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Data Analyst Github Jobs in Delaware (NOW HIRING)

Agilent

Adobe Target Lead Engineer

Wilmington, DE · On-site +1

$116K - $182K/yr

... Analytics, CJA, CDP). * Strong understanding of HTML DOM, browser scripting, and developer tools. * Experience with AI-powered coding tools (e.g., GitHub Copilot). * Other Skills: * Knowledge of data ...

Cisco

Software Engineer, Backend

Dover, DE · On-site

$152K - $219K/yr

... monitoring, analytics, and data lakes across Cisco. We'rea small, expert team that owns this ... Experience implementing CI/CD pipelines (GitLab or GitHub) and deploying applications using ...

Hermitage Infotech

Salesforce Technical Lead

Wilmington, DE · On-site

$67 - $83/hr

... data models, system integrations, and endtoend application flows. • Serve as the technical ... GitHub Actions, Copado etc. • Troubleshoot complex production issues, providing root cause ...

CEI

PAM/IAM Cloud Security Engineer

Wilmington, DE · Hybrid

Build, analyze, operate, and scale API management solutions to protect customer and workforce data ... Familiarity with CI/CD pipelines and tools such as Ansible, GitHub, Terraform, and Jenkins.

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Data Analyst Github information

See Delaware salary details

$34K

$82.7K

$136.1K

How much do data analyst github jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data analyst github in Delaware is $82,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,100.00 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 are popular job titles related to Data Analyst Github jobs in Delaware? For Data Analyst Github jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Analyst Github jobs in Delaware look for? The top searched job categories for Data Analyst Github jobs in Delaware are:
What cities in Delaware are hiring for Data Analyst Github jobs? Cities in Delaware with the most Data Analyst Github job openings:
Data Analyst Github jobs near you
Assistant Director for Decision Support

Assistant Director for Decision Support

University of Delaware

Newark, DE • On-site

Full-time

Posted 25 days ago

University Of Delaware rating

5.5

Company rating: 5.5 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

520th of 544 rated colleges and universities

Job description

Assistant Director for Decision Support
Job no: 503285
College / VP Area: VP Finance & Deputy Treasurer
Work type: Staff
Location: Newark, DE
Categories: Institutional Research & Planning, Full Time
Curious about the full value of working at UD? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package.
Under general direction of the AVP, Finance & Cost Analysis, the Assistant Director will support the university's central analytic platform and Anaplan user community, working in close collaboration within the Department of Decision Support and the broader university community to ensure access to quality data products, access and training needed for strategic decision-making.
Duties include: review new and existing data and information products and ensure that access, documentation, and the user community at large are resourced for success; design, develop and deploy sophisticated Anaplan financial, budget and student models; support the data governance process at the university, evaluating, understanding, and documenting business process at all levels across campus, and providing unbiased centralized perspective of the distributed data needs of the campus and how they interrelate; supervise a team of technical and analytic staff assigned to work on disparate administrative data systems and support their creation of information products for university decision-makers; prototype and build Tableau dashboards and Anaplan workspaces using existing data models; lead Agile development processes and manage the Department's portfolio of projects and requests; establish data models, data products, and business processes, and maintain appropriate documentation, using relevant tools, such as GitHub; collaborate with stakeholders to organize and structure the university's data systems to support analytics, integrated planning, and evidence-based decision making; and ensure quality control and development standards for new data products, systems, and platforms; work with stakeholders in the development of mid and long-range predictive enrollment, space, staffing, and financial models that support strategic planning efforts and executive decision-making.
Requires a Bachelor's degree in Mathematical Science, Industrial Engineering, Operations Research, Information Systems, or a related field and 6 years of experience or alternatively, a Master's degree in same and 4 years of experience creating reusable data sources from an enterprise data warehouse (e.g. AWS Redshift), designing and deploying financial, budget, forecasting, and student models, using relational databases and SQL, designing databases and data warehouses, coordinating large user groups of administrative data platforms, performing Agile project management, data governance and regulatory compliance, and using business intelligence and analytics tools (e.g., Tableau) for process automation and efficiency optimization. Remote work permitted within the same MSA 3 days per week.
Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.
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