible for leading AI driven investigation and analysis of workplace incidents and data events using a systematic, analytics first approach. This role focuses on identifying impacted data at scale through automation, machine learning, and advanced analytics, while collaborating with cross functional teams including security, legal, privacy, and engineering.

This role plays a key part in building and evolving an AI enabled investigative data platform, leveraging modern data lake architectures, distributed processing, and production AI/ML pipelines to accelerate insight generation and decision making.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Lead AI assisted analysis of data events and incident investigations using structured and unstructured data
  • Design and implement automated pipelines to ingest, normalize, deduplicate, enrich, and classify large scale datasets
  • Apply machine learning, entity resolution, and data fingerprinting techniques to identify impacted individuals and data elements
  • Build and maintain production analytics solutions using Python, PySpark, and Databricks
  • Develop and deploy AI driven workflows (including Generative AI use cases) to improve investigative speed, accuracy, and scalability
  • Secure, preserve, and validate data sources to maintain analytical integrity and evidentiary standards
  • Partner with security, legal, and privacy teams to translate complex analytical findings into clear, actionable insights
  • Create dashboards, visualizations, and analytical summaries for executive and technical stakeholders
  • Operate effectively in time sensitive environments while maintaining analytical rigor, objectivity, and confidentiality
  • Contribute to the evolution of Optum's AI and analytics capabilities within the cybersecurity and data protection space

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree or 6 years of equivalent professional experience
  • 5 years of experience in advanced data analytics, data science, or AI focused analytical roles
  • 5 years of experience developing, testing, and deploying production grade Python code
  • 3 years of experience with DevOps and CI/CD tooling (GitHub Actions, Docker, Kubernetes, Terraform)
  • 3 years of experience with distributed data processing using PySpark and Databricks
  • Proven experience working with data lake architectures and medallion schemas
  • Proven solid expertise in SQL, data modeling, and data integration
  • Proven ability to transform unstructured data (e.g., documents, images, OCR-derived content) into structured, enriched, and model-ready datasets

Preferred Qualifications:

  • Advanced degree in Data Science, Computer Science, or a related field
  • Hands on experience with machine learning, predictive analytics, and classification models
  • Experience delivering AI driven analytics within a cybersecurity or incident response environment
  • Experience deploying Generative AI solutions into production analytics workflows
  • Experience with entity resolution, MDM technologies, or identity matching
  • Experience building AI models for file classification, data fingerprinting, or anomaly detection
  • Demonstrated familiarity with cloud platforms such as AWS, Azure, or Google Cloud
  • Demonstrated familiarity with eDiscovery platforms and large scale data investigations
  • Proven solid understanding of modern analytics platforms and scalable data architectures

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. 


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