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Python Data Analysis Jobs in Minnesota (NOW HIRING)

Solution Design Group

Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

... as Python, Java, JavaScript or C# • Experience using messaging middleware such as RabbitMQ, ActiveMQ, MSMQ and IBM MQ or other related technologies • Data analysis and visualization tools ...

DLA Piper

Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

... Python. Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). Data warehousing experience (Azure Synapse Analytics) and strong ...

Cardinal Health

Senior Data Analyst

Saint Paul, MN · On-site

$86.70K - $109.40K/yr

Perform advanced exploratory data analysis using strong SQL skills, validating hypotheses ... Experience analyzing data leveraging SQL, Python for data models in GCP (BigQuery, BigTable ...

Dlapiper

Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Apex Systems

IT Analyst III

Maplewood, MN · On-site +1

Python or R for data analysis * Data modeling / data warehousing experience * Exposure to AI / machine learning concepts * Experience in regulated environments (healthcare, manufacturing, etc.

Keylent Inc

Data Engineer

Minneapolis, MN · On-site

$65/hr

At least 1+ years' Experience & Understanding of Kafka / spark / python is plus. * Proficiency in writing and understanding complex SQL Query * Experience Data Analysis / Data Model / Unit Test

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How much do python data analysis jobs pay per hour?

As of May 28, 2026, the average hourly pay for python data analysis in Minnesota is $57.41, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.19 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
More about Python Data Analysis jobs
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What are popular job titles related to Python Data Analysis jobs in Minnesota? For Python Data Analysis jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Minnesota look for? The top searched job categories for Python Data Analysis jobs in Minnesota are:
What cities in Minnesota are hiring for Python Data Analysis jobs? Cities in Minnesota with the most Python Data Analysis job openings:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Minnesota as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 4% Part Time, 2% Temporary, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $119,422 per year, or $57.4 per hour.
Senior Consultant, Data Analytics & Reporting

Senior Consultant, Data Analytics & Reporting

Cargill

Wayzata, MN

$110K - $160K/yr

Full-time

Posted 16 days ago

Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 215 frontline employees who took The Breakroom Quiz

18th of 48 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 lifes 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 Summary

The Senior Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With minimal supervision, this job collaborates with cross functional teams to ensure data accuracy and integrity performing data and statistical analysis using various programming languages. This job plays a key role in effectively presenting data findings to partners to meet business objectives.

Essential Functions
  • DATA COLLECTION & ANALYSIS: Captures, processes, prepares, and analyzes complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
  • STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.
  • REPORTING & VISUALIZATION: Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
  • STATISTICAL ANALYSIS: Performs statistical analysis to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
  • PROCESS IMPROVEMENT: Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
  • COLLABORATION: Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
  • DATA LITERACY: Coaches and advises to mature data consumption and analytics capabilities.
  • DATA ANALYSIS: Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.
  • QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses
Qualifications

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

Preferred Qualifications:

  • Strong proficiency with SQL, Power BI, Python, or similar
  • Experience building field mapping documents, data lineage, or technical specifications

The business will not sponsor applicants for work visas for this position.

Additional Information

The expected salary for this position is $110,000-160,000. 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.

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.

#LI-NS7

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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