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Python Data Analysis Internship Jobs in Iowa (NOW HIRING)

B2E Marketing

Marketing Data Scientist

Des Moines, IA · On-site

Experience with SQL, Python or R (Alteryx strongly preferred); predictive modeling; statistical analysis; and data integration. * Familiarity with cloud-based data environments, AI/ML concepts, and ...

FARMER MAC

Data Scientist - Credit Analytics

Johnston, IA · On-site

$115K - $160K/yr

Python (preferred) or R, SQL, git, and related programming skills * Research skills * Ability to ... Three to seven years of professional data science, credit modeling, econometric analysis, research ...

Pwc

AI & GenAI Data Scientist - Manager

Des Moines, IA · On-site

$99K - $232K/yr

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

Pwc

GenAI Python Systems Engineer-Manager

Des Moines, IA

$99K - $232K/yr

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 ...

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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:
Python Data Analysis Internship jobs near you
Marketing Data Analytics

Marketing Data Analytics

Merchants Bonding Company

West Des Moines, IA • On-site

$79K - $98K/yr

Full-time

Posted 6 days ago

Job description

Say Yes to the Best Career Opportunities

Merchants Bonding Company™ is hiring professionals who value clarity, collaboration, and opportunities to make an impact. Our team is growing, and we’re looking for people who thrive in a fast-moving environment built on common sense underwriting and first-class experiences. If you're ready for the next step in your career with a team that says yes to the best, this is your opportunity.

Job Purpose:

The Marketing Data Analyst will build and maintain the data pipelines, integrations, and dashboards that support marketing performance and growth initiatives.  This role will work across multiple platforms (CRM, marketing automation, paid media, and web analytics) to pull, combine and structure data into usable reporting and insights which includes leveraging APIs, automating data workflows, and ensuring data accuracy across systems.  

In addition to building the data infrastructure, this role will monitor campaign performance, support testing efforts, and provide clear, data-driven insights to marketing and business stakeholders to help the organization understand what is working, where to optimize, and how to improve overall marketing effectiveness.  

Job Responsibilities: 

Data Integration and Pipeline Development

  • Build and maintain data pipelines that pull from platforms such as Salesforce, Marketo, Google Analytics, LinkedIn, and paid media channels
  • Implement API integrations and use scripting (Python, SQL, or similar) to automate data collection, transformation, and reporting
  • Combine multiple data sources into clean, reliable datasets for analysis and reporting
  • Monitor data quality and resolve discrepancies across systems

Dashboards and Performance Reporting

  • Develop and maintain dashboards that track marketing performance across channels
  • Ensure stakeholders have access to accurate, up-to-date reporting
  • Track and report on key metrics such as ROI, CPA, conversion rates, and campaign performance
  • Identify trends, anomalies, and performance gaps through ongoing monitoring

Insights and Business Support

  • Translate data into clear, actionable insights for marketing and business stakeholders
  • Partner with marketing team members to define reporting needs and success metrics
  • Deliver ad hoc analysis and data insights to support business decisions
  • Help standardize reporting and measurement practices

Testing and Optimization

  • Implement A/B and multivariate testing frameworks, including tracking and measurement
  • Analyze results and provide clear recommendations for optimization
  • Implement and contribute to a structured “test and learn” approach to improve performance over time

Education and Skills

  • Experience working with Python, SQL, or a similar language to pull, manipulate, and analyze data
  • Experience working with APIs and integrating data from marketing platforms (Google, LinkedIn, CRM systems such as Salesforce or Marketo)
  • Experience building and maintaining dashboards using tools such as Power BI, Looker Studio, or QuickSight
  • Strong understanding of marketing performance metrics (ROI, CPA, conversion rates, CTR)
  • Experience automating data pipelines and reporting workflows
  • Familiarity with A/B and multivariate testing and measurement
  • General understanding of digital marketing channels (SEO, SEM, paid media, email)
  • Minimum 3 years experience in marketing analytics, data analytics, or related field.

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