1

Python Analytics Jobs in Indianapolis, IN (NOW HIRING)

SynergisticIT is looking for candidates interested in Java, Spring Boot, full-stack development, APIs, SQL, Git, DevOps basics, Python, data analytics, data science, and ML/AI tracks. This ...

Marketing Analytics Manager

Carmel, IN · On-site

$100K - $120K/yr

We are seeking a Marketing Analytics Manager to unify the fragmented view of marketing performance ... Hands-on experience with Snowflake, Domo, AWS, dbt, Python, and advanced SQL. * Expert ...

Marketing Analytics Manager

Carmel, IN · On-site +1

$100K - $120K/yr

We are seeking a Marketing Analytics Manager to unify the fragmented view of marketing performance ... Hands-on experience with Snowflake, Domo, AWS, dbt, Python, and advanced SQL. * Expert ...

You will work with tools including Power BI, Snowflake, Python, APIs, and AI-driven analytics solutions to build scalable reporting and insights capabilities. This is a hybrid position based in our ...

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • Advanced proficiency in Python for data manipulation and analytics engineering ...

... Python for data manipulation, transformation, or analytics enablement. • 2+ years of experience working with BI tools (e.g., Power BI), including enabling curated datasets, semantic models, or ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

next page

Showing results 1-20

Python Analytics information

See Indianapolis, IN salary details

$12

$56

$82

How much do python analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python analytics 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 are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
Python Lead Consultant

Python Lead Consultant

Gurus Infotech, Inc.

Indianapolis, IN • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Position: Python Lead Consultant

Location: Indianapolis, Indiana

Duration: 03 Months+

Job Description:
Python
Machine learning
Detailed Job Description
Good in Python development and analytical skills. Good in communication and key member of prism program. Serve as a key member of the Digital Technology team participating in the Prism Program. Lead the Python team in analyzing and development the python scripts