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Python Data Analysis Internship Jobs in Indiana (NOW HIRING)

Danaher

Digital Analyst Internships

Gary, IN

$98K - $115K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

campus4tech

Data Analyst

Indianapolis, IN · On-site

In addition, this role will assist with curation and analysis of various other datasets and assist ... Python, including data cleaning, running descriptive statistics and full analyses. • Working ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

The role will include exploratory data analysis, reporting, descriptive statistics, dataset ... Python, including data cleaning, running descriptive statistics and full analyses. • Working ...

MetaPhase Consulting

Data Analyst

Indianapolis, IN

Data Analysis & Reporting * Collect, analyze, validate, and interpret structured and unstructured ... Experience with SharePoint, Power Automate, Python, or similar automation/reporting tools Work ...

Interra Credit Union

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk ... Python or R to support data preparation, automation, and predictive modeling. - Strong ...

Interra Credit Union

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk ... Python or R to support data preparation, automation, and predictive modeling. - Strong ...

Purdue University

Data Analyst

West Lafayette, IN · On-site

... analysis: * P2: 2+years (a full-time internship may count toward experience) * P3: 4+years * P4: 6 ... Python, Excel, and PowerPoint * Experience supporting higher education data, analytics, or ...

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All JobsPython Data Analysis JobsPython Data Analysis Internship JobsPython Data Analysis Internship Jobs in Indiana

Python Data Analysis Internship information

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

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

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What are the most commonly searched types of Python Data Analysis jobs in Indiana? The most popular types of Python Data Analysis jobs in Indiana are:
What are popular job titles related to Python Data Analysis Internship jobs in Indiana? For Python Data Analysis Internship jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Indiana look for? The top searched job categories for Python Data Analysis Internship jobs in Indiana are:
What cities in Indiana are hiring for Python Data Analysis Internship jobs? Cities in Indiana with the most Python Data Analysis Internship job openings:
Python Data Analysis Internship jobs near you

Data Engineer - Databricks (No Sponsorship Available)

Heritage Construction + Materials

Indianapolis, IN • On-site

$100K - $120K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
Heritage Construction + Materials is a family-owned business focused on infrastructure building and road construction services. They are seeking a highly skilled Data Engineer to design, develop, and implement their cloud data platform, optimizing data operations and supporting analytics initiatives.
Responsibilities:
• Design, implement, and maintain scalable data pipelines within a cloud data platform (Azure preferred)
• Build, optimize, and manage Databricks clusters, ensuring performance, cost efficiency, and reliable job execution
• Develop and maintain Delta Lake tables, pipelines, and storage patterns to ensure data quality, versioning, and performance
• Integrate Databricks with Azure services such as Azure Data Factory, ADLS, and Azure DevOps
• Support the implementation of a new cloud-based data warehouse, defining architecture, governance, and standards
• Build and automate CI/CD pipelines for data workflows using Azure DevOps
• Design and implement monitoring solutions using Databricks monitoring tools, Azure Log Analytics, or custom dashboards
• Collaborate with business and technical stakeholders to identify high‑value data engineering and analytics opportunities and contribute to data governance initiatives
• Apply modern data engineering best practices to support advanced use cases involving NLP, predictive analytics, and automation
• Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company’s core values, competencies, and skills.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field required
• 3+ years of experience in data engineering or cloud data architecture
• Expertise in Databricks or Snowflake Cloud Data Platforms
• Expertise with programming languages such as Python and/or SQL
• Experience with Python Data Science Libraries (PySpark, Pandas, etc.)
• Experience with Test Drive Development (TDD)
• Automated CI/CD Pipelines
• Linux / Bash / Docker
• Database Schema Design and Optimization
• Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
• Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines)
• Strong analytical and problem-solving skills
• Experience with programming languages such as Python, Java, R, or SQL
• Experience with Databricks or Snowflake Cloud Data Platforms
• Knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau
• Proficient in Microsoft Office
Preferred:
• Experience with Azure services such as Azure Data Factory, ADLS, and Azure DevOps
• Experience with Databricks monitoring tools, Azure Log Analytics, or custom dashboards
• Apply modern data engineering best practices to support advanced use cases involving NLP, predictive analytics, and automation
Company:
Heritage Construction + Materials is part of a family business committed to providing our customers with innovative solutions. Founded in , the company is headquartered in Indianapolis, Indiana, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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