ZipRecruiter

Log In

1

Python Analytics Jobs in Indianapolis, IN (NOW HIRING)

Dar Group

GIS Analyst

Indianapolis, IN · On-site

Bachelor's degree in GIS, Geography, Geospatial Science, Environmental Science, Data Analytics, or ... Experience using Python, ModelBuilder, SQL, or FME for GIS automation. * Experience building ...

Dar Group

GIS Analyst

Indianapolis, IN · Hybrid

Bachelor's degree in GIS, Geography, Geospatial Science, Environmental Science, Data Analytics, or ... Experience using Python, ModelBuilder, SQL, or FME for GIS automation. * Experience building ...

MYR Group

Telematics Analyst

Bargersville, IN

Experience with Power BI or similar data visualization tools experience using Python for data analysis or automation Basic knowledge of SQL or data querying * Experience in construction, utilities ...

New

MYR Group

Telematics Analyst

Bargersville, IN · On-site

Experience with Power BI or similar data visualization tools experience using Python for data analysis or automation Basic knowledge of SQL or data querying * Experience in construction, utilities ...

New

MYR Group

Telematics Analyst

Bargersville, IN · On-site

Experience with Power BI or similar data visualization tools experience using Python for data analysis or automation Basic knowledge of SQL or data querying * Experience in construction, utilities ...

next page

Showing results 1-20

All JobsPython Analytics JobsPython Analytics Jobs in Indianapolis, IN

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.
What are popular job titles related to Python Analytics jobs in Indianapolis, IN? For Python Analytics jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Indianapolis, IN look for? The top searched job categories for Python Analytics jobs in Indianapolis, IN are:
Python Analytics jobs near you

Senior Production Support Analyst

CMP.jobs

Indianapolis, IN • Remote

Contractor

Posted 23 days ago

Job description

Job Summary As a Senior Production Support Analyst, you will be responsible for supporting an internally developed annuity administration system/platform and will have the responsibility to monitor the system processing aligned with service level agreements. Working together with technical staff this will require a daily review and follow-up activities associated with nightly production processing. If there are errors in processing or issues with specific accounts, this position will be responsible for follow through to bring the issue to resolution. You will have the opportunity to work across the organization to engage subject matter expertise necessary to improve processing and resolve issues. This position reports to Director – Solutions Delivery on the Solutions Delivery Team. Main Accountabilities • Provide guidance and oversight for the staff supporting this position. • Monitor system processing and failures. • Analyze and resolve issues with production applications and policies. • Review and resolve issues with policies, working with Operations. • Propose improvements to system processing and procedures. • Organize and maintain procedural documentation. • Coordinate with Operations and IT to set priorities. • Communicate the status of issues, timelines, and resourcing needs or constraints. • Assist with QA when necessary. • Assist with Production validation. • Availability during core hours 7-5 during the work week, with flexibility. Qualifications • Minimum of 3-5 years of annuity experience preferably within IT or Operations • Familiar with Insurance and Annuity Industry applications e.g. DTCC, NIPR • Solid Problem Solving and Analytical skills • Self-starter with the ability to drive assignments. • Ability to influence and build relationships across the organization. • Ability to manage multiple assignments. • Strong communication skills • Solid analytical, problem solving and strategic thinking skills to understand technical and business processes and issues and anticipate the impact and opportunities across various projects. Technical Skills: Experience working with Microservices technology, Kubernetes, GraphQL, Python, PostgreSQL, Microsoft Suite, Smart payables, and JIRA. Employment Type: Contract to Hire Location: Remote Reports To: Production Support Manager

Apply