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

... withproficiencyin data analysis tools such as Excel, SQL, Python, &Power BI/Tableau * Excellent communication skills, with the ability to present findings clearly to both technical ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Pricing Analyst

Tulsa, OK · On-site

$70K - $75K/yr

Experience with SQL, Python, or Power BI/Tableau * Ability to interpret complex data sets * Clear ... Background in statistical analysis Perks & Benefits: * This opportunity includes a comprehensive ...

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 ...

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 ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for python data analysis in Tulsa, OK is $50.82, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $57.74 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Tulsa, OK? The most popular types of Python Data Analysis jobs in Tulsa, OK are:
What are popular job titles related to Python Data Analysis jobs in Tulsa, OK? For Python Data Analysis jobs in Tulsa, OK, the most frequently searched job titles are:
Infographic showing various Python Data Analysis job openings in Tulsa, OK as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,712 per year, or $50.8 per hour.

Pricing Analyst I

AAON, Inc.

Tulsa, OK • On-site

Full-time

Re-posted 5 days ago


AAON rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

174th of 487 rated machine equipment manufacturers


Job description

Job Description:

The Pricing Analyst role plays a critical part in ensuring our products are competitively and strategically priced across markets.You'llanalyze data, evaluate cost structures, support pricing strategy development, and collaborate withcrossfunctionalteams to drive profitability and market success.

Primary duties may include, but are not limited to:

  • Develop andmaintainpricing modelsthat incorporate cost data, market trends, competitive intelligence, and margin targets.

  • Analyze product costs, including materials, labor, freight, and overhead, to ensure pricing accuracy and alignment with financial goals.

  • Monitor market conditions, competitor pricing, and customer behavior toidentifypricing opportunities or risks.

  • Support pricing strategy initiatives, including new product introductions, product line adjustments, and promotional pricing.

  • Prepare pricing reports and dashboardsfor leadership, highlighting trends, variances, and recommendations.

  • Evaluatepricing performance by product line, region, and customer segment.

  • Collaborate with Sales, Product Management, Finance,Engineering,andECAT Teamsto ensure pricing decisions are informed, consistent, and aligned with businessobjectives.

  • Partner with ECAT and ERP system teamsto ensure pricing logic, product rules, and pricing outputs areaccurateand aligned across platforms.

  • Maintain pricing databases and tools, ensuring data integrity andtimelyupdates.

  • Assistin quote reviews, providing analysis and guidance onnonstandardpricing requests.

  • Identifyprocess improvementsto enhance pricing efficiency, accuracy, and responsiveness.

Job Requirements

Education and Experience Requirements:

Requiresa bachelor's degree in finance, Economics, Business, Accounting, Mathematics, ora relatedfield.

Knowledge, Skills, and Abilities:

Required

  • Strong analytical skills with the ability to interpret complex data sets.

  • Strong analytical and quantitative skills withproficiencyin data analysis tools such asExcel, SQL, Python, &Power BI/Tableau

  • Excellent communication skills, with the ability to present findings clearly to both technical andnontechnicalaudiences.

  • High attention to detail and strong organizational skills.

Preferred

  • Experience inmanufacturing,HVAC, or otherengineeredtoorderindustries.

  • Familiarity withERP systems(e.g., SAP, Microsoft Dynamics).

  • Knowledge of cost accounting principles.

  • Experience with statistical analysis or pricing optimization tools.

Key Competencies

  • Datadrivendecisionmaking

  • Business acumen

  • Crossfunctionalcollaboration

  • Problemsolving and critical thinking

  • Adaptability in afastpacedenvironment

Essential Mental and Physical Functions:

This role requires critical thinking, strategic planning, and the ability to manage multiple projects simultaneously. The Product Manager must be comfortable making decisions with incomplete information and adapting to changing priorities.

Physical Requirements:

  • Ability to sit or stand for extended periods in an office or manufacturing environment.

  • Occasional travel to customer sites, trade shows, or manufacturing facilities.

  • Use of standard office equipment and occasional exposure to production floor conditions.

Work Environment:

Work is primarily performed in an office setting with regular interaction with engineering labs and manufacturing areas. The role involves frequent collaboration with internal teams and external stakeholders. Occasional travel may be required to support product launches, customer visits, or industry events.

Disclaimer:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. This job description is not an exhaustive list of all functions that the employee may be required to perform, and the employee may be required to perform additional functions. The company reserves the right to revise this job description at any time. The employee must be able to perform the essential functions of the position satisfactorily. If requested, reasonable accommodations may be made to enable employees with disabilities to perform the essential functions of the job, absent undue hardship.


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