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Data Analyst Github Jobs in Missouri (NOW HIRING)

CYNET SYSTEMS

Programmer Analyst III

Saint Louis, MO · On-site

$97K - $129K/yr

Experience evaluating data quality, integrity, and performance issues within large and complex ... Familiarity with source control and application lifecycle tools such as GitHub. * Understanding of ...

PayIt

Associate Data Engineer

Kansas City, MO

$60K - $75K/yr

Experience building solutions for analytical reporting and business intelligence * Experience with ... Experience with CI/CD such as GitHub Actions or Jenkins * Experience working with data lakes and/or ...

GRVTY

Geospatial Data Content Manager Mid

Arnold, MO · On-site +1

Develop and apply methods to identify, collect, process, and analyze large volumes of data to build ... Ability to use and contribute code to repositories, i.e., local, remote, and shared (e.g., Github ...

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All JobsData Analyst Github JobsData Analyst Github Jobs in Missouri

Data Analyst Github information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do data analyst github jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analyst github in Missouri is $77,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 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 Missouri?

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

What job categories do people searching Data Analyst Github jobs in Missouri look for?

The top searched job categories for Data Analyst Github jobs in Missouri are:

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Cities in Missouri with the most Data Analyst Github job openings:

Data Analyst Github jobs near you

Geospatial Data Content Management Engineer - Senior

GRVTY

Arnold, MO • On-site

$101K - $121K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

What Impact You'll Have
This position combines traditional content management responsibilities with modern security practices to ensure secure, automated, and efficient dissemination of NGA Mapping, Charting and Geodesy content. The role requires advanced technical proficiency in geospatial data management, Python automation, database technologies, and API development, enhanced with security engineering capabilities including CI/CD pipeline security, infrastructure-as-code security practices, vulnerability management, and security monitoring automation.
What You'll be Owning
  • Develop and implement automation strategies to streamline seamless data handling, data integrity, and distribution processes to enhance efficiency and accuracy.
  • Develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance GEOINT processes, and systems.
  • Design and deploy custom automation tools to facilitate streamlined workflows, rapid and secure data transfer, minimizing manual intervention and reducing turnaround times.
  • Apply AI/ML techniques to enhance geospatial analysis capabilities and improve accuracy in data extraction from various sources.
  • Develop API-based integration solutions to improve data exchange between NGA and partner systems.
  • Maintain Legacy Python codebase, integrate codebase new security requirements and future Source dissemination solutions.
  • Collaborate with GEOINT content teams to integrate automated quality checks, ensuring the highest standards of data integrity and reliability.

What You Must Have
  • US Citizen with a TS/SCI clearance and the ability to obtain a CI Polygraph
  • 10 years of combined experience in the field with a Bachelor's in a relevant field of study
  • Advanced proficiency with geospatial technologies including ArcGIS Suite (ArcPro, ArcGIS Online, ArcGIS Server), enterprise geodatabase management and geodatabase versioning workflows, and geospatial data formats and transformation processes.
  • Advanced proficiency with Python programming (pandas, matplotlib libraries) and secure coding practices, including code review techniques
  • Advanced proficiency developing and securing APIs, including API development with security controls (authentication, authorization, rate limiting), REST API security, and OAuth implementation
  • Advanced proficiency with database technologies including PostgreSQL and Oracle database management, database security configuration and access controls, and cloud-based database solutions with security configurations
  • Experience implementing database encryption (at-rest and in-transit), database audit logging and monitoring, and database backup and recovery security
  • Advanced proficiency with ETL (Extract, Transform, and Load) processes with data validation, data integrity verification and quality assurance, and secure data transfer protocols and encryption
  • Ability to use and contribute code to repositories with security scanning (GitHub/GitLab), including git security practices and pre-commit hooks
  • Experience developing CI/CD pipelines with security integration, Infrastructure-as-Code with security controls, container security (Docker, Kubernetes), and integrating security scanning tools (Fortify integration)
  • Experience with secrets management systems (AWS Secrets Manager) and vulnerability management platforms
  • Experience implementing security controls in IC environments, with knowledge of NGA security policies and procedures, familiarity with GEOINT security classification guidance, and experience with cross-domain solutions and data transfers
  • Knowledge of NGA systems and standards, including NGA's Mapping, Charting & Geodesy (MC&G) data formats and standards, NGA's Foundation GEOINT products and services, NSG (National System for Geospatial Intelligence) standards and specifications, and understanding of NGA's enterprise systems and databases
  • Exemplary professional writing abilities with familiarity in AI tools, including security documentation and architecture diagramming, technical documentation for security controls and procedures, security risk assessment and mitigation planning, and cross-functional collaboration on security initiatives

What Would be Nice to Have
  • Master's coursework in relevant field of study
  • JavaScript development with security libraries
  • Advanced proficiency with geospatial open-source technologies (QGIS, OGR, GeoServer, PostGIS)
  • Experience conducting web application security testing aligned to OWASP Top 10 and secure coding standards
  • Experience designing cloud security architecture across AWS, Azure, and GCP, including applying CIS Benchmarks and security hardening guidance
  • Experience with security orchestration and automation (SOAR) to support detection, response, and remediation workflows
  • Experience performing penetration testing and ethical hacking activities in support of vulnerability identification and mitigation
  • Experience implementing zero-trust architecture principles and controls
  • Knowledge of NIST Cybersecurity Framework and its application to security governance and control mapping
  • Holds (or ability to obtain) cloud security certifications (e.g., AWS Security, Azure Security)
  • Experience securing container orchestration environments, including Kubernetes security controls and hardening practices

Why Choose GRVTY
The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.
We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.
At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.
• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events
EEO Statement
GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.
Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.
Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)
Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

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