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

Crane Worldwide Logistics

Sr. Software Engineer

Houston, TX · On-site

$106K - $139K/yr

Implement robust data processing and integration pipelines. * Write clean, maintainable, and ... GitHub Actions. * Strong experience with PostgreSQL or other SQL databases. * Experience analyzing ...

Crane Worldwide Logistics

Sr. Software Engineer

Houston, TX

$106K - $139K/yr

Implement robust data processing and integration pipelines. * Write clean, maintainable, and ... GitHub Actions. * Strong experience with PostgreSQL or other SQL databases. * Experience analyzing ...

Pantheon

Power BI Developer - W2

The Woodlands, TX · On-site

... dashboards and analytics solutions. Work Location: The Woodlands, Texas Work Arrangement: 100 ... to build and optimize data models and write efficient DAX Experience using GitHub for version ...

New

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Advanced Python skills for quantitative analytics, risk engines, data pipelines, and automated ... Familiarity with Git/GitHub/GitLab, software lifecycle controls, and documentation standards is ...

WNS Global Services

Senior Developer - IT

Houston, TX · On-site

$130K - $150K/yr

... data operations. Identify ETL automation opportunities. Implement AI-assisted validation, reconciliation, monitoring, onboarding and analytics. Leverage Microsoft Copilot, GitHub Copilot, Cursor AI ...

WNS Global Services

Senior Developer - IT

Houston, TX · On-site

$120K - $135K/yr

... data operations. * Identify ETL automation opportunities. * Implement AI-assisted validation, reconciliation, monitoring, onboarding and analytics. * Leverage Microsoft Copilot, GitHub Copilot ...

WNS Global Services

Senior Developer - IT

Houston, TX · On-site +1

$120K - $135K/yr

... data operations. * Identify ETL automation opportunities. * Implement AI-assisted validation, reconciliation, monitoring, onboarding and analytics. * Leverage Microsoft Copilot, GitHub Copilot ...

Expand Energy

Quantitative Risk Manager

Spring, TX

Advanced Python skills for quantitative analytics, risk engines, data pipelines, and automated ... Familiarity with Git/GitHub/GitLab, software lifecycle controls, and documentation standards is ...

WorkNovas LLC

Platform Engineer

Houston, TX · On-site

Coach data/analytics teams on compliant onboarding and optimal platform usage. * Maintain internal ... Experience with CI/CD, GitHub Actions, Azure DevOps, or similar tools. Success Indicators: * Teams ...

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Showing results 41-60

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

Data Analyst Github information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

How much do data analyst github jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analyst github in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 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 Houston, TX?

For Data Analyst Github jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Data Analyst Github jobs in Houston, TX look for?

The top searched job categories for Data Analyst Github jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Analyst Github jobs?

Cities near Houston, TX with the most Data Analyst Github job openings:

Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

Sr. Lead Software Engineer - AWS Data Engineer - AI/ML

JPMorgan Chase & Co.

Houston, TX • On-site

$150 - $190/hr

Other

Re-posted 22 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top‑notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Commercial and Investment Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem‑solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
  • Develops secure and high‑quality production code, and reviews and debugs code written by others.
  • Drives adoption and governance of approved AI‑assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test acceleration, release readiness, incident/root‑cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‑assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
  • Influences peers and project decision‑makers to consider the use and application of leading‑edge technologies.
  • Adds to the team culture of diversity, opportunity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
  • Formal training in software engineering concepts and 10+ years of applied experience.
  • Extensive experience building and operating AWS/public cloud‑based applications.
  • Experience with pipelines and DAGs (Directed Acyclic Graph) for data processing and/or machine learning.
  • Strong Python programming skills.
  • Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
  • Demonstrated proficiency in cloud and AI/ML software practices.
  • Strong problem‑solving, communication, and stakeholder collaboration skills.
  • Familiarity with MLOps practices and tooling.
  • Experience driving adoption of AI engineering tools (e.g., GitHub Copilot) for JIRA, documentation, coding, and releases, with measurable productivity and quality gains.
Preferred Qualifications, Capabilities, and Skills
  • Experience leading a small team as tech lead and/or manager.
  • Proficiency with AWS (hands‑on): SageMaker, Bedrock, Glue, Redshift Serverless, DynamoDB, EventBridge, Step Functions, Lambda, ECS, EKS, Kinesis, CloudWatch.
  • Experience with Python, Terraform, GitHub Copilot, Airflow, Kubernetes, Docker, MLflow, Datadog, Dynatrace, MCP.
  • Familiarity with JPMC platforms/tools (highly preferred): Jules/JET, GKP (Gaia Kubernetes), Fusion MLOps.
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