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

Williams Companies

SCADA Analyst IV

Tulsa, OK · On-site

Develops and maintains production data solutions, including SQL Server databases, reporting ... Windows programming experience (Python, VBScript, Ladder Logic) * Preferred: Experience in database ...

The OSU/A&M System

Research Scientist GS9392

Tulsa, OK · On-site

Experience with quantitative data analysis (Python and/or R) * Experience working with research data or regulated datasets * Certifications, Registrations, and/or Licenses: * Skills, Proficiencies ...

Lantern

Strategy Analyst

Broken Arrow, OK · On-site

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Lantern

Strategy Analyst

Tulsa, OK · On-site

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

SmartLight Analytics

Senior Software Engineer

Bixby, OK · Remote

$125K - $165K/yr

Senior Software Engineer At SmartLight Analytics , your work helps tackle one of the biggest ... You'll work with modern tools-- React, Python/Django, SQL Server, Azure, and Kubernetes --and be ...

New

Aperia Technologies

Solutions Engineer, Remote

Tulsa, OK · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success. * Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.

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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
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:
What are popular job titles related to Python Data Analyst jobs in Tulsa, OK? For Python Data Analyst jobs in Tulsa, OK, the most frequently searched job titles are:
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:
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.
Managed Services - Data Engineer - Experienced Associate

Managed Services - Data Engineer - Experienced Associate

Pwc

Tulsa, OK • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Associate

Job Description & Summary

The Opportunity
As a Managed Services - Data Engineer - Experienced Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role at PwC, you will apply a learning mindset and take ownership of your development, appreciating diverse perspectives and adopting habits to sustain performance. You will actively listen, ask questions to check understanding, and clearly express ideas. You will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. This position offers a dynamic environment where every experience is an opportunity to learn and grow, allowing you to build a brand for yourself and open doors to more opportunities.
Responsibilities
- Developing and implementing data-driven solutions to optimize business performance and enhance competitive advantage (data engineering, ETL)
- Leveraging advanced analytics techniques to provide strategic insights and drive informed decision-making for clients (SQL optimization)
- Building and maintaining data pipelines to support efficient data collection and analysis (DataStage)
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards (DB2, SQL Server)
- Collaborating with team members to gather and analyze data from various sources to discern patterns and trends (star schemas, dimensions)
- Applying data architecture development skills to design and maintain robust database management systems (snowflake models)
- Engaging in continuous process improvement to enhance data quality and integrity
- Supporting client engagement by actively listening and responding to diverse perspectives and needs (regulated environments)
- Participating in the development of business cases and market development strategies through data analysis and interpretation
- Adapting to a fast-paced environment and taking ownership of tasks to consistently deliver quality work (job scheduling, UNIX)
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Python and Java programming languages
- Utilizing data visualization tools like QlikView and Spotfire
- Developing business intelligence solutions using Oracle BI
- Engaging in data architecture development and management
- Applying macroeconomic and microeconomic analysis skills
- Excelling in data analysis and interpretation techniques

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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