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

Hp

AI Platforms Analytics and Governance Lead

Spring, TX

$130K - $205K/yr

... as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized ... Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional ...

CEDENT

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Perform root cause analysis on external and internal processes and data to identify opportunity for ... GitHub * Intermediate * Databricks * Airflow

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

Analyze large-scale structured and semi-structured datasets to generate insights, build predictive ... Github) and AI-assisted development tools (e.g. Github Copilot) * Experience with Retrieval ...

CEDENT

Azure Data Engineer (Houston, TX)

Houston, TX

$109K - $131K/yr

... analysis on external and internal processes and data to identify opportunity for improvement ... Advanced SQL Snowflake Tamr Python GitHub Intermediate Databricks Airflow

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

You will develop efficient and accurate analytical models which mimic business decisions and ... Implement CI/CD pipelines and manage code repositories using GitHub Enterprise. * Design and ...

Andor Tech Inc.

Senior Data Tech Lead

Houston, TX · On-site

Monitor pipeline performance and lead root cause analysis for data and process issues. * Drive CI ... CI/CD for application delivery (Azure DevOps/GitHub Actions) * Containerization (Docker ...

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Strong Git and CI/CD experience (Azure DevOps or GitHub Actions), including version control discipline, code review, and automated testing * Experience delivering data to BI/analytics tools such as ...

Fervo Energy

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Strong Git and CI/CD experience (Azure DevOps or GitHub Actions), including version control discipline, code review, and automated testing * Experience delivering data to BI/analytics tools such as ...

Howard Hughes

Sr. Data Engineer

The Woodlands, TX · On-site

$104K - $125K/yr

You will partner with business stakeholders, analysts, application teams, and infrastructure ... s or GitHub Actions). * Solid understanding of security, identity, and compliance : * Azure AD ...

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

Data Analyst Github information

See Houston, TX salary details

$31.4K

$76.3K

$125.6K

How much do data analyst github jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data analyst github in Houston, TX is $76,300.00, 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.

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.

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 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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $76,300 per year, or $36.7 per hour.

Data Analyst / Data Scientist 4-8 Years - USC/Gc/H4EAD

Hudson Manpower

Houston, TX • On-site

$50K - $75K/yr

Full-time

Posted 2 days ago

New

Job description


We are seeking experienced Data Analytics / Data Science professionals with 4-8 years of hands-on experience in data analysis, statistical modeling, business intelligence, and/or machine learning. The ideal candidate will have strong expertise in SQL, Python, data visualization, statistical analysis, data modeling, and modern cloud-based data platforms, with the ability to translate complex datasets into actionable business insights.
Experience with modern AI/ML, Generative AI, LLMs, and AI-assisted analytics is highly desirable.
Experience: 4-8 Years
Employment Type: Full-Time W2 Only
Work Authorization: U.S. Citizen / Green Card / H4 EAD
Location: Open to opportunities across the United States
Relocation: Must be willing to relocate anywhere in the U.S. for a suitable opportunity
Key Responsibilities
  • Collect, clean, transform, and analyze structured and unstructured data.
  • Perform Exploratory Data Analysis (EDA) and identify trends, patterns, anomalies, and business opportunities.
  • Develop dashboards, reports, and data visualizations using Power BI, Tableau, or equivalent tools.
  • Write complex and optimized SQL queries for data extraction and analysis.
  • Develop statistical models and machine learning solutions for business problems.
  • Build and evaluate predictive models using appropriate ML algorithms.
  • Perform feature engineering, model validation, and performance evaluation.
  • Work with large-scale datasets using modern data processing technologies.
  • Collaborate with data engineers, software engineers, product teams, and business stakeholders.
  • Communicate analytical findings and recommendations to technical and non-technical stakeholders.
  • Support data quality, governance, validation, and documentation initiatives.
  • Deploy and monitor analytical or machine learning models in production environments where applicable.
  • Leverage AI/GenAI tools to improve data analysis, reporting, automation, and productivity.

Cloud & Modern Data Technologies
Experience with one or more of the following:
  • AWS, Microsoft Azure, or Google Cloud Platform (GCP)
  • Snowflake, Databricks, BigQuery, Redshift, or Azure Synapse
  • Cloud-based data warehouses and data lakes
  • Apache Spark / PySpark
  • ETL/ELT tools and modern data pipeline technologies
  • Airflow, dbt, or equivalent data orchestration/transformation tools
  • Data lakehouse architecture and distributed data processing

AI / Machine Learning / GenAI
Experience with the following is highly desirable:
  • Machine Learning using Scikit-learn, XGBoost, TensorFlow, or PyTorch
  • Generative AI and LLM-based applications
  • Experience working with OpenAI, Azure OpenAI, Amazon Bedrock, Google Vertex AI, or equivalent AI platforms
  • RAG (Retrieval-Augmented Generation) concepts
  • Embeddings and vector databases
  • AI-powered analytics and intelligent automation
  • LLM prompt engineering and evaluation
  • Familiarity with LangChain, LlamaIndex, or similar frameworks
  • Experience using AI coding/analytics assistants such as GitHub Copilot or equivalent tools

Data Engineering & Analytics Exposure
  • Experience working with large and complex datasets.
  • Understanding of data pipelines, ETL/ELT, data ingestion, transformation, and orchestration.
  • Exposure to Kafka or other event-streaming technologies is a plus.
  • Understanding of data governance, lineage, security, and data quality practices.
  • Experience with APIs and integrating data from multiple sources is desirable.

Preferred Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or a related field.
  • Experience building end-to-end analytics or data science solutions.
  • Experience deploying ML models or analytical applications to cloud environments.
  • Knowledge of MLOps and model lifecycle management.
  • Experience with MLflow, Kubeflow, or equivalent platforms.
  • Understanding of responsible AI, model monitoring, and AI governance.
  • Experience presenting analytical insights to senior stakeholders.

Required Skills
  • 4-8 years of professional experience in Data Analytics, Data Science, Business Intelligence, or a related field.
  • Strong proficiency in SQL, including complex queries, joins, CTEs, window functions, aggregations, and query optimization.
  • Strong hands-on experience with Python for data analysis and/or data science.
  • Experience with Pandas, NumPy, Matplotlib, Seaborn, or equivalent Python libraries.
  • Strong understanding of statistics, probability, hypothesis testing, regression, and statistical analysis.
  • Experience with data visualization and BI tools, such as Power BI, Tableau, Looker, or similar.
  • Understanding of data modeling, ETL/ELT concepts, data quality, and data pipelines.
  • Experience with machine learning concepts and frameworks, including Scikit-learn or equivalent.
  • Experience working with relational databases such as PostgreSQL, MySQL, SQL Server, Oracle, or similar.
  • Strong analytical, problem-solving, and communication skills.
  • Experience working in Agile/Scrum environments.

Core Technology Stack
Python | SQL | Pandas | NumPy | Scikit-learn | PySpark | Power BI | Tableau | AWS | Azure | GCP | Snowflake | Databricks | BigQuery | Spark | Airflow | dbt | Machine Learning | Generative AI | LLMs | RAG | Vector Databases | Git
Candidate Requirements
  • 4-8 years of hands-on professional experience in Data Analytics/Data Science or related roles.
  • Must be authorized to work in the U.S. as a U.S. Citizen, Green Card holder, or H4 EAD holder.
  • W2 only.
  • Must be willing to relocate anywhere in the United States for a suitable opportunity.
  • Strong communication and stakeholder-management skills.
  • Ability to work independently as well as collaboratively in cross-functional teams.

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