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Python Data Analysis Internship Jobs in Minnesota

Data Analyst

Minneapolis, MN ยท Hybrid

$49K - $66K/yr

... analysis central to the management and development of Gravie's innovative healthcare solutions ... Familiarity with Python, R, or another statistical programming language * Excellent attention to ...

Data Analyst

Minneapolis, MN ยท Hybrid

$49K - $66K/yr

... analysis central to the management and development of Gravie's innovative healthcare solutions ... Familiarity with Python, R, or another statistical programming language * Excellent attention to ...

Informatics and Data Science interns provide data and informatics insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from ...

Data Engineer

Minneapolis, MN

$119K - $143K/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 ...

Data Scientist

Saint Paul, MN ยท On-site

$105K - $126K/yr

... internship experience, or equivalent hands-on industry experience may be considered in lieu of ... Experience analyzing system performance data and time series data. * Proficiency in Python and its ...

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Python Data Analysis Internship information

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What are the most commonly searched types of Python Data Analysis jobs in Minnesota? The most popular types of Python Data Analysis jobs in Minnesota are:
What are popular job titles related to Python Data Analysis Internship jobs in Minnesota? For Python Data Analysis Internship jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Minnesota look for? The top searched job categories for Python Data Analysis Internship jobs in Minnesota are:
Data Analyst

Data Analyst

Gravie

Minneapolis, MN โ€ข Hybrid

$49K - $66K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Job description

Hi, we're Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.


We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis central to the management and development of Gravie's innovative healthcare solutions, including our flagship level-funded and self-funded health benefits. You'll have a particular opportunity to dig into Individual Coverage Health Reimbursement Arrangements (ICHRAs), a fast-growing product reshaping how employers offer benefits. Join us as we reinvent the way people purchase and access healthcare.

This position is a hybrid position based in our NE Minneapolis office.ย  You must be able to work an average of three days a week in the office with the team.ย  We provide a paid parking spot or metro pass.

You Will:

  • Play a key role in helping Gravie to understand the performance of its business, understand new opportunities, and translate those insights into solutions that meaningfully improve the health benefits people get and the healthcare they receive.

  • Ask and answer the right questions, including: How are we doing? What should we continue doing? What should we stop doing?ย  What should we start doing in the future?

  • Take ownership of regular deliverables for various business units, leveraging multiple technologies to produce solutions that are consistent, accurate, and efficient.

  • Assist in the design and execution of diverse quantitative and qualitative analyses to support the evaluation, management, and growth of new and existing products for areas across the business.ย 

  • Use analytic and communication skills to tell stories with data, transforming basic and complex datasets into clear, actionable insights for both technical and non-technical audiences to influence business decisions and product roadmaps.ย 

  • Support a culture of using data to inform decisions within the organization.

  • Apply established quality assurance measures to ensure the accuracy, reliability, and consistency of all analytical deliverables.

  • Contribute to the design, development, and enhancement of our growing analytics platform by partnering with cross-functional teams to effectively integrate data insights into business strategies and product improvements, in a robust and scalable fashion.

  • Collaborate closely with other Analysts to share knowledge and best practices, fostering an environment of knowledge sharing and professional development.

You Bring:

  • Bachelor's degree, technical certification or equivalent experience required in Mathematics, Statistics, Data Science, Computer Science, Health Informatics, Economics, or other relevant area

  • 1+ years of experience in data analysis, business analytics, or a related field

  • Demonstrated analytical aptitude and problem-solving skills, with experience working with real-world datasets

  • Ability to translate data into business impact by crafting clear, data-driven narratives for stakeholders

  • Quantitative proficiency, including a solid understanding of basic mathematical and statistical concepts

  • Strong Microsoft Excel skills, including the ability to manipulate and analyze large and complex datasets

  • Experience using SQL to query databases and explore data

  • Familiarity with Python, R, or another statistical programming language

  • Excellent attention to detail with demonstrated accuracy and thoroughness

  • Strong verbal and written communication skills, with the ability to present findings clearly to technical and non-technical audiences

  • Habits of excellent organization, time management, and responsiveness

  • A flexible attitude and ability to work independently with limited direction

  • An appetite for learning and quickly putting what you learn into practice

  • Demonstrated commitment to core Gravie competencies of being authentic, curious, creative, empathetic and results oriented

  • You must be eligible to work in the United States without sponsorship now or in the future.

Extra Credit:

  • Background or interest in health insurance or healthcare

  • Understanding of industry-specific datasets (claims, EHR, etc.) or KPIs


Gravie:ย 

In order to create a more equitable and sustainable future for employer-sponsored health insurance, we need talented people doing amazing work. In exchange, we offer a great overall employee experience with opportunities for career growth, meaningful mission-driven work, and an above average total rewards package.

The salary range for this position is $49,500 - $66,000 annually. Numerous factors including, but not limited to, education, skills, work experience, certifications, etc. will be considered when determining compensation.

Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie's package includes alternative medicine coverage, generous PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and paid paw-ternity leave.

A Little More About Us:

  • We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space.
  • We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized.
  • Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% - nearly 40 points above the industry average.
  • Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. We may not be the right place for everybody, but if you get energized by doing work every day that focuses on putting consumers at the front of the line, we could be a great place for you. It takes unique people and diverse perspectives to deliver our results. We encourage you to be your authentic self - we like you that way.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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