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

Data Engineer

Carmel, IN

$108K - $130K/yr

Bachelor's or Master's degree in computer science, data analytics, or a related field. * 3+ years of experience in data engineering or cloud ETL development. * Proficient in Python for data ...

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

Bachelor's or Master's degree in computer science, data analytics, or a related field. * 3+ years of experience in data engineering or cloud ETL development. * Proficient in Python for data ...

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

... Python and TensorFlow - Integrating data from various sources to create unified views for analysis - Building and maintaining data pipelines to support AI model deployment - Applying complex data ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python or PySpark for data transformation and automation. * Experience with data modeling and warehouse ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python or PySpark for data transformation and automation. * Experience with data modeling and warehouse ...

Azure Data Engineer

Indianapolis, IN

$109K - $131K/yr

Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python or PySpark for data transformation and automation. * Experience with data modeling and warehouse ...

We are building a modern Data & Analytics practice focused on developing proprietary data products ... Advanced SQL development and query optimization skills; proficiency in Python or PowerShell for ...

New

Strong expertise in data analysis tools and languages (e.g., Python, R, SQL). * Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch). * Excellent problem-solving skills ...

Strong expertise in data analysis tools and languages (e.g., Python, R, SQL). * Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch). * Excellent problem-solving skills ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

... data analysis tools and languages (e.g., Python, R, SQL). • Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch). • Excellent problem-solving skills and attention to ...

Showing results 41-60

Python Data Analysis information

See Indianapolis, IN salary details

$12

$56

$82

How much do python data analysis jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python data analysis in Indianapolis, IN is $56.03, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.65 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:

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.

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

Description

Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance, and broader Enterprise Data initiatives. We are seeking a skilled Data Engineer, along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures utilizing Python, Microsoft Fabric, Azure DevOps, Jira and more.


Our Data Engineer will be able to do the following confidently and independently...

  • Design, build, and optimize ETL/ELT pipelines utilizing Microsoft Fabric Notebooks (Python) and Fabric Pipelines.
  • Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to automate code deployments, testing, and release processes.
  • Maintain version control across code, pipeline definitions, SQL models, and integration scripts.
  • Build and maintain integrations (initially Salesforce) for syncing data between source systems and the enterprise data warehouse in Microsoft Fabric.
  • Architect and manage Lakehouse (Bronze/Silver/Gold) structures aligning with enterprise medallion best practices.
  • Develop scalable data models for investment reporting, portfolio analytics, and capital markets insights.
  • Ensure schema alignment, consistency, and auditability across all inbound data flows.
  • Implement ongoing monitoring, validation, and reconciliation to support trusted investment and risk reporting.
  • Maintain metadata, data dictionaries, and technical documentation in alignment with Enterprise data governance.

Requirements


What we are looking for...

  • Bachelor's or Master's degree in computer science, data analytics, or a related field.
  • 3+ years of experience in data engineering or cloud ETL development.
  • Proficient in Python for data engineering, automation, and integration tasks.
  • Experience designing and managing CI/CD pipelines (Azure DevOps, GitHub, or similar).
  • Experience with version control (preferably Git-based) from managing code, pipelines, and deployment artifacts.
  • Hands-on experience integrating systems (Bulk API, REST API, or connector-based ingestion).
  • Experience with data quality frameworks and data governance concepts.

Preferred Skills:

  • Experience working with investment, capital markets, or financial services data.
  • Familiarity with Git-based workflows, DevOps pipelines, or Fabric deployment processes.
  • Power BI and semantic model support experience.
  • Experience with cloud-based orchestration or event-driven patterns.

Our Benefits: Health, Vision, Dental, 401K, ESOP, 100% Tuition Assistance, 4 weeks paid time off, plus a few more 



About Merchants


Ranked as a top performing U.S. public bank by S&P Global Market Intelligence, Merchants Bancorp is a diversified bank holding company headquartered in Carmel, Indiana operating multiple segments, including Multi-family Mortgage Banking that offers multi-family housing and healthcare facility financing and servicing; Mortgage Warehousing that offers mortgage warehouse financing; and Banking that offers retail and correspondent residential mortgage banking, agricultural lending, and traditional community banking. Merchants Bancorp, with $18.8 billion in assets and $11.9 billion in deposits as of December 31, 2024, conducts its business primarily through its direct and indirect subsidiaries, Merchants Bank of Indiana, Merchants Capital Corp., Merchants Capital Investments, LLC, Merchants Capital Servicing, LLC, Merchants Asset Management, LLC, and Merchants Mortgage, a division of Merchants Bank of Indiana.

Merchants Bank and Merchants Capital have recently been honored with the 2025 USA Today Top Workplaces recognition, ranking 22nd nationally within the 500-999 employee category. This is the second year that Merchants has been recognized with this award. These accolades build on our strong history of workplace recognition, including being named a Best Place to Work in Indiana for seven consecutive years (2016-2022). For more information read the entire article here.