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

Tulsa Community Foundation

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 ...

Inceed

Pricing Analyst

Tulsa, OK · On-site

$70K - $75K/yr

Position: Pricing Analyst Compensation: $70,000 - $75,000 annually, depending on experience ... Experience with SQL, Python, or Power BI/Tableau * Ability to interpret complex data sets * Clear ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Strong proficiency in SQL and Python. * Experience with at least one major BI/visualization ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

CCT

Data Scientist

Tulsa, OK

Strong Python programming skills and proficiency in SQL for data extraction and analysis * Strong foundation in statistics and experimentation: hypothesis testing, probability distributions ...

CCT

Data Scientist

Tulsa, OK · On-site

Strong Python programming skills and proficiency in SQL for data extraction and analysis * Strong foundation in statistics and experimentation: hypothesis testing, probability distributions ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

Strong proficiency in SQL and Python. * Experience with at least one major BI/visualization ... About SmartLight AnalyticsSmartLight Analytics was formed by a group of industry insiders who ...

AAON, Inc.

Pricing Analyst I

Tulsa, OK · On-site

Strong analytical and quantitative skills with proficiency in data analysis tools such as Excel, SQL, Python, & Power BI/Tableau * Excellent communication skills, with the ability to present findings ...

AAON, Inc.

Pricing Analyst I

Tulsa, OK · On-site

Strong analytical and quantitative skills withproficiencyin data analysis tools such as Excel, SQL, Python, &Power BI/Tableau * Excellent communication skills, with the ability to present findings ...

Varsity Tutors

Data Science Tutor

Tulsa, OK · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

BOK Financial

CRES Sr Business Analyst

Tulsa, OK

$84K - $109K/yr

Additionally, this role executes analysis, develops datasets, and advances data capabilities to ... Python and/or ESRI preferred. * Operating in ambiguity: Comfortable building structure where none ...

BOK Financial

CRES Sr Business Analyst

Tulsa, OK · On-site

$81K - $104K/yr

Additionally, this role executes analysis, develops datasets, and advances data capabilities to ... Python and/or ESRI preferred. * Operating in ambiguity: Comfortable building structure where none ...

BOK Financial

CRES Sr Business Analyst

Tulsa, OK

$81K - $104K/yr

Additionally, this role executes analysis, develops datasets, and advances data capabilities to ... Python and/or ESRI preferred. * Operating in ambiguity: Comfortable building structure where none ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Tulsa, OK

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.
More about Python Data Analyst jobs
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Python Data Analyst jobs near you
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.

Data Engineer

Tulsa Community Foundation

Tulsa, OK • On-site

$104K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

ABOUT THE ORGANIZATION
Tulsa For You and Me is a portfolio of talent and economic development programs working to strengthen Tulsa's long-term economic vitality, expand access to opportunity, and build a more vibrant and inclusive city. Operated under the stewardship of the George Kaiser Family Foundation® (GKFF®), affiliated programs include nationally recognized organizations such as Tulsa Remote, LLC, Tulsa Innovation Labs, LLC, Build In Tulsa, LLC, Experience Tulsa, Atlas School, LLC, Campus Tulsa program, Tulsa Service Year program, and others.
Integrated Strategies is Tulsa For You's centralized data, systems, and analytics team, helping programs operate more effectively, make better decisions, and scale with stronger internal infrastructure. The team's work spans Data & Systems, CRM Platform Solutions, and Analytics-building the data environments, technical solutions, and analytical insight needed to support cross-program execution.
ABOUT THE ROLE
In this position, you will serve as a key technical contributor within Tulsa For You's Data & Systems environment, helping build and maintain the backend infrastructure that powers reporting, 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 databases, and backend systems integration. You will support the full lifecycle of organizational data movement-from ingestion and transformation through warehouse optimization, monitoring, troubleshooting, and long-term systems improvement-ensuring analysts and program teams have reliable, well-structured, and trustworthy data to support decision-making.
Success in this role requires high initiative, strong resourcefulness, and comfort operating in an environment where not every solution is predefined. The ideal candidate is someone who enjoys digging into unfamiliar technical problems, researching viable paths forward, and collaborating with others to build practical solutions in a dynamic setting.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
Data Engineering & Systems Management
  • Build, maintain, and continuously improve scalable data pipelines, integrations, and warehouse workloads that support reliable and efficient data operations across the organization.
  • Design and implement backend integrations for new and existing data sources-including APIs, databases, file-based feeds, cloud platforms, and third-party systems-to ensure accurate and dependable data movement.
  • Develop, test, deploy, and support reusable data workflows, transformation jobs, warehouse objects, scripts, and related engineering components.
  • Monitor pipeline, integration, and warehouse performance; proactively troubleshoot failures, optimize system reliability, and resolve data processing issues.
  • Establish and maintain logging, alerting, automated monitoring, and data quality controls that strengthen visibility, issue detection, and long-term operational stability.
  • Support secure data handling, system access controls, and governance practices to ensure organizational data is managed responsibly and in accordance with internal standards.

