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

Sonar

Data Scientist, Marketing Analytics

Austin, TX · On-site

Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help ... Position description This role is the data team's dedicated analytical partner for Marketing. Your ...

Sonar

Data Scientist, Marketing Analytics

Austin, TX · On-site

Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help ... Position description This role is the data team's dedicated analytical partner for Marketing. Your ...

Winaxis

Data Engineer- Informatica PowerCenter

Austin, TX · On-site

$52.75 - $69.50/hr

... GitHub and Git Actions. - Collaboration & Communication - Collaborate with architects, other data ... and diagrams. - System Analysis & Problem Solving - Analyze user requirements and business ...

Hirekeyz Inc

Systems Analyst

Austin, TX · On-site

HHSC IT is continuing to develop an HHS data integration hub with a goal to accomplish the ... CI/CD pipelines with GitHub and Git Actions 8 Required Experience as a Mulesoft developer 8 ...

Asterism IT Solutions

Database Architect

Austin, TX · On-site

$140 - $190/hr

... GitHub . Key Responsibilities * Design and implement an enterprise-wide Data Catalog and MDM ... Work with data engineering, governance, security, analytics, and AI/ML teams to understand data ...

Hirekeyz Inc

Systems Analyst 3

Austin, TX · On-site

HHSC IT is continuing to develop an HHS data integration hub with a goal to accomplish the ... CI/CD pipelines with GitHub and Git Actions 8 Required Experience as a MuleSoft developer 8 ...

Charles Schwab

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

You will partner closely with engineers, technical leads, analysts, and business stakeholders to ... Experience with DevOps and software delivery tools including GitHub, Bamboo, and Liquibase.

Career Opportunities

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

You will act as a bridge between raw data and actionable analytics, ensuring our analysts and data ... Strong familiarity with Git flows and CI/CD pipelines for data (e.g., GitHub Actions, GitLab CI ...

AtOrchard LLC

Program Analyst - NOAA programs

Austin, TX · On-site

Produce planning documents, data flow diagrams, and communication materials for program activities ... Proven ability to manage requirements and workflows using GitHub and Google Workspace * Familiarity ...

General Motors

Staff Data Science

Austin, TX · On-site

Grow the technical capabilities of the scientist community within the CCA Applied Analytics ... Experience with generative AI tools and platforms such as Cursor, GitHub and/or Microsoft Copilot ...

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

Data Analyst Github information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

How much do data analyst github jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data analyst github in Austin, TX is $81,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,100.00 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 Austin, TX?

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

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

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

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

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

Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,914 per year, or $39.4 per hour.

Data Scientist, Marketing Analytics

Sonar

Austin, TX • On-site

Full-time

Re-posted 28 days ago

Job description

Who is Sonar?
Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.
Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.
We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:
  • SonarQube: The world's leading AI code review and verification platform.
  • SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
  • SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.

Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:
  • Committed to our customers and community.
  • Obsessed with quality.
  • Deliberate in our decisions.
  • Effective as one team.

With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.
Position description
This role is the data team's dedicated analytical partner for Marketing. Your core job is to turn marketing data into decisions: diagnose what is working and what is not, explain why, and recommend where to spend the next dollar. You will own marketing attribution, ROI, and conversion analysis end to end, and you will be proactive about it, surfacing findings and opportunities before anyone asks.
You will explore data, form hypotheses, and partner with our Data and Analytics Engineers to shape the models and pipelines you need. You will help define those models, but your primary measure of success is the quality and impact of your analysis.
This role sits in the Data & Insights team and partners closely with Marketing, IT/Marketing Ops, Data Engineers, Analytics Engineers, and data scientists covering other domains.
What you will do
  • Drive marketing decisions with analysis. Own attribution, ROI, conversion, and funnel analysis. Diagnose drops and anomalies, quantify what drives them, and translate findings into clear recommendations for marketing leaders.
  • Optimize marketing spend. Connect spend to outcomes across channels and campaigns, and advise on where to invest, cut, or test next.
  • Be proactive. Explore and correlate data to surface insights nobody asked for. Anticipate the next question. Bring opportunities to the marketing team rather than waiting for requests.
  • Run experiments. Design and read out A/B tests and other experiments, applying sound statistical methods and being honest about significance and causality.
  • Partner on the data foundation. Work hand in hand with Data Engineers and Analytics Engineers to get marketing data into the warehouse and modeled. Define requirements, explore raw data, and contribute to data models that connect marketing data with sales and product data.
  • Tell the story. Communicate insights so non-technical stakeholders can act, and document context, caveats, and decisions so the work survives handoffs.

Experience and qualifications
  • Strong analytical track record: someone who has measurably influenced business or marketing decisions through analysis, not just produced reports.
  • Comfort with the latest AI tools, and a habit of using them to work faster and sharper: exploring data, writing and debugging code, drafting analysis, and accelerating insight. You stay current as the tooling evolves and bring new approaches to the team.
  • Eagerness to develop: you actively grow your skills, seek feedback, and treat new tools and methods as opportunities rather than threats.
  • Solid SQL. You can independently query, join, and explore data without waiting for someone to prepare it for you.
  • Proficiency in Python for analysis, modeling, and automation.
  • Statistical foundation: experimentation, significance testing, regression, segmentation, forecasting, and the judgment to know which applies.
  • Working knowledge of marketing and GTM data: channels, campaigns, attribution models, funnel and conversion metrics, and the realities of joining marketing data to CRM/sales and product usage data.
  • Willingness to get hands-on with data modeling. You don't need to be a dbt expert, but you must be comfortable exploring messy data and partnering on (or building) the models you need rather than waiting for clean tables.
  • Strong communication and stakeholder skills: you can challenge weak measurement respectfully and make a recommendation, not just present options.
  • Proactivity and autonomy: you raise your hand early, plan your own work, and look for impact without being asked.

In-office culture
We're intentional about this. We believe the best teams are built in the room together. Three anchor days - Mondays, Tuesdays, and Thursdays - create the collaboration rhythm that makes a hub office worth having.
Candidates need to be genuinely based in the location the role is posted - if that's not where you are today, we're happy to support relocation for the right person.
We value diversity, equity, and inclusion
At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you need any accommodation, please reach out to us at [email protected].
All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
Applications that are submitted through agencies or third party recruiters will not be considered.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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