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Data Analyst Github Jobs in Portland, OR (NOW HIRING)

D.A. Davidson

AI & Automation Engineer

Portland, OR · On-site

Strong analytical and problem-solving skills with a track record of delivering solutions that meet ... Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management ...

D.A. Davidson

AI & Automation Engineer

Portland, OR

$90K - $120K/yr

Strong analytical and problem-solving skills with a track record of delivering solutions that meet ... Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management ...

Columbia

Principal Quality Engineer

Portland, OR · On-site

These teams enable in-store, mobile, e-commerce, data, and supply chain platforms to continually ... Mentor analysts and engineering teams on testing methodologies, quality best practices, and QA ...

Hp

Senior ASIC Design Engineer

Vancouver, WA

$116K - $182K/yr

Contribute to key areas of Inkjet and Laserjet print architecture and data path requirements. * Be ... GitHub, etc. * Excellent analytical and problem-solving skills. * Excellent written and verbal ...

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Showing results 41-48

All JobsData Analyst Github JobsData Analyst Github Jobs in Portland, OR

Data Analyst Github information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do data analyst github jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data analyst github in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 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 Portland, OR? For Data Analyst Github jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Analyst Github jobs in Portland, OR look for? The top searched job categories for Data Analyst Github jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Analyst Github jobs? Cities near Portland, OR with the most Data Analyst Github job openings:
Data Analyst Github jobs near you

AI & Automation Engineer

D.A. Davidson

Portland, OR • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago

D.A. Davidson rating

7.9

Company rating: 7.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning 90 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients' financial well-being, we also work to strengthen local communities-and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report.

Summary/Function:
We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and automated workflows using tools like Microsoft 365 Copilot Studio, Power Automate, and Azure AI Foundry. The ideal candidate will combine software engineering expertise with a passion for leveraging AI to transform business processes in a financial services and wealth management domain. You will work on integrating large language model solutions into enterprise systems, ensuring they are secure, compliant, and deliver real value to end-users.
 
Qualifications:
Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or related field. 5+ years of experience in software development, automation engineering, or similar roles.
Microsoft Ecosystem Proficiency: Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation. Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services).
Programming Skills: Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions. Experience building or consuming RESTful APIs and working with data integration.
Cloud & AI Knowledge: Working knowledge of Azure cloud services and AI/ML frameworks. Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.).
DevOps Mindset: Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects. Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes. 
Problem-Solving & Communication: Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs. Excellent communication skills to work effectively with both technical and non-technical team members.
Coordination: Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more.
 
Preferred Qualifications:
Copilot Studio Expertise: Experience with Microsoft 365 Copilot Studio - for example, having built or managed AI copilots/agents in a production setting. Knowledge of designing conversation flows, topics, tools, and using Copilot's advanced features (custom actions, agent-to-agent workflows).
Advanced AI & ML Skills: Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more. 
Financial Services Experience: Background in financial services or wealth management technology projects. Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them.
Security & Compliance Focus: hands-on experience implementing security, compliance, and responsible AI practices in software. For instance, familiarity with Microsoft's Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use.
Innovation & Leadership: Demonstrated initiative in previous roles - maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities. Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current.
Lean and Agile background: Lots of experience working in highly-iterative development processes.  You understand the principles of them but aren't married to any particular methodology.
Patience: Somebody prepared to deal with the boring and the tough.  Every minute of every day in an AI role isn't always deploying new models and agents.  An engineer in this role must also be willing and able to take on things like vendor integration, bug fixing, and other operational and administrative work that comes up day-to-day.
 
The following is required from all associates of D.A. Davidson Companies:
Commitment to maintain client confidentiality and data security
Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information
Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives
Ability to maintain regular, predictable attendance
 
Duties:
Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making. 
Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval).
Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed.
Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations.
DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues.
Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants' effectiveness.
Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders.
 
What do we offer:
Competitive salary plus excellent benefits and perks including, but not limited to:  
Medical, Dental and Vision
Company 401(k)and ESOP contribution 
Generous sick, vacation, and maternity/parental leave
Paid holidays
Professional Development Opportunities
Tuition Reimbursement ($15,000 lifetime cap)
Discounted personal insurance including home, auto and recreational vehicles
Charitable gift-matching program
Davidson Day of Giving - Our tradition of positively impacting communities in which we live and work.  
 
The potential base pay hiring range for this role is $90,000 - $120,000 annually. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate. This role is eligible to participate in applicable D.A. Davidson variable compensation programs. 
$90,000 - $120,000 a year
At D.A. Davidson, we are committed to fostering a diverse environment that supports the development and inclusivity of all employees.
 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
ACKNOWLEDGMENT
Please answer all questions carefully.  By submitting this application for employment, I certify that all of the above information is true and complete and I understand that any falsification or omission of information made by me may disqualify me from further consideration for employment or, if hired, may result in my termination of my employment at any time during the period of my employment, regardless of the amount of time that has passed. California applicants, please see D.A. Davidson's California Resident Privacy Policy.
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