1

Data Analytics Intern Jobs in Indiana (NOW HIRING)

Working alongside the Business Intelligence team, the intern will support reports and dashboards, respond to support requests, contribute to analytics projects, and assist with data governance ...

Working alongside the Business Intelligence team, the intern will support reports and dashboards, respond to support requests, contribute to analytics projects, and assist with data governance ...

The Quality Intern will work closely with Quality and Production teams to collect, analyze, and report quality data while helping identify opportunities for process improvement and corrective action.

Quality Intern

Elkhart, IN · On-site

$19/hr

The Quality Intern will work closely with Quality and Production teams to collect, analyze, and report quality data while helping identify opportunities for process improvement and corrective action.

Engineer Summer Intern

Middlebury, IN · On-site

$15 - $19.50/hr

Summer intern will assist with Weights and Measures process management Intern will also work on ... Beneficial Incoming Skills Excel Acces Matlab or other alpha numeric data analysis tools I ntern ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

next page

Showing results 1-20

Data Analytics Intern information

See Indiana salary details

$11

$21

$40

How much do data analytics intern jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data analytics intern 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 understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are the big 4 internships?

The Big 4 internships typically refer to summer internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience for aspiring professionals in fields such as data analytics, accounting, and finance.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

How to get a data analyst intern?

To become a data analyst intern, candidates should develop skills in data analysis tools like Excel, SQL, or Python, and build a strong understanding of statistics and data visualization. Gaining relevant experience through coursework, projects, or certifications can improve chances, and applying to internships through company career portals or job boards is essential. Strong communication skills and a willingness to learn are also important for securing an internship in this field.

What does a data analyst intern do?

A data analyst intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and work under supervision to develop reports and visualizations that help organizations understand their data.

Is AI replacing data analysts?

AI tools are automating certain tasks in data analysis, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and domain knowledge that AI cannot fully replicate, making the profession unlikely to be fully replaced by AI in the near future.
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 cities in Indiana are hiring for Data Analytics Intern jobs? Cities in Indiana with the most Data Analytics Intern job openings:

Internship

Posted 14 days ago


Magnera rating

7.0

Company rating: 7.0 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

Magnera's purpose is to better the world with new possibilities made real. For more than 160 years, the originating companies have delivered the material solutions their partners need to thrive. Through economic upheaval, global pandemics and changing end-user needs, they have consistently found ways to solve problems and exceed expectations. By bringing together these legacy companies, the distinct scale and comprehensive portfolio of products will bring customers more materials and choices. With a combined legacy of resilience, Magnera will build personal partnerships that withstand an ever-changing world.

The IT Data Analyst Intern will work alongside the Information Technology Department to gainhands-on experience supporting data analysis and vendor management activities. The intern will work extensively in Excel to organize, analyze, and maintain data across multiple sources while leveraging SAP systems to access vendor and financial information. Throughout the program, the intern will gain exposure to procurement and financial processes, developing both technical skills and a strong understanding of how data supports business operations.


  • Assist with data analysis activities using Excel to support business needs
  • Perform data functions such as VLOOKUPs, data transposition, and consolidation across multiple files
  • Extract, organize, and analyze vendor-related data from SAP systems
  • Maintain accuracy and integrity of data while managing large datasets
  • Support procurement and financial data processes through reporting and analysis
  • Collaborate with team members to ensure timely completion of data-related tasks
  • Identify discrepancies in data and assist with data clean-up and validation efforts
  • Gain exposure to SAP processes, particularly within procurement and financial modules
  • Demonstrate strong attention to detail and efficiency in completing assigned tasks

  • Proficiency in Microsoft Excel, including functions such as VLOOKUP, data transposition, and working with large datasets
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to manage and organize data accurately and efficiently across multiple sources
  • Basic understanding of data analysis concepts and reporting
  • Strong organizational and time management skills with the ability to meet deadlines
  • Effective written and verbal communication skills
  • Ability to work independently as well as collaboratively in a team environment
  • Interest in learning SAP, particularly within procurement and financial processes
  • Rising Juniors or Seniors pursuing a degree in Computer Science, Business, Finance, Data Analytics, or a related field

What Magnera employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom