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Python Data Analysis Internship Jobs in Minnesota

Thomson Reuters

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data analysis and scripting), Excel (including advanced functions and modeling), and PowerPoint. * Have ...

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data analysis and scripting), Excel (including advanced functions and modeling), and PowerPoint. * Have ...

Gravie

Data Analyst

Minneapolis, MN · 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 ...

Gravie

Data Analyst

Minneapolis, MN · On-site

$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 ...

Gravie

Data Analyst

Minneapolis, MN · 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 ...

Cliftonlarsonallen

Data Analyst Senior

Minneapolis, MN · On-site +1

$89K - $113K/yr

... Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or ... Data Analysis: Participate in the collection and analysis of data using a variety of data tools.

Solution Design Group

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/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 ...

Emergent Software

Data Analyst

Maple Plain, MN · On-site

$45 - $55/hr

Perform ad hoc analysis and deep dives to generate actionable insights * Automate internal and ... Familiarity with tools such as DAX, Python, dbt, LookML, SSRS, and Snowflake * Familiarity with ...

Dlapiper

Data Engineer

Minneapolis, MN · On-site

$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 ...

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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:
Python Data Analysis Internship jobs near you
Director, Product Management - Analytics Platform (Minneapolis)

Director, Product Management - Analytics Platform (Minneapolis)

Teradata Group

Minneapolis, MN • On-site

$243K - $254K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Our Company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What You’ll Do What the role is about

The Director of Product Management – Analytics Platform leads the evolution of Teradata’s analytics stack from legacy In-Database Analytics to AI Studio-native, Python-first, and agentic workflows. This role owns the end-to-end Analytics Product Management charter, including Script Table Operator (STO), Open Analytics Framework (OAF), workload migration to AI Studio, Wisdom integration, and developer experiences such as Python notebooks.

What impact this role has
  • Defines how SQL, Python, and AI workflows converge into a unified developer and runtime experience
  • Drives a top-priority workload migration program critical to ARR growth and renewals
  • Establishes STO as the execution backbone and OAF as the extensibility standard for analytics and AI
What success might look like
  • STO is the default execution path for advanced analytics and AI workloads
  • OAF is adopted as the standard packaging and extensibility framework
  • Enterprise customers successfully migrate from SQL-only analytics to AI Studio workflows
  • Strong adoption of notebooks and Python-first experiences versus legacy approaches
Who You’ll Work With
  • Product Engineering teams across India building execution, runtime, and developer tooling
  • Field and Worldwide Analytics Services (WWAS) teams driving customer adoption
  • Product Marketing (PMM) on positioning, packaging, and field enablement
  • Design partners and lighthouse customers shaping roadmap and architecture
  • Reports directly to the VP of Product and operates across global GTM stakeholders
Core Ownership Areas Analytics Execution & Platforms
  • Own the strategy and roadmap for Script Table Operator (STO) as the execution bridge between SQL and external runtimes (Python/R)
  • Drive performance, reliability, security, and GPU-aware execution paths
  • Simplify developer ergonomics, observability, and debugging across SQL and notebooks
Open Analytics Framework (OAF)
  • Define OAF as the standard framework to build, package, deploy, and extend analytics and AI capabilities
  • Enable reusable analytics components, third-party libraries, and agentic AI 'skills'
  • Improve versioning, dependency management, and portability across environments
In-Database Analytics Modernization
  • Own lifecycle decisions on legacy analytics functions
  • Rationalize what remains SQL-native versus what moves to Python, STO, and OAF
  • Drive convergence toward AI Studio-native and Python-first workflows
Workload Migration to AI Studio (Top Priority)
  • Lead structured migration programs from In-DB Analytics and batch SQL to interactive and agentic workflows
  • Own migration tooling, reference architectures, playbooks, and success metrics
  • Deliver measurable improvements in time-to-value, adoption, and customer outcomes
Developer Experience & AI Integration
  • Own notebook-based experiences inside AI Studio, competing with Databricks and Snowflake
  • Integrate Wisdom as a semantic and knowledge layer across structured and unstructured workflows
  • Reduce fragmentation across analytics, AI Studio, and developer tooling
What Makes You a Qualified Candidate (Required)
  • 15+ years of Product Management experience in data, analytics, or platform products
  • Deep knowledge of SQL engines, MPP systems, and Python data ecosystems
  • Proven experience building or scaling execution engines and extensibility frameworks
  • Demonstrated success leading platform migrations and developer platforms
What You’ll Bring (Preferred)
  • Experience with Databricks, Snowflake (Snowpark), Spark, or similar ecosystems
  • Exposure to agentic AI, LLM workflows, and unstructured or vector data pipelines
  • Strong ability to translate complex technical systems into clear product strategy
  • Experience operating across India-based engineering and US-based GTM teams
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