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Data Analyst Github Jobs in Oklahoma (NOW HIRING)

Helmerich Payne

Manager, Data Engineering

Tulsa, OK

Design and maintain enterprise data lakes, lakehouse architectures, and cloud analytics platforms ... GitHub, Git, Azure DevOps * Power BI, Tableau, Cognos, OBIEE * Python, SQL, Spark Soft Skills

MSCI

Financial Data Engineer

Norman, OK

$93K - $121K/yr

... Analytics, ESG, Index, Private Asset, and Stand-Alone Data businesses. The global reference data ... Hands-on experience using AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or ...

MSCI

Financial Data Engineer

Norman, OK · On-site

$93K - $121K/yr

... Analytics, ESG, Index, Private Asset, and Stand-Alone Data businesses. The global reference data ... Hands-on experience using AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or ...

MSCI

Financial Data Engineer

Norman, OK · On-site

$93K - $121K/yr

... Analytics, ESG, Index, Private Asset, and Stand-Alone Data businesses. The global reference data ... Hands-on experience using AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or ...

BOK Financial

Digital Experience Analyst III

Tulsa, OK · On-site

$86K - $102K/yr

Use AI copilots/agents (GitHub Copilot, Microsoft Copilot) in day-to-day analysis and delivery. Experienced technical understanding of single application data flows across multiple applications ...

BOK Financial

Digital Experience Analyst III

Tulsa, OK

$90K - $106K/yr

... GitHub Copilot, Microsoft Copilot) in day-to-day analysis and delivery. • Experienced technical understanding of single application data flows across multiple applications, software integration ...

BOK Financial

Digital Experience Analyst III

Tulsa, OK · On-site

$86K - $102K/yr

... GitHub Copilot, Microsoft Copilot) in day-to-day analysis and delivery. • Experienced technical understanding of single application data flows across multiple applications, software integration ...

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All JobsData Analyst Github JobsData Analyst Github Jobs in Oklahoma

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 5, 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 are popular job titles related to Data Analyst Github jobs in Oklahoma? For Data Analyst Github jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Data Analyst Github jobs in Oklahoma look for? The top searched job categories for Data Analyst Github jobs in Oklahoma are:
What cities in Oklahoma are hiring for Data Analyst Github jobs? Cities in Oklahoma with the most Data Analyst Github job openings:
Data Analyst Github jobs near you

Data Engineer II

Loves Travel Stops & Country Store

Oklahoma City, OK • On-site

$106K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 795 frontline employees who took The Breakroom Quiz

394th of 730 rated retailers

Job description

Req ID: 488611
Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development *
Welcome to Love's: The Data Engineer II designs, builds, and supports scalable data solutions that advance Love's enterprise data and analytics capabilities. This role develops and optimizes data pipelines, data models, and integration frameworks that transform data into reliable, accessible, and actionable information.
The Data Engineer II partners with Technology teams, business stakeholders, data scientists, data analysts, vendors, and other data consumers to operationalize data and analytics solutions. The position also provides technical guidance on data architecture, promotes reusable design standards, and uses automation and AI-powered development tools to improve delivery speed, quality, and consistency.
MAJOR RESPONSIBILITIES
  • Design, build, maintain, and optimize data pipelines supporting data acquisition, ingestion, transformation, staging, modeling, and delivery.
  • Develop scalable data integration solutions using ETL/ELT, data replication, change data capture, messaging technologies, APIs, and other data movement methods.
  • Evaluate and qualify source data to support master, reference, and transactional data requirements.
  • Lead data assessment, mapping, migration, validation, enrichment, and loading activities.
  • Design reusable data models and solution architectures using established data engineering and modeling practices.
  • Provide architectural and technical input to ensure solutions align with enterprise data strategies, standards, and long-term platform objectives.
  • Build and support data solutions across data warehouse, data lake, data hub, and related data management environments.
  • Integrate large, complex, and heterogeneous datasets from internal and external sources.
  • Design solutions that are reliable, secure, scalable, maintainable, and focused on automation and operational efficiency.
  • Develop and maintain complex SQL queries, procedures, transformations, and data validation processes.
  • Apply DataOps and DevOps practices, including version control, automated builds, testing, deployment, monitoring, and release management.
  • Troubleshoot complex data quality, integration, performance, and production support issues.
  • Participate in front-end and back-end development activities when needed to deliver integrated, end-to-end data solutions.
  • Assess how architecture decisions affect solution design, development, testing, implementation, and ongoing support.
  • Collaborate with business and Technology partners to translate data requirements into effective technical solutions.
  • Use AI-powered development tools, such as GitHub Copilot, Claude Code, or similar technologies, to accelerate delivery, reduce defects, improve documentation, strengthen automation, and increase consistency throughout the DataOps lifecycle.
  • Research and recommend tools, technologies, and practices that improve data engineering capabilities and team productivity.
  • Provide technical guidance, knowledge sharing, and support to other team members.
  • Perform other job-related duties as assigned.

