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

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

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

Collaborate with analytics teams to deliver clean datasets for reporting and support dashboard ... Basic experience with Git/GitHub . * Agile Mindset: Experience working in fast-paced environments ...

... DevOps / GitHub. * Strong analytical and root-cause analysis skills for production data issues ... ability to read complex real-world data and reason about what the right answer should be. * Hands ...

... DevOps / GitHub. * Strong analytical and root-cause analysis skills for production data issues ... ability to read complex real-world data and reason about what the right answer should be. * Hands ...

Senior Data Engineer

Richardson, TX · On-site

$105K - $180K/yr

... DevOps / GitHub. * Strong analytical and root-cause analysis skills for production data issues ... ability to read complex real-world data and reason about what the right answer should be. * Hands ...

Snowflake Data Engineer - Onsite

Westlake, TX · On-site

$109K - $132K/yr

... GitHub) * Understanding of data governance principles and best practices. * Proven experience in understanding existing data model and develop the data objects. * Excellent analytical and problem ...

AWS Data Platform Engineer

Dallas, TX · On-site

$113K - $136K/yr

... analytics. The ideal candidate has hands-on experience developing distributed data pipelines ... Lake Formation • GitHub • Harness • JFrog • Argo CD Preferred Skills • Experience ...

Lead Data Engineer

Irving, TX · Remote

$98K - $129K/yr

This position sits in our Enterprise Data and Analytics team, which aims to drive improved business ... Version control & branching strategies (Github a plus) * Proficient in languages: SQL, Python

Lead Data Engineer

Irving, TX · On-site +1

$98K - $129K/yr

This position sits in our Enterprise Data and Analytics team, which aims to drive improved business ... Version control & branching strategies (Github a plus) * Proficient in languages: SQL, Python

Lead Data Engineer

Irving, TX · On-site

$94K - $124K/yr

This position sits in our Enterprise Data and Analytics team, which aims to drive improved business ... Github a plus) Proficient in languages: SQL, Python Data governance, security, and compliance ...

Data Quality Engineer

Dallas, TX · On-site

$62 - $65/hr

Support incident response, root cause analysis, and postmortems Required Qualifications ... Experience with CI/CD tools such as GitHub Actions or Jenkins Flexible work from home options ...

Informatica Data Engineer

Coppell, TX · On-site

$49.50 - $65/hr

... analytics initiatives. This role is ideal for someone with deep experience in Informatica ... Experience with GitHub, SDLC, data profiling, and source-to-target mapping If you're passionate ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Support data integration and transformation efforts for analytics and reporting platforms ... Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Support data integration and transformation efforts for analytics and reporting platforms ... Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle

Showing results 41-60

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:

Senior Data Scientist

AArete

Dallas, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

Description

Senior Data Scientist

AArete is one-of-a-kind when it comes to consulting firm culture.

We're a global, innovative management and technology consulting firm with offices in the U.S. and India. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for.

We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience.

AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment.

The Role

We are looking for a Senior Data Scientist who will support our client teams with insights gained from analyzing data leveragingadvanceanalytics techniques. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders' business requirements. In the new age of AI, this role will lead the design, evaluation, and operationalization of advanced Generative AI and Agentic AI solutions that responsibly augment analytical workflows, accelerate client delivery, and convert complex data into practical business action.

Work You'll Do

  • Work directly with client teams to identify opportunities for leveraging advanced analytical techniques to drive business solutions
  • Develop custom AI/ML models and algorithms to apply to data sets
  • Develop processes and tools to create and monitor data models while maintaining accuracy and other associated metrics necessary for the business objective
  • Lead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls
  • Apply and guide advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve complex client business problems
  • Leverage and mentor others in the use of AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation
  • Provide technical leadership in rapidly learning new domains, framing ambiguous problems, and translating AI/ML opportunities into measurable client outcomes
  • Other duties as assigned

Requirements

  • 6+ years of work experience with a bachelor's degree in quantitative field such as Data Science, Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred
  • Previous experience working with relational databases and developing advanced SQL queries is a must
  • Hands-on Agentic AI experience, including leading or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks
  • Ability to lead projects and mentor junior data scientists, own and deliver outcome with thorough project management, planning and sound architectural decisions
  • Advanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI practices, and delivery of AI-enabled solutions in business settings
  • Advanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows
  • Strong AI/ML background with practical depth across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation
  • Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset
  • Strong problem-solving and technical leadership skills with the ability to structure ambiguous business questions, test hypotheses, and guide teams toward practical analytical recommendations
  • Experience leveraging AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development
  • Experience working with businessintelligence platforms: Tableau, Power BI, etc.
  • Must be legally authorized to work in the United States without the need for employer sponsorship

Preferred Requirements

  • Based in Chicago, IL, and flexible to work from our Chicago office as needed
  • Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data
  • AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML services
  • Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments
  • Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations
  • AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials

Compensation & Benefits

  • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays
  • Own Your Day flexible work policy
  • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
  • Generous paid parental leave options
  • Employer-paid Life Insurance, Short Term Disability, Long Term Disability
  • Charitable contribution matching program
  • New client commission opportunities and referral bonus program
  • Bike share discount program

The estimated base salary range for this position is $125,000 - $145,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our majority employer-paid benefits and incentive pay for eligible roles. Please note that this range is a guideline, and individual total compensation may vary due to numerous factors, including but not limited to experience level, certifications, and other relevant business considerations.

AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available.

We put humans at the center of our work

We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.

But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.

And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.

We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms.

Learn more about our award-winning culture

AArete, LLC ("AArete") may utilize Artificial Intelligence/Automated Decision-Making Technology/Automated Employment Decision Technology tools and resources ("AI" or "tools" or "resources") to assist humans in generating job descriptions and postings, recruitment, analyzation of information, screening candidates, evaluation of candidate information, and assisting humans in the selection of potential candidates by all levels of AArete employees for all positions.

AArete may use Microsoft Co-Pilot, OpenAI ChatGPT, Anthropic Claude, Google Gemini, LinkedIn Recruiter AI and Hiring Assistant, Jobvite Talent Fit and AArete HireSense. AArete may use all the information you provide. Submission of information to AArete shall serve as consent to AArete's use of AI tools and resources. AArete complies with all applicable law and does not use AI to discriminate against any individual and does not use location or geographic data like zip codes to act in a discriminatory or illegal manner. Your personal data may be used in relation to prospective employment with AArete and will only be retained for so long as legally necessary.

AArete shall comply with its posted privacy policies and candidates may contact Recruiting or Privacy Departments, as identified below, to request accommodations or to exercise any of your applicable rights, pursuant to applicable law:

Recruiting: [emailprotected]