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Data Analyst Github Jobs in Oklahoma (NOW HIRING)

You will work on developing predictive models, conducting statistical analysis, and creating data ... using GitHub Actions - Implementing vector databases and orchestration tools like LangChain ...

You will work on developing predictive models, conducting statistical analysis, and creating data ... using GitHub Actions - Implementing vector databases and orchestration tools like LangChain ...

... monitoring, analytics, and data lakes across Cisco. We'rea small, expert team that owns this ... Experience implementing CI/CD pipelines (GitLab or GitHub) and deploying applications using ...

Software Engineer, Backend

Tulsa, OK · On-site

$155K - $222K/yr

... monitoring, analytics, and data lakes across Cisco. We'rea small, expert team that owns this ... Experience implementing CI/CD pipelines (GitLab or GitHub) and deploying applications using ...

Software Engineer, Backend

Howe, OK · On-site

$155K - $222K/yr

... monitoring, analytics, and data lakes across Cisco. We'rea small, expert team that owns this ... Experience implementing CI/CD pipelines (GitLab or GitHub) and deploying applications using ...

Senior Software Engineer, Backend

Tulsa, OK · On-site +1

$165K - $241K/yr

... data-driven decisions. In this role you can expect to: * Design, build, ship, analyze ... Experience implementing CI/CD pipelines (GitLab or GitHub) and deploying applications using ...

Senior Software Engineer, Backend

Howe, OK · On-site +1

$165K - $241K/yr

... data-driven decisions. In this role you can expect to: * Design, build, ship, analyze ... Experience implementing CI/CD pipelines (GitLab or GitHub) and deploying applications using ...

Showing results 21-40

Data Analyst Github information

See Oklahoma salary details

$31.4K

$76.3K

$125.6K

How much do data analyst github jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data analyst github in Oklahoma is $76,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,600.00 per year, depending on experience, location, and employer.

How does a data analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a data analyst at GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What is a data analyst at GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

Is GitHub good for data analysts?

GitHub is a valuable tool for data analysts as it facilitates version control, collaboration, and sharing of data projects and code. Many data analysts use GitHub to showcase their work, collaborate with teams, and manage project documentation, often integrating it with tools like Jupyter notebooks and data visualization libraries.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What cities in Oklahoma are hiring for Data Analyst Github jobs? Cities in Oklahoma with the most Data Analyst Github job openings:

CTIO AI Engineering Manager

Pwc

Oklahoma City, OK

$73K - $244K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will manage client relationships and confirm project deliverables meet expectations. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while upholding remarkable standards of quality and innovation in deliverables.
Responsibilities
- Work with cross-functional teams to incorporate AI into various applications
- Drive initiatives that enhance project outcomes through creative strategies
- Identify and utilize opportunities for advancements in technology
- Inspire and motivate team members to excel in their contributions
- Uphold exceptional standards of quality and innovation in deliverables
- Foster an environment that encourages continuous improvement and learning
What You Must Have
- Bachelor's Degree
- 5 years of experience in AI engineering or related field
What Sets You Apart
- Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred
- Designing, training, and deploying machine learning models
- Developing scalable, cloud-native microservices using Docker and Kubernetes
- Building end-to-end AI applications integrated into various platforms
- Managing CI/CD pipelines for AI systems using GitHub Actions
- Implementing vector databases and orchestration tools like LangChain
- Translating complex business problems into software-engineered AI solutions
- Deploying on cloud platforms like AWS, GCP, Azure
- Contributing to open-source projects or AI/ML publication

Travel Requirements

Not Specified

Job Posting End Date

The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. 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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