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Data Analyst Data Science Jobs in Eagan, MN (NOW HIRING)

OpEx Data Analyst Working at Abbott At Abbott, you can do work that matters, grow, and learn, care ... Computer Science, AI, software engineering or disciplines including Databases, Mathematics ...

OpEx Data Analyst Working at Abbott At Abbott, you can do work that matters, grow, and learn, care ... Computer Science, AI, software engineering or disciplines including Databases, Mathematics ...

Data Engineer III

Plymouth, MN · On-site

$90 - $153.30/hr

Data Scientist III - Plymouth, MN - OnsiteDaikin Applied is seeking a Data Scientist III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Data Analyst II

Cottage Grove, MN · On-site

$90.04 - $139.56/hr

## Data Analyst IIApplylocations: Cottage Grove, MNtime type: Full timeposted on: Posted Todayjob ... Bachelor's degree in a quantitative field (Computer Science, MIS, or related field) or relevant ...

Establishes best practices for data analysis and reporting. * Other duties as assigned. Skills and Competencies * A specialization in machine-learning, artificial intelligence, cognitive science or ...

Data gathering and analysis as part of assigned tasks and projects * Creating data visualization as part of assigned tasks and projects * Assist Editorial Service teams with market analysis and ...

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

Bachelor's degree in a quantitative field (Computer Science, MIS, or related field) or relevant ... data for analytical purposes. * Strong conceptual and communication skills in context of ...

Senior Data Analyst

Chanhassen, MN · On-site

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Bachelor's degree in mathematics, computer science, economics, statistics, data science ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field * Five or more years of professional experience in data engineering, analytics and reporting, or ...

Showing results 21-40

Data Analyst Data Science information

See Eagan, MN salary details

$34.7K

$84.3K

$138.7K

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

As of Aug 23, 2026, the average yearly pay for data analyst data science in Eagan, MN is $84,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,900.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a data analyst in data science?

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.

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 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 job categories do people searching Data Analyst Data Science jobs in Eagan, MN look for?

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

What cities near Eagan, MN are hiring for Data Analyst Data Science jobs?

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

Infographic showing various Data Analyst Data Science job openings in Eagan, MN as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $84,272 per year, or $40.5 per hour.

OpEx Data Analyst I

Abbott

Plymouth, MN • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

174th of 544 rated manufacturers


Job description

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.JOB DESCRIPTION:

OpEx Data Analyst

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have access to:

  • Career development with an international company where you can grow the career you dream of.

  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.

  • An excellent retirement savings plan with a high employer contribution

  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.

  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.

  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Plymouth, MNlocation for our Electrophysiology medical device business. In Abbott's Electrophysiology (EP) business, we're advancing the treatment of heart disease through breakthrough medical technologies in atrial fibrillation, allowing people to restore their health and get on with their lives.

What You'll Work On

Support the development of EP's Industry 4.0/AI/Automation foundation by building reliable, standardized data structures and insights that improve visibility into manufacturing and business performance. The role focuses on enabling data-driven productivity across production lines and core processes by supporting data collection, cleaning, integration, and basic pipeline development-while contributing to consistent data definitions, governance, and repeatable analytical workflows.

Rather than leading large-scale system deployment, this role helps establish the data backbone and decision logic that determines where digital and AI solutions create measurable value (e.g., GMI improvement, COGS reduction, delivery performance, and NPI scalability). The analyst ensures operational data is accessible, accurate, and actionable, enabling teams to identify inefficiencies, standardize Management Operating System (MOS) execution, and scale best practices across sites and value streams.

Data Foundations for Industry 4.0 (Primary Focus)

  • Supports the collection, cleaning, and structuring of manufacturing and operational data (e.g., throughput, cycle time, downtime, yield).

  • Build simple, reliable datasets that enable consistent measurement of productivity across sites and value streams.

  • Assists in establishing standardized data definitions to reduce variation in how metrics (e.g., OEE, lead time, scrap) are calculated and interpreted.

  • Contributes to defining "how EP works with data" in a standardized way.

Data-Driven Productivity Insights

  • Develops basic reports, dashboards, and visualizations to highlight inefficiencies in production lines and business processes.

  • Identifies trends, patterns, and anomalies that impact margin (GMI), cost (COGS), delivery performance, and capacity.

  • Supports root cause analysis by preparing structured datasets for problem-solving teams (e.g., Lean / MOS routines).

Industry 4.0/AI/Automation Use Case Identification

  • Assist senior team members in evaluating where digital, data, or AI solutions could improve productivity.

  • Build and integrate AI powered solutions, including agentic workflows

  • Helps document early-stage use cases informing decision logic to deploy at scale.

  • Leverage AI-assisted development tools (Claude, Codex, Cursor, GitHub Copilot) to accelerate delivery of transformational productivity improvements

Pipeline & Data Process Support

  • Assists in maintaining simple data pipelines and workflows for recurring reporting and analysis.

  • Supports automation of manual data collection and reporting processes to increase efficiency and reduce errors.

Business Collaboration (Operations-Focused)

  • Works with operations, engineering, and continuous improvement teams to understand process challenges.

  • Supports MOS (Management Operating System) routines with accurate and timely data.

Governance, Security & Compliance

  • Assists in applying data governance standards, including basic access controls and documentation.

  • Supports compliance with relevant frameworks (ISO 27001, ISO 42001, ISO 8000, etc.) as defined by the organization.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, AI. Computer Science, AI, software engineering or disciplines including Databases, Mathematics, Statistics, Physics, Machine Learning, Robotics or Engineering.

  • Minimum 1 year experience with degree; or sufficient transferable experience to demonstrate functional equivalence to a degree

  • Training using statistical analysis

  • Basic experience of database application

  • Basic knowledge of several tools (such as M365 Suite, Copilot, Databricks, SAP, Azure ML, OpenAI, other Generative Pre-trained Transformers (GPT)

Preferred Qualifications:

  • Prior experience/education in life sciences or healthcare preferred

  • Experience building and integrating AI-powered solutions into production applications (including LLM integrations, prompt engineering, stacks, and APIs)

  • Exposure to agentic AI frameworks such as Databricks, AWS, CrewAI, Agno, or similar AI orchestration frameworks

What We Offer

At Abbott, you can have a good job that can grow into a great career. We offer:

  • A fast-paced work environment where your safety is our priority

  • Production areas that are clean, well-lit and temperature-controlled

  • 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

Apply Now

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on X @AbbottNews.

The base pay for this position is

$50,700.00 - $101,300.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:EngineeringDIVISION:EP ElectrophysiologyLOCATION:United States > Minnesota > Plymouth : 5050 Nathan Lane NADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 5 % of the TimeMEDICAL SURVEILLANCE:NoSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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