EXPERIENCE
  • Three or more years of progressively responsible experience in data engineering, data integration, data warehousing, or a related technical discipline required.
  • Experience designing, building, and supporting enterprise-level data pipelines and integration solutions required.
  • Experience working with large, complex, and heterogeneous datasets required.
  • Experience supporting data warehouse, data lake, data hub, or similar data management architectures required.
  • Experience working in cloud-based data platforms and modern data engineering environments required.

HARD SKILLS
  • Advanced knowledge of data engineering, data integration, and data warehousing principles.
  • Strong experience with cloud data warehouse platforms, preferably Snowflake.
  • Strong experience developing and optimizing complex SQL.
  • Strong experience with ETL and ELT tools and methodologies.
  • Strong experience with data modeling and reusable solution architecture practices.
  • Strong experience with Git or similar version-control tools.
  • Strong understanding of automated build, testing, deployment, and release-management practices.
  • Experience with data replication and change data capture tools, such as Fivetran or HVR.
  • Experience with messaging and data movement technologies, such as Azure Service Bus, Apache NiFi, or Apache Kafka.
  • Experience with APIs and API-based data acquisition and integration.
  • Knowledge of data governance, metadata management, data quality, and master data concepts.
  • Understanding of solution architecture and its impact on design, development, testing, deployment, and support.
  • Experience with dbt strongly preferred.
  • Experience with Python or R preferred.
  • Experience with Microsoft SQL Server preferred.
  • Experience with SAP HANA preferred.
  • Experience with Tableau or Power BI preferred.
  • Experience using AI-powered development and productivity tools preferred.

SOFT SKILLS
  • Ability to think strategically while managing detailed technical requirements.
  • Ability to work effectively through ambiguity and changing priorities.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to manage multiple competing priorities in a fast-paced environment.
  • Strong collaboration and relationship-management skills.
  • Ability to communicate technical information clearly to technical and nontechnical audiences.
  • Strong written and verbal communication skills.
  • Sound judgment and an appropriate sense of urgency.
  • Commitment to ethical conduct, regulatory compliance, customer service, data stewardship, and business integrity.
  • Demonstrated creativity, accountability, initiative, and attention to detail.

Education
  • High school diploma or equivalent required.
  • Bachelor's degree in Computer Science, Management Information Systems, Information Technology, Business, or a related field preferred.

WORK ENVIRONMENT
  • Local candidates in Oklahoma City and surrounding areas preferred.
  • Remote candidates will be considered; on-site presence at the Oklahoma City Corporate Offices is required as needed.
  • Prolonged sitting, some bending and stooping
  • Eye strain (screen use)
  • Manual dexterity sufficient to operate a computer keyboard and calculator
  • Occasional lifting of up to 25 pounds
  • Requires normal range of hearing and vision
  • Additional hours may be necessary.

Note: The items identified above are representative of those commonly associated with this position but are not exhaustive. Employees may encounter additional or unforeseen responsibilities in the course of their duties.
**This job description should not be construed to imply that these requirements are the exclusive standards of the position. All employees may be required to follow any other instructions, cross train in other positions and to perform other duties as required by workloads.**
Our Culture:
Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.
Love's is an Equal Opportunity Employer. Veterans encouraged to apply.

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