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Data Analyst Github Jobs in Delaware (NOW HIRING)

... analysis support), while establishing consistent validation standards (secure coding, peer review ... Experienced with pair programming agents such as GitHub Copilot/Claude code to accelerate ...

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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 cities in Delaware are hiring for Data Analyst Github jobs? Cities in Delaware with the most Data Analyst Github job openings:
Software Engineer III - Java / Transformative AI/LLM

Software Engineer III - Java / Transformative AI/LLM

JPMorgan Chase & Co.

Wilmington, DE • On-site

$50.25 - $69/hr

Full-time

Medical, Retirement

Posted yesterday


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description


You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As an AWS Software Engineer III-Full Stack at JPMorgan Chase within the Transformative AI Team, you will be part of an agile team that designs, builds, and delivers innovative solutions to support our clients' trust and estate needs. You will work across the stack, leveraging modern technologies to create secure, scalable, and high-quality applications. As a key member of our engineering team, you will execute software solutions through design, development, and technical troubleshooting, while gaining the skills and experience needed to grow within your role.
Job Responsibilities
  • Execute software solutions, design, development, and technical troubleshooting for Transformative AI applications.
  • Write secure and high-quality code using Java and React, with limited guidance.
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Design, develop, and maintain cloud-native applications on AWS, considering upstream and downstream system impacts.
  • Apply knowledge of tools within the Software Development Life Cycle to improve automation and operational stability.
  • Gather, analyze, and synthesize data from diverse sources to drive continuous improvement of software applications and systems.
  • Proactively identify and solve technical problems, contributing to system architecture and coding hygiene.
  • Collaborate with team members to foster a culture of diversity, opportunity, inclusion, and respect.
  • Contribute to engineering communities of practice and events that explore new and emerging technologies.

Required Qualifications, Capabilities, and Skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Advanced skills in Java with experience developing, debugging, and maintaining code in a large corporate environment, with hands-on skills in Java 11+, Spring Boot, and AWS
  • Intermediate-level familiarity with AWS or other cloud environment.
  • Strong coding fundamentals, including algorithms and data structures.
  • Experience across the Software Development Life Cycle and agile methodologies such as CI/CD, application resiliency, and security.
  • Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, platform engineering).
  • Experience with Transformative AI or LLM driven solutions.

Preferred Qualifications, Capabilities, and Skills
  • Familiar with LLMs, GitHub or CoPilot for building and maintaining robust applications
  • Exposure to Infrastructure as Code and API development in the context of public cloud.
  • Familiarity with event-driven architectures and modern front-end technologies such as React.
  • AWS certification.
  • Experience in financial services domains.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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