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Entrylevel Data Analyst Intern Jobs in Indiana (NOW HIRING)

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ... The internship emphasizes developing analytical, statistical, and problem-solving skills while ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Showing results 21-40

Entrylevel Data Analyst Intern information

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

AspectEntrylevel Data Analyst InternData Analyst
Required CredentialsTypically pursuing or recently completed a bachelor's degree in related fieldBachelor's degree often required; some roles prefer or require a master's
Work EnvironmentInternship setting, often part-time or temporary, in corporate or tech companiesFull-time, permanent position in various industries like finance, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level talent developmentUsed for ongoing data analysis, reporting, and decision support

The main difference between an Entrylevel Data Analyst Intern and a Data Analyst is the experience level and employment status. Interns are typically students gaining practical experience, often in a temporary or part-time role, while Data Analysts are full-time professionals responsible for ongoing data analysis tasks. Internships serve as a stepping stone into the data analysis career path, whereas Data Analysts are expected to have more hands-on experience and responsibility.

What job categories do people searching Entrylevel Data Analyst Intern jobs in Indiana look for?

The top searched job categories for Entrylevel Data Analyst Intern jobs in Indiana are:

What cities in Indiana are hiring for Entrylevel Data Analyst Intern jobs?

Cities in Indiana with the most Entrylevel Data Analyst Intern job openings:

Data Science Intern

Carmel, IN • On-site

Allied Solutions LLC
Finance and Insurance • 1 - 5K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

187th of 315 rated insurance


Job description

The Allied Solutions internship program is a robust and consistent internship program for rising Juniors and Seniors. The program will focus on learning and development as well as hands-on experience. The program will immerse the intern into a broad range of responsibilities, allowing you to execute projects within your area of professional interests.
Interested applicants must be available during the 12-week program (May 17th - Aug. 6th, 2027). This is a full-time internship (40-hours per week) based at our headquarters in Carmel, IN.
The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data, analytics, and AI to real business challenges. This role is designed for students interested in pursuing a career in Data Science and provides exposure to the full data lifecycle through structured rotations across Data Science, Data Engineering, Data Governance, and Data Analytics. The internship emphasizes developing analytical, statistical, and problem-solving skills while building an understanding of how enterprise data is collected, managed, governed, and transformed into actionable insights.
Job Duties and Responsibilities
  • Assist with exploratory data analysis to identify patterns, trends, and actionable business insights.

  • Support the development, testing, and evaluation of predictive models, machine learning solutions, and AI use cases.

  • Prepare, cleanse, and transform data for analytical and Data Science applications.

  • Create visualizations and presentations that communicate findings and recommendations to business stakeholders.

  • Conduct research on emerging AI, machine learning, and advanced analytics techniques.

  • Participate in a Data Engineering rotation focused on data pipelines, data integration, and modern data platform concepts (20%).

  • Participate in a Data Governance rotation focused on data quality, stewardship, metadata management, and trusted data practices (15%).

  • Participate in a Data Analytics rotation focused on reporting, dashboards, performance metrics, and business decision support (15%).

  • Collaborate with Data Intelligence team members across multiple disciplines to understand the end-to-end data lifecycle.

  • Present project outcomes and internship learnings to leadership and stakeholders.

  • Perform other projects and analyses as assigned.

Qualifications (Education, Experience, Certifications & KSA)
  • Currently enrolled in an undergraduate program as a rising Junior or Senior, pursuing a degree in Data Science, Analytics, Statistics, Computer Science, or a related field.

  • Foundational experience with Python, SQL, and data analysis concepts.

  • Understanding statistics, analytical methods, or machine learning concepts.

  • Proficiency in Microsoft Office, particularly Excel.

  • Strong problem-solving skills and attention to detail.

  • Curiosity about AI, machine learning, advanced analytics, and emerging technologies.

  • Interest in how organizations leverage data as a strategic asset.

  • Strong written and verbal communication skills.

  • Ability to manage multiple priorities and meet deadlines.

  • Eagerness to learn and adapt in a fast-paced environment.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
#LI-SJ1
#Li-Onsite
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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