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

Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization tools like Tableau, Power BI, or Google Data Studio. Strong analytical and problem-solving ...

Proficiency in data analysis tools such as SQL, Python, R, or Excel. * Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio. * Strong analytical and problem-solving ...

Proficiency in data analysis tools such as SQL, Python, R, and Excel * Experience in machine learning, predictive modeling, or statistical analysis * Experience with NetSuite ERP, Power BI, Tableau ...

Proficiency in data analysis tools such as SQL, Python, R, and Excel * Experience in machine learning, predictive modeling, or statistical analysis * Experience with NetSuite ERP, Power BI, Tableau ...

Proficiency in data analysis tools such as SQL, Python, R, and Excel * Experience in machine learning, predictive modeling, or statistical analysis * Experience with NetSuite ERP, Power BI, Tableau ...

Required : • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. • Proficiency in data analysis tools such as SQL, Python, R, or Excel. • Experience ...

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 ...

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

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

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Sep 10, 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.

IN-IDOH-Data Analyst

Indianapolis, IN • On-site

Techmorgonite Software Solutions LLC
Recruiting and Staffing Services • 11 - 50 employees

Contractor

Re-posted 14 days ago


Job description

The incumbent will validate and analyze agency data to garner public health insight for specific agency divisions. The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization.
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.
JOB DUTIES
• Serves as project lead/subject matter expert for specific data sources, as assigned
• Reviews and provides feedback on the work products of other analysts
• Responsible for transferring raw data to the appropriate location for use in data analysis projects
• Wrangles, cleans, and validates agency data sources with minimal guidance
• Conducts general analysis of agency datasets; serves as project lead, as assigned.
• Contributes to complex analysis of agency datasets, as requested
• Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
• Oversee and review projects completed by associate analysts, as requested by senior analyst
• Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
• Collaborate with internal and external partners to develop novel ways of using and reporting out data.
• Provide technical assistance to program areas for the creation of reports and grant deliverables
REQUIREMENTS
• Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
• Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
• Effective time management and program management skills.
• Ability to work in a team environment with multiple and fluid demands.
• Ability to maintain effective and professional working relationships with internal and external customers.
• Ability to research and document findings. Required/Desired Skills   SkillRequired /DesiredAmountof ExperienceExperience analyzing data and reporting relevant results in a professional non-academic setting.Required1YearsAbility to use Microsoft Office Suite (Word, PowerPoint, Excel) independently in a professional settingRequired2YearsExperience using R or Python for data analysis and reporting.Required1YearsExperience using SQL to query a relational databaseRequired1YearsExperience using SAS for data analysis and reporting.Required1YearsExperience using Tableau for data visualizationHighly desired1YearsExperience using Azure Portal.Highly desired1YearsExperience using Microsoft DevOps.Highly desired1Years