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Ai Data Analytics Jobs in Iowa (NOW HIRING)

Feed Energy

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

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 ...

Feed Energy

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

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 ...

Riverhead Resources

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

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 ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Iowa

Ai Data Analytics information

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$23

$51

$88

How much do ai data analytics jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ai data analytics in Iowa is $51.42, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $58.27 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

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

The most popular types of Ai Data Analytics jobs in Iowa are:

What are popular job titles related to Ai Data Analytics jobs in Iowa?

For Ai Data Analytics jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Ai Data Analytics jobs in Iowa look for?

The top searched job categories for Ai Data Analytics jobs in Iowa are:

What cities in Iowa are hiring for Ai Data Analytics jobs?

Cities in Iowa with the most Ai Data Analytics job openings:

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics 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 $106,957 per year, or $51.4 per hour.

AI & Data Intern

Feed Energy

Pleasant Hill, IA • On-site

$25/hr

Internship

Posted 14 days ago

Job description

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.