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Data Analyst Github Jobs in Delaware (NOW HIRING)

Relevant delivery of complex analytical projects * Working with version control platforms, especially Git / GitHub * Ability to work closely with other Data Lab members to perform ETL using SQL. * A ...

Sr Analyst, Execution

Wilmington, DE · Hybrid

$85K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Analytics, or Computer Science. * 5+ years experience in process automation and strategy development using Databricks workspace, Databricks Notebooks, Job Clusters, Python & PySpark, Github ...

Sr Analyst, Execution

Wilmington, DE · On-site

$85K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Analytics, or Computer Science. * 5+ years experience in process automation and strategy development using Databricks workspace, Databricks Notebooks, Job Clusters, Python & PySpark, Github ...

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 ...

Java Developer

Wilmington, DE · On-site

$49.50 - $64/hr

Create Python scripts and applications for automation, data processing, and backend services ... Experience with Git, Maven/Gradle, Jenkins, GitHub Actions, or similar CI/CD tools. * Familiarity ...

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 ...

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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 Aug 16, 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 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 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.

Is GitHub good for data analysts?

GitHub is a valuable tool for data analysts as it facilitates version control, collaboration, and sharing of data projects and code. Many data analysts use GitHub to showcase their work, collaborate with teams, and manage project documentation, often integrating it with tools like Jupyter notebooks and data visualization libraries.

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:

Entry Level Artificial intelligence security specialist

SynergisticIT

Dover, DE • On-site

Other

Re-posted yesterday


Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level job positions.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, docker, jenkins, github, kubernates and REST API's experience. For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, sagemaker, python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.