1

Python Data Analysis Internship Jobs in Indiana (NOW HIRING)

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

Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R

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 ...

Sr Business Data Analyst

Whiteland, IN ยท On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

New

Senior Data Analyst

Goshen, IN ยท 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 ...

Data Analyst, Sr

Evansville, IN ยท On-site

$60K - $121K/yr

... detailed analysis to produce genuine business insights that will find and fuel strategic ... You will use various data query and visualization tools (SQL, Python, Power BI, SAS, etc.) to ...

... detailed analysis to produce genuine business insights that will find and fuel strategic ... You will use various data query and visualization tools (SQL, Python, Power BI, SAS, etc.) to ...

Data Analyst, Sr

Evansville, IN ยท On-site

$60K - $121K/yr

... detailed analysis to produce genuine business insights that will find and fuel strategic ... You will use various data query and visualization tools (SQL, Python, Power BI, SAS, etc.) to ...

Data Analytics Specialist

Crane, IN ยท On-site

$100K - $160K/yr

Write clean, efficient, and reusable Python code for data engineering and analytics tasks. * Analyze complex datasets to identify trends, patterns, and actionable engineering insights. * Implement ...

next page

Showing results 1-20

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:

Data Engineer - Databricks (No Sponsorship Available)

Heritage Construction + Materials

Indianapolis, IN โ€ข On-site

$109K - $131K/yr

Full-time

Posted 24 days ago


Job description

Build Your Career at Heritage Construction + Materials!
We are seeking a highly skilled Data Engineer to support the design, development, and implementation of our cloud data platform. This role is ideal for a Data Engineer who has experience in Databricks, cloud architecture, advanced data pipeline engineering, and building scalable, production-ready systems that support analytics, and enterprise-wide decision intelligence, with a potential to build and support AI/ML in the future.
In this role, you will architect cloud data solutions, optimize data operations, and guide the evolution of our modern data ecosystem. You will work closely with cross-functional partners, including finance and operations, to deliver high-impact, reliable, and efficient data products and strategic data initiatives.
This position requires U.S. work authorization
Essential Functions
  • 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.

Education Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field required

Experience Qualifications
  • 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)

Skills and Abilities
  • 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

About Heritage Construction + Materials
Heritage Construction + Materials (HC+M) is part of The Heritage Group, a privately held, family-owned business headquartered in Indianapolis. HC+M has core capabilities in infrastructure building. Its collection of companies provides innovative road construction and materials services across the Midwest. HC+M companies, including Asphalt Materials, Inc., Evergreen Roadworks, The Hoosier Company, Milestone Contractors and US Aggregates, proudly employ 3,000 people at 68 locations across seven states. Learn more at www.heritagebuilds.com.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#HeritageConstruction+Materials