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Data Analyst Intern Jobs in Iowa (NOW HIRING)

Job Type Internship Description Feed Energy is seeking a motivated and curious AI & Data Intern to ... Conduct exploratory data analysis (EDA) to identify trends and insights * Assist with data ...

Feed Energy is seeking a motivated and curious AI & Data Intern to join our IT team. This role provides hands-on experience working with data, analytics, and emerging AI technologies to support ...

Description Feed Energy is seeking a motivated and curious AI & Data Intern to join our IT team. This role provides hands-on experience working with data, analytics, and emerging AI technologies to ...

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical ...

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical ...

Senior Data Analyst

Nevada, IA ยท On-site

$69 - $99/hr

Senior Data Analyst Date: Aug 12, 2026 Location: Any city, NV, US, 99999 Work Mode: Virtual (Exception only) Be part of a team that unleashes the power of leading-edge technologies to help improve ...

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Data Analyst Intern information

See Iowa salary details

$11

$21

$39

How much do data analyst intern jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data analyst intern in Iowa is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $23.03 per hour, depending on experience, location, and employer.

What does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

What are the key skills and qualifications needed to thrive as a data analyst intern, and why are they important?

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

What is the difference between Data Analyst Intern vs Data Scientist Intern?

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

What are the most commonly searched types of Data Analyst jobs in Iowa?

The most popular types of Data Analyst jobs in Iowa are:

What are popular job titles related to Data Analyst Intern jobs in Iowa?

For Data Analyst Intern jobs in Iowa, the most frequently searched job titles are:

What cities in Iowa are hiring for Data Analyst Intern jobs?

Cities in Iowa with the most Data Analyst Intern job openings:

Infographic showing various Data Analyst Intern job openings in Iowa as of August 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,966 per year, or $21.1 per hour.

AI & Data Intern

Pleasant Hill, IA โ€ข On-site

Riverhead Resources
Business Management Consultingย โ€ขย 51 - 200 employees

$25/hr

Full-time, Internship

Posted 13 days ago


Job description

Job Type
Internship
Description
Feed Energy is seeking a motivated and curious AI & Data Intern to join our IT team. This role provides hands-on experience working with data, analytics, and emerging AI technologies to support business decisions and operational efficiency. The ideal candidate is eager to learn, technically inclined, and excited about applying data-driven insights in a real-world environment. Success in this role means making a measurable impact - for example, reducing reporting turnaround times by 20% or improving data accuracy rates above 95%. Depending on timing and data infrastructure, top performers may have the opportunity to contribute to building an internal data chatbot that enables business users to query our data warehouse using natural language.
Key Responsibilities
  • Assist in collecting, cleaning, and organizing structured and unstructured data from multiple sources
  • Support the development and maintenance of dashboards, reports, and visualizations
  • Work with IT and business teams to identify opportunities for data analysis and automation
  • Participate in AI-focused initiatives such as:
    • Exploring machine learning models
    • Assisting with predictive analytics projects
    • Testing and validating AI solutions
  • Help design and document data pipelines and workflows
  • Conduct exploratory data analysis (EDA) to identify trends and insights
  • Assist with data governance, quality checks, and security practices
  • Create documentation and present findings to stakeholders

Learning Opportunities
  • Gain real-world experience in enterprise data environments
  • Work with modern AI and analytics tools
  • Develop business acumen by supporting cross-functional teams
  • Receive mentorship from IT and data professionals

Duration & Compensation
  • Duration: 10-12 weeks
  • Compensation: Paid, $25/hr

Requirements
Required Qualifications
  • Currently pursuing a degree or recent graduate in:
    • Computer Science
    • Data Science
    • Analytics
    • Mathematics
    • Computer Engineering
  • Strong technical skills in the following areas:
    • Proficiency in Python (including pandas and data manipulation libraries) and/or R
    • SQL and relational databases (e.g., ability to write queries with JOINs, aggregations, and filters to pull and transform data)
    • Data analysis concepts
  • Familiarity with Microsoft Excel and/or Power BI, Tableau, or similar tools
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities

Preferred Qualifications
  • Exposure to AI/ML concepts (e.g., regression, classification, clustering, NLP, generative AI/LLMs)
  • Experience with data visualization tools (Power BI preferred)
  • Familiarity with Claude and Agentic AI
  • Coursework or projects related to data analytics or AI

Key Competencies
  • Curiosity and willingness to learn
  • Attention to detail
  • Critical thinking
  • Adaptability and initiative

How to Apply Submit your resume along with any relevant projects, GitHub links, or portfolios demonstrating data or AI work. Strong weight will be placed on portfolios and project submissions - we want to see what you've built and contributed to. Be prepared to discuss your projects in technical detail during the interview.
Salary Description
$25.00 / hr