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Data Analyst Ai Jobs in Bothell, WA (NOW HIRING)

Microsoft

Data Analyst, People Analytics

Redmond, WA · On-site

$113K - $187K/yr

Overview Are you an analyst who's found you'd rather build the tools than run the reports? Do you ... AI handles the breadth so our people can go deeper - self-serve answers the common questions, and ...

Expedia, Inc.

Senior Data Analyst - Layla AI

Seattle, WA · On-site

$97K - $123K/yr

Familiarity with AI-driven tools or workflows and applying data/AI concepts to real-world products responsibly. Preferred Qualifications: * Proficiency with Python (or R) for analysis. * Experience ...

BITKRAFT Ventures

Lead Data Analyst

Seattle, WA · On-site

We operate leveraging AI to be more ambitious: small team, high bar, AI woven into workflows that ... Own UA and ROAS analysis. Build cohort-level ROAS and payback curves from MMP data (we use Singular ...

Expedia

Senior Data Analyst - Layla AI

Seattle, WA · On-site

$97K - $123K/yr

Familiarity with AI-driven tools or workflows and applying data/AI concepts to real-world products responsibly. Preferred Qualifications: * Proficiency with Python (or R) for analysis. * Experience ...

Meta

Data Analyst, Global Operations

Seattle, WA

$125K/yr

As a data analyst in global operations, you'll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Exposure to AI/ML product metrics or analytics supporting data engineering and AI workflows. * Strong understanding of statistical experimentation, A/B testing frameworks, and predictive modeling.

Coupang Internal

Senior Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

Exposure to AI/ML product metrics or analytics supporting data engineering and AI workflows. * Strong understanding of statistical experimentation, A/B testing frameworks, and predictive modeling.

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Exposure to AI/ML product metrics or analytics supporting data engineering and AI workflows. * Strong understanding of statistical experimentation, A/B testing frameworks, and predictive modeling.

YO AI Labs

Data Privacy Analyst - Remote

Seattle, WA · Remote

$31 - $60/hr

Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting sensitive information. In this role, you will review ...

YO AI Labs

Data Privacy Analyst - Remote

Seattle, WA · Remote

$31 - $60/hr

Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting sensitive information. In this role, you will review ...

Meta

Energy Analyst, Data Center Portfolio

Seattle, WA · On-site +1

$132K/yr

Energy Analyst, Data Center Portfolio Responsibilities: * Analyze electric tariffs and wholesale ... Create scalable AI-native analytical tool to improve efficiency and accuracy Minimum Qualifications ...

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All JobsData Analyst Ai JobsData Analyst Ai Jobs in Bothell, WA

Data Analyst Ai information

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$38K

$92.4K

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How much do data analyst ai jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data analyst ai in Bothell, WA is $92,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $108,400.00 per year, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

What job categories do people searching Data Analyst Ai jobs in Bothell, WA look for?

The top searched job categories for Data Analyst Ai jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Data Analyst Ai jobs?

Cities near Bothell, WA with the most Data Analyst Ai job openings:

Data Analyst Ai jobs near you
Infographic showing various Data Analyst Ai job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $92,382 per year, or $44.4 per hour.

Data Analyst, People Analytics

Redmond, WA • On-site

Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Microsoftexternal

$113K - $187K/yr

Full-time

Posted 21 days ago

Key responsibilities

  • Build and extend the people-analytics MCP server by adding datasets, improving answer quality, and reducing response times.

  • Diagnose and fix bugs in AI tools, and perform rigorous testing before deployment.

  • Partner with the team to build and test GitHub Copilot skills that encode analytical methods.

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

71st of 247 rated software companies

Job description

Overview
Are you an analyst who's found you'd rather build the tools than run the reports? Do you get energy from new AI technology and from helping the people around you get better at using it? We're looking for someone to do exactly that, in the context of Microsoft's biggest asset: our people.
This is a great opportunity to join Microsoft's People Analytics team as we build the AI systems that put trusted, self-serve people-data answers in the hands of the whole HR community. Our thesis is simple: AI handles the breadth so our people can go deeper - self-serve answers the common questions, and we move up the stack to judgment, methodology, and trust. We don't just answer analytical questions; we encode how our analysts think into AI-ready skills and tools so every answer is consistent, governed, and trustworthy.
In this role you'll be hands-on building capacity across our team: using GitHub Copilot to add capabilities to our AI tools, improve how they perform, and fix what's broken, while staying embedded with the analysts who use them, so what we build reflects what they actually need and reaches people at scale. As a super-user of tools like Cowork, Scout, and GitHub Copilot, you'll also work directly with the product groups behind them, sharing feedback that shapes the roadmap of Microsoft's own AI products. You'll work alongside fellow "learn-it-all" builders who are passionate about their work and eager to collaborate, and you'll help bring the broader People Analytics team along as we all learn to work in new ways.
This is not a traditional analyst role - you won't be producing analyses or reports. Instead, you'll use your analytical background to build the tools that let others get those answers themselves, and to be the voice of the analyst inside our team.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
  • Build and extend our people-analytics MCP server: add new datasets, improve answer quality, and cut response times.

  • Diagnose and fix bugs across our AI tools, and test rigorously before things ship.

  • Partner across the People Analytics team to build and test GitHub Copilot skills that encode analytical methods.

  • Prototype new solutions as opportunities emerge across our workstreams, partnering with senior teammates and adapting quickly as priorities shift in a fast-moving, still-forming space.

  • Stay embedded with analysts: learn where the tools fall short and turn that feedback directly into improvements that people actually adopt.

  • Help others level up: share what you learn, teach new AI tools and techniques, and contribute to a growing skills community across the team.

  • Build responsibly with sensitive people data: bake confidentiality, access, and guardrails into what you ship, and handle governed data with strict adherence to privacy requirements and appropriate legal reviews.

Qualifications
Required Qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.

Preferred Qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 3+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.

Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $86,100 - $169,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $113,300 - $187,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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