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Business Analyst Sql R Python Jobs in Tulsa, OK (NOW HIRING)

BOK Financial

CRES Sr Business Analyst

Tulsa, OK · On-site

$81K - $104K/yr

The Corporate Real Estate Sr. Business Analyst is a senior, decision-oriented role within Corporate ... SQL, Power BI, Alteryx, Excel, Copilot/AI required; Python and/or ESRI preferred. * Operating in ...

BOK Financial

CRES Sr Business Analyst

Tulsa, OK

$84K - $109K/yr

The Corporate Real Estate Sr. Business Analyst is a senior, decision-oriented role within Corporate ... SQL, Power BI, Alteryx, Excel, Copilot/AI required; Python and/or ESRI preferred. * Operating in ...

BOK Financial

CRES Sr Business Analyst

Tulsa, OK · On-site

$81K - $104K/yr

The Corporate Real Estate Sr. Business Analyst is a senior, decision-oriented role within Corporate ... SQL, Power BI, Alteryx, Excel, Copilot/AI required; Python and/or ESRI preferred. * Operating in ...

ONEOK, Inc

Commercial Business Analyst

Tulsa, OK

#WeAreONEOK - Fortune 500 company. 100+ years in business. Leading midstream service provider ... Experience with Power BI, Power Query, SQL, VBA, Python, or other analytical tools preferred ...

TDW

Business Systems Analyst II

Tulsa, OK · On-site

Position Summary The Business Systems Analyst II is a mid-level business systems role responsible ... Use SQL or reporting tools at a basic-to-intermediate level to research data issues, validate ...

Varsity Tutors

Business Analytics Tutor

Tulsa, OK · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

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Business Analyst Sql R Python information

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How much do business analyst sql r python jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for business analyst sql r python in Tulsa, OK is $43.32, according to ZipRecruiter salary data. Most workers in this role earn between $32.50 and $54.23 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
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Business Analyst Sql R Python jobs near you
Infographic showing various Business Analyst Sql R Python job openings in Tulsa, OK as of July 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 91% In-person, 6% Hybrid, and 3% Remote job distribution, with an average salary of $90,115 per year, or $43.3 per hour.

Adjunct Faculty - Data Analytics

Tulsa Community College

Tulsa, OK • On-site

Part-time

Re-posted 20 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

580th of 614 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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