Systems Improvement & Technical Collaboration
  • Strengthen backend data architecture, engineering standards, and technical workflows to improve maintainability, scalability, and delivery speed.
  • Evaluate and apply modern tools, technologies, and engineering practices that improve the resilience and effectiveness of the overall data environment.
  • Create and maintain technical documentation across pipelines, integrations, warehouse models, and backend workflows to support team continuity and long-term sustainability.
  • Partner closely with analysts, technical teammates, vendors, and internal stakeholders to ensure backend data systems reliably support reporting, analytics, and operational decision-making.
  • Other duties as assigned.

Requirements
Education & Experience:
  • 4+ years of professional experience in data engineering, cloud data infrastructure, backend integrations, or related technical roles supporting enterprise data environments.
  • 3+ years of hands-on experience developing and maintaining production-grade data pipelines, transformations, and backend workflows using Python.
  • Demonstrated experience building or supporting API-based integrations and automated cloud data workflows across multiple systems.
  • Experience working within version-controlled development environments and applying collaborative software engineering practices.

Skills & Abilities:
  • Strong capability designing and building reliable, scalable data pipelines and backend data workflows in cloud-based environments.
  • Strong command of SQL, relational databases, and data modeling concepts, with the ability to structure and optimize data for downstream use.
  • Proven ability to integrate and manage data across multiple systems, including APIs, databases, cloud services, and third-party platforms.
  • Strong understanding of modern software engineering and deployment practices, including version control, testing, code review, and release workflows.
  • Strong working knowledge of cloud environments and the core services that support data systems, including storage, compute, orchestration, monitoring, and security.
  • Strong troubleshooting and problem-solving ability, with a focus on diagnosing failures, improving system reliability, and maintaining data integrity.
  • Ability to operate effectively in evolving technical environments, bringing structure, sound judgment, and continuous improvement to systems and processes.
  • Ability to work independently and collaboratively with technical teammates, vendors, analysts, and internal stakeholders.
  • Strong written and verbal communication skills, including the ability to document systems clearly and explain technical concepts to technical and non-technical audiences.

Preferred Qualifications:
  • Experience designing and supporting cloud-based data solutions within GCP and Azure strongly preferred
  • Exposure to Infrastructure as Code (IaC), deployment automation, or related practices used to manage cloud-based technical environments..
  • Experience working in Agile, sprint-based technical environments and using workflow management tools such as Jira and/or JSM.

Physical Requirements:
  • Position requires prolonged periods of sitting and working at a computer, including regular use of a keyboard and other standard office equipment.
  • Position requires the ability to read, analyze, and visually review technical information and digital systems for extended periods of time.
  • Position requires limited travel, predominantly for professional development and relevant organizational needs.

Hours & Location:
  • You must live in or be able to relocate to Tulsa, OK or the surrounding area.
  • This is a hybrid position within an in-office leaning, highly collaborative work environment. Team members are generally expected to work onsite a minimum of three days per week, with additional hybrid flexibility available based on business needs, work demands, and supervisor approval.
  • This is a full-time position with an expectation of working 40 hours per week.
  • The typical hours of operation are Monday through Friday, 8:00 a.m. to 5:00 p.m. with flexibility required for various events, meetings, and relevant business needs.

Benefits:
As part of our overall compensation package, we offer work/life flexibility, comprehensive health benefits, paid time off, and generous retirement contributions designed to support you and your family.
  • 100% employer paid medical, dental, and long-term disability for full-time employees only. Option to add vision and dependents.
  • 401(k) employee and employer contributions.
  • Paid time off to support you while you are out of the office.
  • Paid holidays so our employees can spend time with those they care about.
  • Employer-paid AD&D life insurance, with employee option to add supplemental life insurance.

Apply