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Data Analyst Github Jobs in Springfield, OH (NOW HIRING)

QA Lead

Dayton, OH ยท On-site +1

The QA Lead plays a critical role in enabling shift-left testing, continuous improvement, and data ... Conduct root cause analysis (RCA) and risk mitigation to reduce recurring defects in high ...

Troubleshoot, analyze, and resolve complex software, integration, performance, and deployment ... Experience with relational databases, SQL, data management, data integration, or enterprise service ...

Troubleshoot, analyze, and resolve complex software, integration, performance, and deployment ... Experience with relational databases, SQL, data management, data integration, or enterprise service ...

Experience designing CI/CD pipelines, such as GitHub Actions, GitLab CI, or Jenkins * Experience ... data design and optimization * Experience with Elasticsearch for search and analytics use cases

Senior Software Engineer

Dayton, OH ยท On-site

$112K - $257K/yr

... interface and data. You need the right combination of clean code, APIs, analytics, and ... Knowledge of CI / CD pipelines using Jenkins, GitHub Actions, Git, or similar tools * Master ...

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Data Analyst Github information

See Springfield, OH salary details

$30.6K

$74.4K

$122.5K

How much do data analyst github jobs pay per year?

As of Jul 4, 2026, the average yearly pay for data analyst github in Springfield, OH is $74,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,400.00 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 on 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 are Data Analysts on 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.

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 cities near Springfield, OH are hiring for Data Analyst Github jobs? Cities near Springfield, OH with the most Data Analyst Github job openings:
QA Lead with Security Clearance

QA Lead with Security Clearance

Concept Plus LLC

Dayton, OH โ€ข On-site

Contractor

Medical, Dental, Vision, Life, PTO

Posted yesterday


Job description

About Concept Plus Concept Plus is a mission-focused technology solutions provider that transforms IT concepts into impactful solutions for federal agencies. Headquartered in Fairfax, VA, we bring the agility, responsiveness, and customer intimacy of a small business combined with the quality and infrastructure of a larger firm. Recognized as an award-winning Oracle partner, we have delivered innovative solutions across Defense, Intelligence, Civilian, Health IT, and Tribal sectors.

Our highly certified experts build systems that drive efficiency, accelerate modernization, and ensure mission outcomes with certainty. We offer competitive pay, comprehensive health, dental, and vision insurance, paid life insurance, paid time off, 11 paid holidays, performance bonuses, tuition reimbursement, unlimited training, and the opportunity to thrive in a collaborative, flexible, and innovative environment. For more information, visit .

About the role Concept Plus is seeking a QA Lead to provide senior technical leadership supporting Air Force IT systems across development and operational environments. This role is responsible for establishing and executing quality assurance strategies, ensuring the delivery of secure, reliable, and high-performing systems. The ideal candidate will have a strong understanding of Air Force IT processes and technology stacks, including DevSecOps CI/CD pipelines, Cloud One, Oracle-based systems, and Java applications.

Air Force systems operate across both classified and unclassified environments, leveraging DISA and cloud-based infrastructure, requiring strict adherence to security, compliance, and operational standards. The QA Lead will define and oversee test strategies, quality standards, and validation processes across the system lifecycle, including functional, integration, regression, performance, and security testing. This role will drive test automation, continuous testing within CI/CD pipelines, defect management, and release quality governance, ensuring mission-critical systems meet performance, security, and reliability expectations.

The QA Lead plays a critical role in enabling shift-left testing, continuous improvement, and data-driven quality metrics, partnering closely with development, infrastructure, and program leadership to support stable operations and successful system modernization. What you'll do * Define testing strategies, integrate security tools into CI/CD, and ensure compliance with DoD/DISA STIGs and RMF * Integrate automated testing (unit, functional, regression, security scanning) directly into CI/CD pipelines. * Lead the secure design, automation, and execution of CI/CD pipelines, incorporating automated security scanning and QA checks (SAST/DAST, dependency scanning).

* Develop, document, and execute automated testing strategies within Agile DevSecOps frameworks, ensuring compliance with functionality, reliability, and security standards. * Ensure all systems comply with DoD/DISA STIGs, Risk Management Framework (RMF), and NIST 800-53 standards. * Integrate automated testing (unit, functional, regression, security scanning) directly into CI/CD pipelines.

* Ensure compliance with DoD standards, including RMF (Risk Management Framework) and STIGs (Security Technical Implementation Guides). * Experience in coding/scripting for automation (e.g., Python, Java). * Integrate, maintain, and optimize automated test suites (functional, integration, regression, smoke) into DevSecOps pipelines (e.g., Jenkins, GitHub Actions).

* Develop and maintain the Quality Control Plan (QCP) and Quality Assurance Surveillance Plan (QASP) tracking KPIs and SLA performance ensuring all deliverables meet contract requirements. * Lead internal compliance assessments and audits, ensuring adherence to CMMI-SVC, ISO 9001:2015, or AS9100 standards. * Conduct root cause analysis (RCA) and risk mitigation to reduce recurring defects in high-visibility military systems.

* Lead a QA team, providing technical guidance on test script creation, database queries (SQL), and performance load testing. * Coordinate with program management, contractors, and government customers to report on SLA and KPI performance metrics. * Work with developers, security engineers, and DevOps to enable continuous, secure delivery.

* Active mentoring of junior engineers on DevOps methodologies. Required Qualifications * US Citizenship Required * Ability to obtain and/or maintain a Secret Clearance * DoD 8140 intermediate certification or DoD 8570 IAM Level II certifications or higher * 10+ years of QA/Test Automation Engineering experience, with 5-7 years in DevSecOps environments. * Bachelor's degree in IT, Engineering, Computer Science, or a related field; master's degree preferred.

* Hands-on experience with modern test automation tools (SonarQube, SAST/DAST) and CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Preferred Qualifications * Experience working with Agile development teams of 20+ FTEs and be familiar with Agile methodologies. * Knowledge of Government Quality Requirements, Performance Work Statements (PWS), and Contract Data Requirements Lists (CDRLs).

* 5+ years of software QA experience, with recent experience in a DoD Agile environment. * Experience with AWS, Azure, or GCP cloud services. * DoD Domain Knowledge: Strong knowledge of DoD software acquisition policies, ATO (Authorization to Operate) requirements, and RMF.

Concept Plus is an Equal Opportunity Employer. As such, we will give your application full consideration without regard to your race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation, gender identity, or any other classification protected by federal, state, or local law.