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

Develop, configure, customize and manage integration tools, databases, warehouses and analytical ... GitHub, Azure DevOps, and CI/CD pipelines * Advanced knowledge of Extract/Transform/Load (ETL) and ...

With relentless innovation in precise positioning, modeling and data analytics, Trimble enables ... VSCode, Claude Code, GitHub Copilot, and AI coding assistants as part of your standard workflow

With relentless innovation in precise positioning, modeling and data analytics, Trimble enables ... VSCode, Claude Code, GitHub Copilot, and AI coding assistants as part of your standard workflow

... GitHub Copilot to improve developer productivity through AI-assisted coding, code analysis ... data. Contributes to technology strategy and engineering roadmaps around software engineering ...

... GitHub issues, and release cycles * Build strong relationships and manage research projects across ... Knowledge of GIS technologies, data visualization tools, and analytical workflows * Familiarity ...

... GitHub Copilot, Codex, and similar platforms to support test design, edge case discovery, test data ... Strong analytical, troubleshooting, and problem-solving skills. * Strong understanding of software ...

... GitHub Copilot, Codex, and similar platforms to support test design, edge case discovery, test data ... Strong analytical, troubleshooting, and problem-solving skills. * Strong understanding of software ...

... GitHub Copilot, Codex, and similar platforms to support test design, edge case discovery, test data ... Strong analytical, troubleshooting, and problem-solving skills. * Strong understanding of software ...

... GitHub issues, and release cycles * Build strong relationships and manage research projects across ... Knowledge of GIS technologies, data visualization tools, and analytical workflows * Familiarity ...

Senior DevOps Engineer

Beaverton, OR · On-site

$135K - $173K/yr

Move build and deployment pipelines from GitHub Actions to Bitbucket and Jenkins with a clear ... Database and data-migration experience (SQL Server, PostgreSQL). * Log aggregation and analysis ...

Senior DevOps Engineer

Beaverton, OR · On-site

$135K - $173K/yr

Move build and deployment pipelines from GitHub Actions to Bitbucket and Jenkins with a clear ... Database and data-migration experience (SQL Server, PostgreSQL). * Log aggregation and analysis ...

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Showing results 1-20

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 Jul 15, 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 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 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 Engineer

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Fisher Investments rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

It's an exciting time to be a member of the Fisher Investments Technology Department. We're investing in the future of our firm's technology and are building our team to achieve global growth. We are looking for a Data Engineer to support our Enterprise Data Management team. If you are looking for an opportunity to make a difference as we develop scalable and strategic solutions to support our global growth, we want to hear from you!

 

The Opportunity:

Fisher Investments is looking for a Data Engineer – Data to design and deliver modern data solutions using cloud-based platforms and AI-driven innovations. You will partner with business, technology, and governance teams to enable scalable, secure and compliant data platforms that power advanced analytics and AI. You will act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts, or other data repositories. You will also coordinate with other IT teams to configure and implement security, monitoring, tooling, and related capabilities as they apply to their assigned systems. You will report to the team lead of Data Delivery for our Global Private Client Group.

The Day-to-Day: 

  • Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams
  • Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems
  • Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files
  • Develop and deploy structured, semi-structured, and unstructured data storage models and dimensional data models on various platforms to meet business requirements
  • Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams
  • Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered
  • Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs
  • Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growth

Your Qualifications:

  • 5+ years' experience developing data-related solutions and software
  • 5+ years of experience working with relational databases and applying it in various applications, including within the Microsoft Azure platform
  • 2+ years of experience with multiple cloud technologies in the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud technologies
  • 2+ years of experience designing and development on-premises and cloud-based (Azure) infrastructure and platform components
  • 2+ years of hands-on development and deployment experience with Azure cloud using T-SQL, Azure SQL, Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines
  • Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software
  • Advanced knowledge of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases
  • Advanced knowledge of multiple programming languages, such as Python, SQL, Scala, or similar
  • Advanced knowledge of IT infrastructure standards and tools, such as application performance monitoring, IT service management, or DevOps software
  • Bachelor's degree in Computer Science, Information Technology, or other relevant field

Compensation:

  • $90,000 - $150,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience
  • Eligible for a discretionary bonus based on firm and individual performance

Why Fisher Investments:

We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:

  • 100% paid medical, dental and vision premiums for you and your qualifying dependents
  • A 50% 401(k) match, up to the IRS maximum
  • 20 days of PTO, plus 10 paid holidays 
  • Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care
  • This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. 

FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER


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