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Data Analyst Github Jobs in Grapevine, TX (NOW HIRING)

Programmers.io

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Write and optimize SQL queries for analytics. * Support CI/CD processes and cloud infrastructure ... SQL, Python. * PySpark * Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub). * Data ...

AArete

Data Scientist

Dallas, TX · On-site

Description Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're ... such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics ...

Visual Edge IT

Senior Data Engineer

Dallas, TX · On-site

$122K - $140K/yr

Productionize analytics data products end-to-end-from raw data through modeled layers to consumable ... GitHub Copilot) as a core part of how you build, with the ability to explain how you direct, review ...

Kimley-Horn

Data Engineer

Dallas, TX

$110K - $132K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Kimley-Horn

Data Engineer

Dallas, TX

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$110K - $132K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Kimley-Horn

Data Engineer

Dallas, TX

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Visual Edge IT

Senior Data Engineer

Plano, TX

$122K - $140K/yr

Analytics team with direct executive sponsorship. We're in the middle of a company-wide data ... GitHub Copilot) as a core part of how you build, with the ability to explain how you direct, review ...

Ruri Software Technologies LLC

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Experience or knowledge of software engineering tools/practices: i.e., Github,VSCode, CI/CD * Hands ... You possess strong organizational and analytical skills related to working withstructured and ...

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Showing results 21-40

All JobsData Analyst Github JobsData Analyst Github Jobs in Grapevine, TX

Data Analyst Github information

See Grapevine, TX salary details

$31.4K

$76.3K

$125.6K

How much do data analyst github jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data analyst github in Grapevine, TX is $76,350.00, 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 Grapevine, TX? For Data Analyst Github jobs in Grapevine, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst Github jobs in Grapevine, TX look for? The top searched job categories for Data Analyst Github jobs in Grapevine, TX are:
What cities near Grapevine, TX are hiring for Data Analyst Github jobs? Cities near Grapevine, TX with the most Data Analyst Github job openings:
Data Analyst Github jobs near you

Data Scientist 1

PROLIM Global Corporation

Lewisville, TX • On-site

Full-time

Posted 28 days ago

Job description

Job Title: Data Scientist
Location: Lewisville, TX!
Type : Contract
Job Description:
We're looking for a highly skilled Senior Data Scientist with technical expertise and GenAI knowledge for our Auto Consumer Strategy & Analytics group. This candidate will be responsible for supporting initiatives across machine learning and AI model development, model governance, and emerging generative AI innovations. This candidate will also partner with business stakeholders, technology teams, and risk partners to deliver high-quality ML/AI solutions and tools, and ensure responsible, effective deployment of AI solutions. Successful candidates should have hands-on experience with data and modelling, while demonstrating strong communication skills and the ability to influence a complex organization. The Work Itself In this role, you will lead the development and deployment of cutting-edge machine learning and generative AI/agent solutions that drive business transformation. You will design and implement advanced models utilizing experimentation, multi-modal data, and the latest AI techniques to solve complex problems and unlock new opportunities. As a technical expert and innovator, you will collaborate closely with cross-functional teams to ensure our ML/AI systems are robust, responsible, and deliver measurable impact. You will also lead the architectural design and development of state-of-the-art machine learning, generative AI, and agent systems that enhance user experience, drive revenue, and ensure operational excellence. Key Responsibilities • Develop/Implement/Test AI solutions for the Consumer Auto organization, including supporting vendor-developed Agentic AI models and its governance • Leverage novel approaches to continuously improve model performance and business outcomes • Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment • Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems • Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage. The Skills You Bring Ally Proprietary Ally Proprietary • Bachelor's Degree in Quantitative/Technical Discipline (Mathematics, Computer Science, Data Science/Analytics, Economics) • Minimum 3 years of data science / quantitative modelling work experience, with hands on experience working with large datasets (including text); practical experience with deploying LLMs highly preferred • Deep expertise in statistics and exploratory data analysis (EDA), paired with the ability to establish trustworthy benchmarks and operational performance monitoring for deployed models • Strong knowledge in programming languages of Python, SQL or R • Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders • Highly self-motivated and adaptable, with a proven ability to deliver high-quality results in a fast-paced, rapidly evolving environment Preferred Qualifications • Proven experience designing and implementing predictive models, Generative AI, and agentic systems, with a track record of developing novel AI approaches to boost model performance • Strong foundational knowledge of responsible AI practices, including the integration of data governance, ethical AI considerations, and security protocols throughout the model-development lifecycles • Experience with GitHub and repositories • Master's degree or higher in a quantitative field
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