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Data Analyst Github Jobs in Spokane, WA (NOW HIRING)

Data Analyst Github information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

How much do data analyst github jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analyst github in Spokane, WA is $83,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 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 cities near Spokane, WA are hiring for Data Analyst Github jobs? Cities near Spokane, WA with the most Data Analyst Github job openings:
Infographic showing various Data Analyst Github job openings in Spokane, WA as of July 2026, with employment types broken down into 80% Full Time, 14% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $83,559 per year, or $40.2 per hour.
Forward Deployed Engineer I/II, AI Enablement

Forward Deployed Engineer I/II, AI Enablement

Washington Trust Bank

Spokane, WA

Full-time

Medical, Life, Retirement

Posted 3 days ago


Job description

The Forward Deployed Engineer, AI Enablement partners with business areas across the Bank to identify, design, build, document, and improve AI-enabled workflows and capabilities that make it easy to Sell, Service, and Scale the company. This role helps translate business needs into practical solutions by combining business process understanding, data literacy, AI fluency, stakeholder communication, and lightweight technical implementation. The Forward Deployed Engineer works with business users, process owners, technology, data, security, risk, and governance partners to develop safe, useful, and reusable AI-enabled tools, templates, workflows, documentation, and service patterns. This position requires curiosity, critical thinking, creativity, strong follow-through, and comfort operating in work that may not be fully defined at the start.

Essential Functions:

  • Embeds with business teams and process owners to understand how work moves end to end across people, processes, systems, data, decisions, controls, handoffs, and exception paths.
  • Identifies high-value opportunities to reduce cognitive, context, coordination, execution, quality, or design burden.
  • Determines whether AI, deterministic automation, data capability, reporting, process redesign, or human judgment is the appropriate response.
  • Designs future-state workflows with clear ownership, human and AI responsibilities, review points, exception handling, data boundaries, system interactions, and control requirements.
  • Designs, builds, and validates working AI-enabled solutions that combine agents, approved data, APIs, automation, reporting, workflow components, and human review into cohesive business capabilities.
  • Develops agent instructions, system prompts, tool-use patterns, structured outputs, context and retrieval approaches, evaluation criteria, error handling, and escalation paths appropriate to the use case.
  • Uses programming, scripting, agentic development workflows, APIs, approved platforms, and automation tools to build, inspect, test, debug, and refine solutions.
  • Builds small, testable versions; validates them with domain experts and users; and iterates based on workflow fit, output quality, reliability, usability, adoption, and business value.
  • Advances successful prototypes toward operational use by defining production-readiness requirements, runbooks, monitoring expectations, service ownership, permissions, support paths, change requirements, and control points with appropriate partners.
  • Documents assumptions, decisions, limitations, risks, dependencies, evaluation results, support requirements, and handoff information so capabilities can be reviewed, maintained, supported, and reused.
  • Measures outcomes such as reduced cycle time, fewer handoffs, less rework, improved consistency, stronger decision context, increased operating capacity, adoption, governance confidence, and reuse.
  • Converts successful local solutions into reusable agents, modules, templates, data or context assets, playbooks, evaluation patterns, and service models that accelerate future work.
  • Identifies when an AI-enabled approach is inappropriate and recommends deterministic process, data, reporting, automation, or human-owned alternatives.
  • Escalates data, security, privacy, risk, compliance, governance, production, integration, or supportability concerns early and works with the appropriate owners to resolve or document them.

Qualifications:

  • Demonstrated ability to understand complex business processes, identify high-value improvement opportunities, and translate them into practical technology-enabled solutions.
  • Experience designing, building, testing, and operationalizing AI-enabled workflows, agents, automations, applications, reporting, or decision-support capabilities.
  • Working knowledge of agentic AI concepts, including instructions, tool use, structured outputs, contextual grounding, retrieval, human review, exception handling, orchestration, and evaluation.
  • Proficiency with at least one modern programming or scripting language, such as Python, C#, JavaScript, or TypeScript, with the ability to learn and apply new technologies quickly.
  • Experience using agentic and command-line development workflows—including tools such as GitHub Copilot and Codex-style coding agents—to plan, generate, inspect, test, debug, and refine solutions.
  • Ability to direct coding agents through clear goals, context, constraints, acceptance criteria, and iterative review while maintaining human accountability for the resulting solution.
  • Experience integrating systems and data through APIs, connectors, automation platforms, relational databases, analytical platforms, or event-driven patterns.
  • Ability to build small, testable solutions, validate them directly with users, and iteratively improve reliability, usability, workflow fit, and measurable business value.
  • Strong data fluency, including experience with structured and unstructured data, data models, reporting, analytics, and the context required to ground AI solutions.
  • Experience within Microsoft’s enterprise technology ecosystem, which may include Microsoft Fabric, Azure AI Foundry, Microsoft 365 Copilot, Copilot Studio, GitHub Copilot, Power BI, Power Platform, Azure, and related services.
  • Understanding of production-readiness considerations, including permissions, security, monitoring, error handling, documentation, support ownership, change management, and operational controls.
  • Ability to work across business, operations, technology, data, security, risk, compliance, and governance teams in a regulated enterprise environment. Banking or financial-services experience is preferred.
  • Strong written, verbal, documentation, and facilitation skills, including the ability to create clear technical and operational materials, embed with business teams, learn unfamiliar domains quickly, explain technical concepts clearly, and navigate ambiguity.
  • Sound judgment in determining when AI is appropriate and when deterministic processes, traditional automation, reporting, data, or human-owned solutions would be more effective.
  • A builder mindset characterized by curiosity, adaptability, ownership, practical problem-solving, accountability for measurable outcomes, and the ability to convert successful solutions into reusable components and patterns.
  • Demonstrated self-motivation, initiative, attention to detail, and organizational ability; works effectively both independently and collaboratively.
  • Ability to prioritize multiple assignments, manage interruptions, and maintain a high level of service in a deadline-driven environment.
  • Ability to work additional hours as required by operational and production workloads.

Compensation:

Forward Deployed Engineer I - $87,093 - $130,697
Forward Deployed Engineer II - $99,830 - $149,745

The compensation range represents the low and high end of the base compensation range for this position located in Spokane, WA. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. This position is eligible to participate in an applicable incentive plan.

What Our Culture Can Offer You:

Our benefit philosophy is to provide you with a comprehensive package to secure your overall wellness and help you become and remain a fulfilled and productive employee. Our benefits include Health, Financial, Retirement and Work/Life Benefits. We are proud to share an overview of our benefits HERE as part of your total compensation.

Washington Trust Bank celebrates diversity in the workplace and actively recruits talent to help reflect the unique communities where we live and work. We are proud to be an equal opportunity employer and prohibit discrimination or harassment based on race, religion, sex, gender identity, sexual orientation, national origin, age, pregnancy, disability, genetic information and any other protected characteristics outline by state, federal and local laws. We believe strength comes from the diverse backgrounds and experiences of our team, and we are dedicated to fostering a supportive and inclusive work environment.