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

As a SCADA Analyst III, you will support andmaintainthe SCADA environment that provides real-time ... data integration, and operational reporting using tools such asJython, Python,QuickScript ...

As a SCADA Analyst III, you will support andmaintainthe SCADA environment that provides real-time ... data integration, and operational reporting using tools such asJython, Python,QuickScript ...

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 ...

As a SCADA Analyst III, you will support and maintain the SCADA environment that provides real-time ... automation, data integration, and operational reporting using tools such as Jython, Python ...

... Python and other modern automation tools. * Write and optimize SQL queries for validating data ... Perform root‑cause analysis to evaluate severity, scope, and validity of reported issues from ...

... Python and other modern automation tools. * Write and optimize SQL queries for validating data ... Perform root-cause analysis to evaluate severity, scope, and validity of reported issues from ...

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 ...

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 ...

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

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 ...

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 ...

Data Engineer

Tulsa, OK

$104K - $125K/yr

... analytics, cross-system integrations, and reliable organizational data operations. This role requires strong hands-on experience in Python-based data engineering, cloud data environments, relational ...

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

... analytics, cross-system integrations, and reliable organizational data operations. This role requires strong hands-on experience in Python-based data engineering, cloud data environments, relational ...

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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 Jul 16, 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
What are the most commonly searched types of Python Data Analyst jobs in Tulsa, OK? The most popular types of Python Data Analyst jobs in Tulsa, OK are:
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What job categories do people searching Python Data Analyst jobs in Tulsa, OK look for? The top searched job categories for Python Data Analyst jobs in Tulsa, OK are:
Infographic showing various Python Data Analyst job openings in Tulsa, OK as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $75,481 per year, or $36.3 per hour.
Adjunct Faculty - Data Analytics

Adjunct Faculty - Data Analytics

Tulsa Community College

Tulsa, OK • On-site

Part-time

Re-posted 3 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

528th of 555 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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