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Data Analytics Internship Jobs in Indiana (NOW HIRING)

Dekko

Data Scientist - Intern

Fort Wayne, IN

Previous internship or project experience in data science or analytics How Success is Measured * Ability to deliver clear, accurate, and actionable insights from data. * Quality and reliability of ...

Steel Dynamics, Inc.

Accounting Internship

Fort Wayne, IN

$14.75 - $18.50/hr

Analyze and reconcile reporting differences related to material tracking methodologies * Work with ... Compile and organize financial and operational data from multiple business units * Participate in ...

New

Steel Dynamics, Inc.

Accounting Internship

Fort Wayne, IN

$14.75 - $18.50/hr

MsoNormal">Analyze and reconcile reporting differences related to material tracking methodologies ... MsoNormal">Assist with data validation, reporting accuracy, and process documentation * MsoNormal ...

New

Accenture

Data Protection Sr. Analyst

Indianapolis, IN · Hybrid

$84.80K - $100.70K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Lilly

Data Scientist

Indianapolis, IN · On-site

You'll analyze complex datasets - regulatory documents, clinical trial data, submission timelines ... internship setting * Qualified applicants must be authorized to work in the United States on a ...

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Data Analytics Internship information

See Indiana salary details

$11

$21

$40

How much do data analytics internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for data analytics internship in Indiana is $21.41, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $23.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What types of projects do Data Analytics Interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.

What is a Data Analytics Internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What are the most commonly searched types of Data Analytics jobs in Indiana? The most popular types of Data Analytics jobs in Indiana are:
What are popular job titles related to Data Analytics Internship jobs in Indiana? For Data Analytics Internship jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Analytics Internship jobs in Indiana look for? The top searched job categories for Data Analytics Internship jobs in Indiana are:
What cities in Indiana are hiring for Data Analytics Internship jobs? Cities in Indiana with the most Data Analytics Internship job openings:
Data Analytics Internship jobs near you
Infographic showing various Data Analytics Internship job openings in Indiana as of May 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,542 per year, or $21.4 per hour.
Data Scientist - Intern

Data Scientist - Intern

Dekko

Fort Wayne, IN

Full-time, Internship

Posted 4 hours ago

Job description

Job Title: Data Scientist - Intern

Location: Onsite – Fort Wayne, IN

Reports To: Director of IT

Why This Role Exists

This internship provides hands-on experience working with real-world data while exploring how AI and automation can improve business processes. You'll support data-driven decisions, help identify opportunities to streamline workflows, and contribute to building scalable reporting and automation solutions across the organization. By partnering with cross-functional teams, you'll gain exposure to the full data lifecycle and contribute to building scalable reporting and automation capabilities across the organization. By engaging with a local university student, we hope to fulfill our needs and create a relationship with future employment possibilities.

What You'll Be Doing

  • Analyze and explore data to identify trends, inefficiencies and opportunities for improvement.
  • Identify manual or repetitive processes and evaluate where automation or AI could add value.
  • Build and test simple data models, workflows, or proof-of-concepts to support business needs
  • Clean, preprocess, and organize data for analysis and usability.
  • Develop dashboards or visualizations to communicate insights clearly.
  • Partner with cross-functional teams to understand current workflows and translate business needs into practical, data-driven solutions.
  • Experiment with AI tools and emerging technologies to streamline processes and improve efficiency.
  • Document approaches, findings, and recommendations in a clear, usable way.

What You'll Bring

  • Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Foundational knowledge of data analysis, statistics, and problem-solving techniques.
  • Experience with programming (Python, R, or similar) and working with data (SQL or relational databases).
  • Interest in AI, automation, and using technology to improve how work gets done.
  • Ability to think critically about processes and identify opportunities for improvement.
  • Strong curiosity and willingness to experiment, learn quickly, and adapt in a hands-on environment.
  • Ability to communicate insights clearly to both technical and non-technical audiences.

Preferred

  • Experience with data visualization tools (e.g., Tableau, Power BI, or Cognos)
  • Previous internship or project experience in data science or analytics

How Success is Measured

  • Ability to deliver clear, accurate, and actionable insights from data.
  • Quality and reliability of models, analyses, or dashboards produced.
  • Effectiveness in communicating findings to both technical and non-technical audiences.
  • Timely completion of assigned projects and milestones.
  • Demonstrated initiative, curiosity, and willingness to learn new tools and techniques.
  • Collaboration and contribution to team goals.

Culture & Decision-Making

We value expertise and give it room to lead. Our culture emphasizes innovation, collaboration and respect for subject-matter experts.

What We'll Give You

  • Real-world experience working on impactful data projects
  • Mentorship from current IT employees
  • Opportunity to present your work to leadership
  • Networking opportunities and potential for future full-time roles

Ready to build what's next?

Apply now or reach out to learn more.

Dekko is proud to be an equal opportunity employer. We value diversity and are committed to creating an inclusive team.

Apply