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Python Data Analysis Internship Jobs in Iowa (NOW HIRING)

Data Science Lead

Des Moines, IA · On-site

$121K - $146K/yr

Data science Data Modeling and Machine Learning modeling, or analytics Azure Machine Learning Azure Data Factory Azure Databricks Azure DevOps Azure AI Foundry Power BI Programming with Python and ...

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Senior Data Scientist

Des Moines, IA · On-site

$120K - $145K/yr

There is significant room for you to develop models and analytics ranging from time-series ... Python preferred) * Proven experience deploying, testing, and monitoring models at an enterprise ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

$26.25 - $35/hr

Ability to write basic SQL queries; familiarity with data analysis concepts. Experience with Python or similar programming languages is a plus. * Documentation: Experience supporting or creating ...

Sr Data Scientist

Des Moines, IA · On-site

$117K - $146K/yr

The sr data scientist is a member of the Data and Analytics Information Technology team, having a ... Advanced proficiency in Python and/or R, with extensive experience using standard libraries for ...

Data Science Lead

Des Moines, IA · On-site

$121K - $146K/yr

Data science Data Modeling and Machine Learning modeling, or analytics Azure Machine Learning Azure Data Factory Azure Databricks Azure DevOps Azure AI Foundry Power BI Programming with Python 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 Iowa? The most popular types of Python Data Analysis jobs in Iowa are:
What are popular job titles related to Python Data Analysis Internship jobs in Iowa? For Python Data Analysis Internship jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Iowa look for? The top searched job categories for Python Data Analysis Internship jobs in Iowa are:
What cities in Iowa are hiring for Python Data Analysis Internship jobs? Cities in Iowa with the most Python Data Analysis Internship job openings:
Sr. Data & Financial Analyst

Sr. Data & Financial Analyst

XL Specialized Trailers

Manchester, IA • On-site

Full-time

Posted 7 days ago

New


Job description

Senior Data & Financial Analyst – AI & Business Intelligence

About XL Specialized Trailers

XL Specialized Trailers is a leading manufacturer of specialized heavy-haul transportation equipment serving customers across North America. We are committed to operational excellence, data-driven decision making, and leveraging emerging technologies to improve performance across our business.

Position Summary

XL Specialized Trailers is seeking an exceptional Senior Data & Financial Analyst to serve as a strategic partner to executive leadership team. This role combines advanced financial analysis, business intelligence, data management, forecasting, and artificial intelligence applications to drive better decision-making throughout the organization.

The ideal candidate is highly analytical, exceptionally skilled in Excel, comfortable working with large and complex datasets, and passionate about leveraging AI and modern technology to improve business performance. This individual will work directly with senior leadership to provide actionable insights that influence operational, financial, and strategic decisions.

Key Responsibilities

Financial Analysis & Reporting

  • Develop and maintain sophisticated financial models, forecasts, and budgeting tools.
  • Analyze profitability by product line, customer, market segment, and operational area.
  • Prepare executive-level reporting, dashboards, and performance metrics.
  • Support strategic planning, capital investment analysis, and business case development.
  • Identify trends, risks, and opportunities through financial and operational analysis.

Data Analytics & Business Intelligence

  • Collect, organize, validate, and analyze data from multiple business systems.
  • Design and maintain automated dashboards and KPI reporting tools.
  • Develop business intelligence solutions that improve visibility into company performance.
  • Create predictive models and scenario analyses to support executive decision-making.
  • Translate complex data into clear recommendations for leadership.

Excel & Technology Leadership

  • Build advanced Excel models utilizing:
    • Power Query
    • Power Pivot
    • Complex formulas
    • Dynamic dashboards
    • VBA/macros where appropriate
  • Improve and automate reporting processes.
  • Ensure data integrity and establish best practices for data management.

AI & Process Innovation

  • Identify opportunities to apply AI tools across finance, operations, sales, and manufacturing.
  • Develop AI-assisted workflows to improve productivity and decision quality.
  • Evaluate emerging technologies and recommend practical applications.
  • Partner with leadership to implement AI-driven solutions that create measurable business value.
  • Serve as an internal champion for responsible AI adoption.

Strategic Support

  • Work directly with the CEO and executive team on special projects.
  • Conduct market, competitive, and operational research.
  • Support mergers, acquisitions, strategic initiatives, and growth opportunities as needed.
  • Provide data-backed recommendations to support company strategy.

Qualifications

Required

  • Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Business, Engineering, or related field.
  • 5+ years of experience in financial analysis, business intelligence, data analytics, or related roles.
  • Expert-level Microsoft Excel skills.
  • Advanced financial modeling and forecasting experience.
  • Strong analytical and problem-solving capabilities.
  • Experience working with ERP systems and large datasets.
  • Excellent communication and presentation skills.
  • Demonstrated ability to work independently and drive projects to completion.

Preferred

  • MBA, CPA, CFA, or related advanced credential.
  • Experience in manufacturing, industrial, transportation, or equipment industries.
  • Experience with Power BI, Tableau, SQL, Python, or similar analytics tools.
  • Experience implementing AI solutions in a business environment.
  • Knowledge of machine learning, automation platforms, and modern AI tools.
  • Familiarity with Microsoft Copilot, ChatGPT, Claude, Gemini, and related technologies.

Characteristics of the Ideal Candidate

  • Naturally curious and highly intelligent.
  • Obsessed with accuracy and attention to detail.
  • Comfortable challenging assumptions with data.
  • Strong business acumen and commercial awareness.
  • Self-motivated with an ownership mentality.
  • Technology-forward and continuously learning.
  • Able to simplify complex problems into actionable insights.
  • Trusted partner to senior leadership.

Compensation & Benefits

  • Competitive salary based on experience.
  • Performance-based bonus opportunity.
  • Comprehensive benefits package.
  • Career growth opportunities with a market-leading manufacturer.
  • Direct exposure to executive leadership and strategic decision-making.

AI & Technology Mindset (Non-Negotiable)

  • Demonstrated knowledge of modern AI concepts, tools, and applications.
  • Excited about AI and automation-not threatened by it.
  • Pragmatic: focused on ROI, execution, and adoption-not hype.
  • Able to translate AI potential into concrete business use cases.

Leadership Traits We Are Looking For

  • Business-minded, not functionally siloed
  • Comfortable making decisions with incomplete information (ambiguity)
  • Willing to challenge the status quo
  • High ownership and accountability
  • Curious, learning-oriented, and future-focused
  • Calm under pressure, direct, and credible

Why Join XL Specialized Trailers?

This is not a traditional analyst role. You will have a direct impact on executive decision-making, help shape the company's AI strategy, and drive initiatives that influence the future growth and profitability of the business