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Python Analytics Jobs in Indianapolis, IN (NOW HIRING)

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 ...

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

New

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 ...

... Python or R for data consumption, aggregation, analysis, and model development Utilize Power BI to develop portfolio analytics and communicate with the line-of-business and operations partners ...

... 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 ...

Digital Analyst Internships

Indianapolis, IN · On-site

$86K - $102K/yr

... like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

... 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 ...

They are seeking a Software QA Analyst to ensure the quality of their agentic platform by testing ... Python or TypeScript preferred) • Comfortable with Git, HTTP/REST APIs, basic SQL, and Linux ...

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

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Python Analytics information

See Indianapolis, IN salary details

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$56

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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.
Data Analytics Analyst/Manager (US Citizen Only)

Data Analytics Analyst/Manager (US Citizen Only)

Salesforce, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago


Salesforce rating

8.0

Company rating: 8.0 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

104th of 209 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

You must hold a singular U.S. Citizenship and no dual-citizenship with any other countries:Must be a U.S. Citizen operating on U.S. Soil with ability to meet customer and government screening standards applicable to this role, including a Criminal Justice Information Services screening with fingerprint scan. Due to the citizenship requirement for this role, which supports U.S. federal, state, and/or local government customers, citizenship will be verified through two of the following REAL ID Act documents: U.S. Passport, Passport Card, REAL Driver's License, Global Entry Card, U.S. Government CAC/PIV

The Data Analytics Analyst/Manager for the Cloud Success Insights Team is a crucial role responsible for delivering data-driven actionable insights and strategic recommendations that empower Cloud Leaders to drive various programs within the Customer Success. This role will involve providing dedicated analytics support to a specific cloud team, and to do so, collaborating with different teams within CSG will be needed.
Should demonstrate versatility in tackling a diverse range of problem statements, encompassing in-depth analysis, strategic planning, forecasting, data visualization, and effective presentation, all while maintaining a proactive attitude towards embracing new challenges.
This is an individual contributor role, which has high visibility and delivers business impact. The role requires timely responses to questions raised by senior leaders. This sometimes requires a flexible working approach, working outside standard hours.
Must have

  • Degree or equivalent proven experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

  • A bachelors or Masters in Computer Science or related field with 8+ years (for Lead) experience, preferably in a data analytics team.

  • Data Preparation : Extensive experience in writing complex database queries in SQL.

  • Visualization : Expert in one or more popular viz tools (Tableau, Power BI etc)

  • Data Analysis and Interpretation : A curious mindset that enables to dive deep & fetch insights.

  • Storytelling : Excellent skill of preparing Exec level stories.

  • Presentation : Demonstrated experience of creating & presenting data/dashboards/analysis to the leadership team & ability to explain complex analytical concepts to executives.

  • Ability to quickly learn new tools within Analytics space.

  • An awesome team-player and someone who junior analysts can look up to.

  • Ownership : Assume responsibility for assigned projects from start to finish.

  • Stakeholder Management

Nice to have skills

  • Direct experience (2+ yrs) in data-engineering.

  • Tableau certification like desktop specialist/professional is a big plus.

  • Experience working with cloud data sources.

  • Hands-on experience in advanced analytics, including predictive modelling, machine learning using python/R.

  • Salesforce Product Certification

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $99,400 - $186,300 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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