1

Python Data Analysis Jobs in Indianapolis, IN (NOW HIRING)

Foundational experience with Python, SQL, and data analysis concepts. * Understanding statistics, analytical methods, or machine learning concepts. * Proficiency in Microsoft Office, particularly ...

Foundational experience with Python, SQL, and data analysis concepts. * Understanding statistics, analytical methods, or machine learning concepts. * Proficiency in Microsoft Office, particularly ...

Applies appropriate programming languages such as Python, Java. * Develops decision support tools ... Provides experienced analysis of existing data and data structures and satisfies ad-hoc reporting ...

... Python scripting for data work including API calls, data preparation, and analysis preferred. • Exposure to Azure Data Lake Storage, Azure SQL Database, and/or Databricks is a plus. • Ability to ...

... Python scripting for data work including API calls, data preparation, and analysis preferred. • Exposure to Azure Data Lake Storage, Azure SQL Database, and/or Databricks is a plus. • Ability to ...

Python Developer Engineer

Indianapolis, IN · On-site

$48 - $66.25/hr

... and data analysis. About you: You're driven, love achieving results, feel comfortable juggling ... Author and maintain well-documented Python scripts, libraries, and applications to address various ...

Python Developer Engineer II

Indianapolis, IN · On-site

$48 - $66.25/hr

... and data analysis. About you: You're driven, love achieving results, feel comfortable juggling ... Author and maintain well-documented Python scripts, libraries, and applications to address various ...

Showing results 21-40

Python Data Analysis information

See Indianapolis, IN salary details

$11

$51

$75

How much do python data analysis jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python data analysis in Indianapolis, IN is $51.41, according to ZipRecruiter salary data. Most workers in this role earn between $42.36 and $58.41 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the most commonly searched types of Python Data Analysis jobs in Indianapolis, IN?

The most popular types of Python Data Analysis jobs in Indianapolis, IN are:

What are popular job titles related to Python Data Analysis jobs in Indianapolis, IN?

For Python Data Analysis jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Python Data Analysis jobs in Indianapolis, IN look for?

The top searched job categories for Python Data Analysis jobs in Indianapolis, IN are:

Infographic showing various Python Data Analysis job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,551 per year, or $56 per hour.

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 10 days ago


Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


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.

To view our privacy statement click here

To view our terms and conditions click here


What Allied Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom