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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

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

New

Java Developer

Wilmington, DE · On-site

$49.50 - $64/hr

Collaborate with analytics, fraud risk, and platform teams to ensure data accuracy and reliability * Improve operational efficiency through automation * Leverage AI productivity tools (e.g., GitHub ...

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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 26, 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 cities in Delaware are hiring for Data Analyst Github jobs? Cities in Delaware with the most Data Analyst Github job openings:
Data Scientist - Fellowship

Data Scientist - Fellowship

Tech Impact

Wilmington, DE

$40/hr

Contractor

Posted 26 days ago


Job description


Data Innovation Lab
Data Scientist 
  • Join an innovative, like-minded team that focuses on your personal growth and accelerating your career!
  • Use your skills and experience for social good.
  • This is an hourly contract position.
  • 20 hours per week.
  • $40/Hour
  • Fellowship program runs from July 2026 to December 2026.
About Us
Tech Impact's Data Innovation Lab (Tech Impact) exists to engage local and global organizations in an ongoing conversation around the use of advanced data analytics and artificial intelligence to fast-forward research ideas out of the lab and into the marketplace.
Our mission is to develop novel data and analytics approaches that can disrupt the status quo and fundamentally alter a current issue or problem. Using best practices, diverse industry experience, access to technical and scientific talent, and core technologies, the lab will solve community-based issues while attracting national talent to the region and providing work for the technical and innovative talent of Delaware.
For more information, visit our website.
About the Opportunity
Tech Impact is looking for Data Scientists to join our Fellowship Program in Delaware. The Fellowship Program will run from July 2026 to December 2026 and is a hybrid role. Along with our Lead Data Scientist, our Data Scientists serve as our primary delivery resource for consulting, study-design, analytics/ML and statistical inferencing.
The Fellowship is intended for technologists with a deep technical skill set and a strong desire to serve their communities. As a Data Scientist, you will work with our partners to design, develop, and deploy production-grade solutions to social good problems. You will be expected to collaborate across projects to generate hypotheses, develop models, and create products. Your work will directly lead to improving the lives of people in communities in Delaware and beyond. 
Responsibilities include, but are not limited to:
  • Analyze data for trends and patterns through both exploratory and hypothesis-driven approaches. 
  • Organize and communicate findings to clients and stakeholders. 
  • Select and apply analytical techniques and modeling methods aimed at supporting problem sets focused on data used for social good.
  • Propose tangible machine learning solutions, helping to build products that advance the Lab’s goals.
  • Serve as an authority in machine learning data education/application amongst clients/stakeholders.
  • Tactically develop production-grade models while thinking strategically about public impact/relevance  
  • Contribute to innovative projects, specifically to idea generation, idea incubation, and/or experimentation.
  • Serve as a liaison between government, corporate, community, and non-profit teams to drive the application of machine learning solutions into real-world applications.
  • When relevant, support authorship of academic papers, presentations, white papers, and other publications by conducting analyses and producing visualizations. 

More About You 
Our preferred candidate has a Master's Degree or above in statistics, mathematics, computer science, psychology, public health, or another related quantitative field. However, undergraduates or individuals who have relevant training will also be considered.
In addition, we require strong skills, experience, and knowledge in the following:
  • Commitment to leveraging data for social good. 
  • Hands-on coding experience in Python / R / Julia or any other open-source programming language 
  • 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 self-motivated thinker that works well independently and on collaborative teams.  
  • Ability to translate complex data science jargon into meaningful, actionable insights for technical and non-technical stakeholders. 
  • Excellent organizational skills, with the ability to organize and prioritize work efficiently and effectively. 
  • A preference for experience working in cloud environments (preference for those with Azure experience) 
  • A preference for experience handling confidential data and information with integrity in a shared cloud environment.
  • An eagerness to stay up to date on new technologies and methodologies to level up your skillset. 

Employment Policy
As an Equal Opportunity Employer, Tech Impact embraces diversity and does not discriminate in employment based on age, race, color, creed, sex, gender, identity, religion, marital status, veteran’s status, national origin, disability, or sexual orientation. 
  • ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. 
  • Requires the ability to speak, hear, see and use a computer and other office-related equipment. 
  • Also requires the ability to sit for extended periods of time, stand, stoop, crawl and lift to 50 lbs. 
  • May require local and regional travel.