ZipRecruiter

Log In

1

Full Stack Data Analyst Jobs in Seattle, WA (NOW HIRING)

Golden Analytics

Full Stack Engineer

Bellevue, WA · On-site

The Role As a Full Stack Engineer at Golden Analytics, you'll own critical user experiences from end to end. You'll build the AI-powered features that our customers interact with every day - data ...

Golden Analytics, Inc.

Full Stack Engineer

Bellevue, WA · On-site

$120 - $180/hr

As a Full Stack Engineer at Golden Analytics, you'll own critical user experiences from end to end. You'll build the AI-powered features that our customers interact with every day - data preparation ...

Provn

Agentic Full Stack Engineer II

Bellevue, WA

$130K - $200K/yr

Build AI-native data analysis, visualizations, and dashboards. * Build smart data preparation and ... Strong full-stack development across Vite, TypeScript, React, Postgres, Lovable, and Supabase, with ...

New

Divensi

Full Stack Developer

Redmond, WA

Data Science Business Intelligence and Data Warehousing Big Data Analytics Test Engineering UX & UI ... Microsoft (no layers and no implementation partners) Title: Sr. Full-stack developer Location:

Divensi

Full Stack Developer

Redmond, WA · On-site

Specialties Data Science, Business Intelligence & Data Data Warehousing, Big Data Analytics ... Microsoft (no layers and no implementation partners) Title: Sr. Full-stack developer Location:

Helion

Senior Software Engineer, Full Stack

Everett, WA · On-site

... data analysts and scientists, other engineering disciplines, non-engineers, leadership, and vendors to understand feature and data requirements and deliver solutions • Stay current with emerging ...

Helion

Senior Software Engineer, Full Stack

Everett, WA · On-site

... data analysts and scientists, other engineering disciplines, non-engineers, leadership, and vendors to understand feature and data requirements and deliver solutions • Stay current with emerging ...

Programmers.io

Full Stack Engineer

Seattle, WA · On-site

We are seeking a highly skilled Full Stack Developer with strong Data Engineering experience and proven expertise in API Development (must-have) to join our dynamic team. The ideal candidate will be ...

next page

Showing results 1-20

All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Seattle, WA

Full Stack Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do full stack data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full stack data analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or Tableau. They possess skills across data management, analysis, and presentation, enabling them to work independently through the entire data workflow.

What are popular job titles related to Full Stack Data Analyst jobs in Seattle, WA?

For Full Stack Data Analyst jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Analyst jobs in Seattle, WA look for?

The top searched job categories for Full Stack Data Analyst jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Full Stack Data Analyst jobs?

Cities near Seattle, WA with the most Full Stack Data Analyst job openings:

Full Stack Data Analyst jobs near you
Infographic showing various Full Stack Data Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

Senior Full Stack Data Scientist

Garuda Ventures

Seattle, WA • On-site

$120 - $150/hr

Other

Posted 17 days ago

Job description

About Arkero

Arkero is an AI company building intelligent automation solutions for professional sports organizations, ticketing platforms, and live entertainment businesses. We were founded on the conviction that the passionate professionals running these institutions deserve tools that amplify their expertise, not slow them down.

Our AI works alongside sports professionals, automating repetitive workflows so teams can focus on strategy, creativity, and the decisions that drive real business impact. If you're excited about applying cutting-edge AI to one of the most data-rich industries in the world, we'd love to hear from you.

The Role

We are seeking a highly skilled and innovative Senior Full Stack Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in both data science and software engineering, with a focus on developing end-to-end data-driven solutions. This role offers an exciting opportunity to leverage advanced analytics and cutting-edge technologies to drive impactful business outcomes. You'll work across the full data science lifecycle: from data acquisition and feature engineering to model development, dashboard delivery, and stakeholder communication.

Key Responsibilities
  • Design, develop, and deploy end-to-end AI and machine learning solutions — from data acquisition and feature engineering through model training, validation, and production deployment.
  • Build and maintain robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from varied and often messy sources, with a strong focus on data quality and reliability.
  • Leverage AI and advanced analytics techniques to develop innovative, scalable solutions that drive impactful business outcomes.
  • Optimize model and AI system performance through feature engineering, hyperparameter tuning, rigorous validation, and continuous monitoring — treating calibration and drift as ongoing operational concerns.
  • Build scalable, maintainable software to integrate AI and data science workflows with existing systems, enabling seamless data-driven decision-making across the organization.
  • Establish and maintain monitoring mechanisms to proactively detect model drift, data quality issues, and performance degradation — identifying root causes and validating fixes.
  • Work closely with engineers, software developers, and business stakeholders to translate ambiguous business questions into structured AI-driven analyses with explicit assumptions and clear, audience-appropriate communication.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • 7+ years of hands-on experience across the full data science stack — from raw data acquisition and feature engineering to model deployment and production monitoring.
  • Experience with Claude Code, Codex, or other AI coding agents in delivering high quality data science work.
  • Strong proficiency in Python and SQL, with a solid foundation in software engineering best practices including version control, maintainable code, and working effectively in a shared codebase.
  • Deep understanding of machine learning algorithms, statistical modeling, and model validation — with proven experience productionizing ML models including drift detection, calibration, and performance monitoring.
  • Demonstrated experience with generative AI and large language models, including prompt engineering, fine-tuning, or integrating AI APIs into production workflows.
  • Experience developing and deploying end-to-end data science solutions in cloud environments, with familiarity across the modern AI/ML tooling ecosystem.
  • Strong written and verbal communication skills — able to translate complex AI-driven findings into clear, actionable insights for both technical and non-technical audiences.
Preferred Qualifications
  • Experience on a small or startup team — comfortable wearing engineering, analyst, and PM hats in the same week.
  • Experience with sports and ticketing platforms and data ecosystems such as Ticketmaster, SeatGeek, or similar.
#J-18808-Ljbffr

Apply