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Python Data Analyst Jobs in Tulsa, OK (NOW HIRING)

Minimum 3 years in an analytical role (e.g., operations analyst, data analyst, process engineer, reliability engineer). * Proficient in SQL and Python, including pandas, notebook environments, and ...

Minimum 3 years in an analytical role (e.g., operations analyst, data analyst, process engineer, reliability engineer). * Proficient in SQL and Python, including pandas, notebook environments, and ...

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Experience with Python and Spark/PySpark for large-scale data processing. * Exposure to generative AI technologies (e.g., Azure OpenAI, Copilot Studio, retrieval-augmented generation, AI agents)

Data and Analytics AI Engineer

Tulsa, OK

$104K - $125K/yr

Experience with Python and Spark/PySpark for large-scale data processing. * Exposure to generative AI technologies (e.g., Azure OpenAI, Copilot Studio, retrieval-augmented generation, AI agents)

Data Scientist

Tulsa, OK · On-site

$80K - $120K/yr

Experience must include: 1 year of experience using data visualization tools; 1 year of experience using SQL to extract, transform, and load data for analysis; 1 year of experience utilizing Python ...

... Python and C++ to develop and deploy AI models - Managing complex data analysis and confirming data quality and integrity within analytics frameworks - Encouraging creativity and innovation in ...

... Python for complex data analysis and modeling - Excelling in neural network design and reinforcement learning agents - Applying natural language processing techniques for text analytics - Leveraging ...

New

Digital Analyst Internships

Tulsa, OK · On-site

$86K - $102K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Tulsa, OK

$86K - $102K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Broken Arrow, OK · On-site

$83K - $98K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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 ...

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 ...

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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Showing results 1-20

Python Data Analyst information

See Tulsa, OK salary details

$31.1K

$75.5K

$124.2K

How much do python data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for python data analyst in Tulsa, OK is $75,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $88,600.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
Infographic showing various Python Data Analyst job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $75,481 per year, or $36.3 per hour.

Adjunct Faculty - Data Analytics

Tulsa Community College

Tulsa, OK • On-site

Part-time

Re-posted 25 days ago


Tulsa Community College rating

5.6

Company rating: 5.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

582nd of 616 rated colleges and universities


Job description

Location : Tulsa, OK
Job Type: Adjunct
Job Number: DATAANALYTICS-12-25
Department: Workforce Development
Opening Date: 12/16/2025
Work Schedule: Hours Vary
Campus: Varies
About TCC: Tulsa Community College is committed to creating positive work environments that support the success of the full range of our employees. We believe that employees who feel valued and respected will create policies, programs, practices, and services to effectively meet the needs and exceed the expectations of our students and employees. We are committed to hiring and retaining culturally competent faculty and staff at all levels of the organization who continue to deepen their skills and competencies to serve the full range of our community.
Job Summary
The TCC Skills Lab is seeking a qualified Adjunct Faculty in Data Analytics to support adult learners in developing in-demand analytical skills through applied instruction, real-world projects, and guided facilitation. This role emphasizes hands-on learning, practical application of data tools, and learner support aligned with workforce readiness outcomes. Adjunct faculty support both structured instructional sessions and open lab environments designed to help learners build confidence and job-ready skills.
Essential Duties
  • Lead instructional sessions covering foundational and intermediate data analytics concepts, including data cleaning, analysis, and visualization. Guide learners in the use of industry-standard tools such as spreadsheets, SQL, Tableau, Power BI, R, or Python, as applicable to the program
  • Facilitate open lab sessions by providing coaching, troubleshooting assistance, and individualized learner support
  • Foster an engaging learning environment that supports all adult learners.
  • Provide timely feedback, coaching, and progress support to learners.
  • Track learner participation and progress in alignment with program requirements.

Minimum Qualifications
  • Bachelor's degree in Data Analytics, Data Science, Statistics, Business, or a related field, or equivalent professional experience.
  • Two (2) or more years of professional experience as a Data Analyst, Business Intelligence Analyst, or in a similar role.
  • Working experience with SQL and at least one analytics or data visualization tool (e.g., R, Python, Tableau, Power BI)
  • Strong facilitation, communication, and learner support skills

Preferred Qualifications
  • Experience supporting workforce development, noncredit, or short-term credential programs

Click below to view a list of our Adjunct Benefits!

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