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Freelance Python Data Analyst Jobs in Oklahoma (NOW HIRING)

Tulsa Community Foundation

Data Engineer

Tulsa, OK · On-site

$104.50K - $125.50K/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 ...

The Intersect Group

Data Engineer II

Tulsa, OK

$99.30K - $119.20K/yr

Analyze and profile data from diverse sources to determine integration requirements and data quality considerations. * Build and maintain data transformation logic using T?SQL, Python, and PySpark ...

InTulsa Initiative LLC

Data Engineer

Tulsa, OK · On-site

$104.50K - $125.50K/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 ...

Tulsa For You - Integrated Strategies

Data Engineer

Tulsa, OK · On-site

$104.50K - $125.50K/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 ...

Life.Church

Senior Data Scientist

Edmond, OK · On-site

Proficiency in Python or R for data analysis, modeling, and machine learning. * Familiarity with data visualization tools like Google Data Studio, Tableau, or Looker to create dashboards and reports.

YouVersion

Senior Data Scientist

Edmond, OK · On-site

... analysis • Proficiency in Python or R for data analysis, modeling, and machine learning • Familiarity with data visualization tools like Google Data Studio, Tableau, or Looker to create ...

Life.Church

Senior Data Scientist

Edmond, OK

Proficiency in Python or R for data analysis, modeling, and machine learning. * Familiarity with data visualization tools like Google Data Studio, Tableau, or Looker to create dashboards and reports.

Truity Credit Union

Data & AI Engineer

Bartlesville, OK

$98.30K - $118K/yr

... Python, Node.js and SQL . You'll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models ...

Truity Credit Union

Data & AI Engineer

Bartlesville, OK · On-site

$98.30K - $118K/yr

... Python, Node.js and SQL . You'll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96.80K - $131.50K/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 ...

STRIDE BANK NA

Business Solutions Analyst II

Tulsa, OK

$61.40K - $77.60K/yr

Experience with Python, especially for automation, data transformation, and process optimization ... Analytical mindset with a focus on optimizing applications, reports, data management, and workflows.

BOK Financial

FP&A Analyst III

Tulsa, OK

Experience with or exposure to data and analytics tools such as SQL, Power BI, Python, R, or Alteryx is highly desirable * Understanding of financial statements, banking concepts, and profitability ...

BOK Financial

FP&A Analyst III

Tulsa, OK

Experience with or exposure to data and analytics tools such as SQL, Power BI, Python, R, or Alteryx is highly desirable * Understanding of financial statements, banking concepts, and profitability ...

BOK Financial

FP&A Analyst III

Tulsa, OK · On-site

Experience with or exposure to data and analytics tools such as SQL, Power BI, Python, R, or Alteryx is highly desirable * Understanding of financial statements, banking concepts, and profitability ...

SynergisticIT

Junior PL/SQL Developer

Tulsa, OK

$58.10K - $75.40K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

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Freelance Python Data Analyst information

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

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

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

What are popular job titles related to Freelance Python Data Analyst jobs in Oklahoma? For Freelance Python Data Analyst jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Oklahoma look for? The top searched job categories for Freelance Python Data Analyst jobs in Oklahoma are:
Freelance Python Data Analyst jobs near you

Data Engineer

Tulsa Community Foundation

Tulsa, OK • On-site

$104.50K - $125.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 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.

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