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Generative Ai Data Analyst Jobs in Minnesota (NOW HIRING)

Lamex Foods, Inc

AI Consultant

Bloomington, MN · On-site

... data, analytics, automation, or technology transformation. * 3+ years of experience designing or implementing AI, generative AI, automation, analytics, intelligent agents, or decision-support ...

RELX Group plc

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

You would apply machine learning and AI technologies to execute analytical and statistical projects ... Experience with Generative AI, OpenAI, Copilot, and Claude. * Skilled in processing and ...

RELX

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

You would apply machine learning and AI technologies to execute analytical and statistical projects ... Experience with Generative AI, OpenAI, Copilot, and Claude. * Skilled in processing and ...

IDI Distributors

Business Analyst

Chanhassen, MN

$72K - $101K/yr

Experience with AI-enabled solutions, generative AI, or process automation tools is preferred Education and Experience: * Four or more years of experience in data analytics and financial modelling

Insulation Distributors

Business Analyst

Chanhassen, MN · On-site

$72K - $101K/yr

Experience with AI-enabled solutions, generative AI, or process automation tools is preferred Education and Experience: * Four or more years of experience in data analytics and financial modelling

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Generative Ai Data Analyst information

What is the salary of Generative Ai Data Analyst?

The average salary for a Generative AI Data Analyst ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in machine learning, data analysis, and proficiency in tools like Python or TensorFlow tend to earn higher salaries.

What is a generative ai data analyst?

A generative AI data analyst is a professional who analyzes data related to generative artificial intelligence models, such as those used for creating text, images, or other content. They interpret model outputs, evaluate performance, and work with tools like Python, machine learning frameworks, and data visualization software to improve AI systems and inform decision-making.

What is the difference between Generative Ai Data Analyst vs Data Scientist?

AspectGenerative Ai Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, AI, or related fields; certifications in AI toolsBachelor's or Master's in Data Science, Statistics, or Computer Science; advanced certifications
Work EnvironmentTech companies, AI startups, data-driven departmentsResearch labs, tech firms, finance, healthcare
Employer & Industry UsageFocus on generating AI-driven insights, content, or modelsDeveloping models, analyzing data, building predictive algorithms

While both roles involve data analysis and AI, Generative Ai Data Analysts specialize in working with generative AI tools to produce content or insights, whereas Data Scientists develop and refine predictive models and algorithms. The roles often overlap but differ in focus and application.

What are popular job titles related to Generative Ai Data Analyst jobs in Minnesota? For Generative Ai Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Generative Ai Data Analyst jobs in Minnesota look for? The top searched job categories for Generative Ai Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Generative Ai Data Analyst jobs? Cities in Minnesota with the most Generative Ai Data Analyst job openings:
Generative Ai Data Analyst jobs near you
Infographic showing various Generative Ai Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior AI/ Data Scientist - Pricing & Promotion

Cargill

Wayzata, MN • On-site

$105K - $160K/yr

Full-time

Re-posted 13 days ago

Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

20th of 49 rated food wholesalers

Job description

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life's essentials, we enable businesses to grow, communities to prosper, and consumers to live well.
This position is in our Food Enterprise where we are committed to serving food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. Our portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa and chocolate.
Job Purpose and Impact
The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal supervision, this role extracts and integrates complex data from various sources, builds advanced models suitable for the business use case and evaluates model performance for accuracy, scaling and deployment. This job also develops compelling and clear communication materials to facilitate partner on board. By leveraging diverse and expansive data sources, this role applies advanced forecasting, optimization, and machine learning techniques to transform how decisions are made across the supply chain. The Senior Professional accelerates AI adoption by partnering with business and technology teams. They work to embed models into core workflows, operationalizing data science to deliver sustained business impact.
Key Accountabilities
  • DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies.
  • DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas.
  • MODEL DEVELOPMENT: Develops and deploys artificial intelligence models, including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights.
  • AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications. .
  • DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing.
  • COMMUNICATION: Presents techniques and results to technical and non-technical audiences.
  • CONTINUOUS LEARNING: Examines existing and emerging artificial intelligence and optimization principles, theories, and techniques to develop and deploy artificial intelligence models into production, improving the organization's analytical capabilities.
  • STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and collaborates with cross functional teams to develop artificial intelligence models for digital applications.

Qualifications
  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Preferred Qualifications:
  • Master's degree or PhD in Applied Mathematics, Computer Science, Data Science, Operations Research, or a related field.
  • Deep experience leading the design, deployment, and scaling of applied AI/ML solutions that drive measurable business impact across complex value chains.
  • Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including model governance, performance monitoring, and lifecycle ownership.
  • Recognized depth in forecasting and optimization, with a track record of influencing enterprise-level decisions in pricing & commercial.

#HiPo
This role is not eligible for employer-sponsored work authorization now or in the future. This includes candidates whose work authorization is tied to a student visa, employer-sponsored visa, visa transfer, immigration petition, or other third-party sponsorship arrangement.
Short Description
The expected salary for this position is $105,000 - $160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
Equal Opportunity Employer, including Disability/Vet

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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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