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Associate Data Science Analyst Jobs in Minnesota

Ecolab

Sr Data Scientist

Saint Paul, MN · On-site

$118K - $177K/yr

... emphasis on analytics and 6 years of experience in progressive data science roles or Master ... With annual sales of $13 billion and more than 45,000 associates, Ecolab delivers comprehensive ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

The Marketing Data Scientist will analyze data to build predictive models that inform commercial strategy and collaborate with marketing and sales teams to enhance decision-making processes.

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Experience analyzing system performance data and time series data. * Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). * Strong background in statistical ...

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All JobsAssociate Data Science Analyst JobsAssociate Data Science Analyst Jobs in Minnesota

Associate Data Science Analyst information

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

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

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

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.
What cities in Minnesota are hiring for Associate Data Science Analyst jobs? Cities in Minnesota with the most Associate Data Science Analyst job openings:
Associate Data Science Analyst jobs near you
Infographic showing various Associate Data Science Analyst job openings in Minnesota as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Science, AI & Analytics Lead

Data Science, AI & Analytics Lead

FORWARD EDGE AI, INC

Saint Paul, MN • On-site

Contractor

Posted 26 days ago

Job description

Data Science, AI & Analytics Lead
Location: Fort Snelling, MN
Work Arrangement: Hybrid (Must reside within 50 miles of Fort Snelling, MN)
Clearance: Active Secret Clearance Required
Employment Type: Full-Time
Position Overview
Forward Edge-AI is seeking a Data Science, AI & Analytics Lead to support the U.S. Army Reserve CIO/G-6. This position will lead enterprise data analytics, artificial intelligence, machine learning, visualization, and data governance initiatives that enable data-driven decision-making, operational readiness, and digital transformation across the Army Reserve enterprise.
The ideal candidate will provide technical leadership for advanced analytics programs, develop executive-level dashboards and reporting solutions, guide AI/ML implementation efforts, and ensure compliance with enterprise data governance and quality standards. This role requires the ability to communicate complex analytical findings to senior military and civilian leadership and translate data into actionable business insights.
Work Location Requirement
This is a hybrid position. Candidates must reside within 50 miles of Fort Snelling, MN and be available to work on-site as required to support meetings, stakeholder engagements, workshops, and Government-directed activities. Candidates must be able to obtain and maintain installation access.
Key Responsibilities
  • Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions
  • Design and deliver executive dashboards, reports, scorecards, and visualizations using Power BI and other approved analytics platforms
  • Analyze structured and unstructured data to support operational readiness, strategic planning, and executive decision-making
  • Oversee enterprise data integration, ETL processes, API development, and data engineering activities
  • Establish and maintain data governance frameworks, metadata standards, and data quality controls
  • Identify authoritative data sources and ensure compliance with Army and DoD data strategies
  • Evaluate emerging technologies and recommend innovative solutions that support enterprise modernization initiatives
  • Brief senior military and civilian leadership on analytical findings, recommendations, and program performance
  • Collaborate with stakeholders, data engineers, analysts, and technical teams to deliver mission-focused solutions
  • Support Agile, DevSecOps, and modern data platform practices
  • Provide technical leadership and mentorship to analytics and data teams

Required Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field
  • Minimum of five (5) years of experience in data science, analytics, AI/ML, business intelligence, or related disciplines
  • Experience developing predictive models, machine learning solutions, and advanced analytics products
  • Proficiency with Python, SQL, Power BI, Azure Machine Learning, Databricks, or similar analytics platforms
  • Experience with data integration, ETL development, and enterprise data management
  • Strong understanding of data governance, data quality, metadata management, and data stewardship
  • Experience supporting federal agencies, Department of Defense organizations, or large enterprise environments
  • Active Secret Security Clearance
  • U.S. Citizenship required
  • Ability to communicate complex technical concepts to executive and non-technical audiences

Preferred Qualifications
  • Experience supporting Army, DoD, or federal data and analytics programs
  • Experience with Army Vantage, Advana, Azure cloud environments, or similar enterprise platforms
  • Microsoft, Azure, AI/ML, Data Analytics, Agile, or Project Management certifications
  • Experience leading cross-functional technical teams
  • Experience briefing General Officer, Senior Executive Service, or executive-level stakeholders

Why Forward Edge-AI
At Forward Edge-AI, you will work alongside mission-focused professionals delivering cutting-edge AI, analytics, and data solutions that directly support national defense objectives. Join a team committed to innovation, collaboration, and advancing the future of data-driven decision-making across the Department of Defense.

Apply