Top 665 Data engineer, product analytics Jobs in Everett Wa

Data Analyst, People Analytics
Microsoft —Redmond, WA
- $86,100 - $187,400 a year
- Full-time
- Computer Science
- Mid-level
- Business
20h
Data Engineer, Product Analytics
Meta —Redmond, WA
- $147,000 - $208,000 a year
- Computer science
- Computer Science
- System design
Digital Engineer Analytics 1
Community Transit —Everett, WA
- $101,355 - $152,033 a year
- Full-time
- Background check
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
Quick Apply
Data Engineer
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Azure
- Computer Science
Data Engineer II
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Computer Science
- Mid-level
2d
Senior Amazon Content & SEO Specialist
Bayland Health —Bellevue, WA
- $85,000 - $95,000 a year
- Full-time
- Writing skills
- English
- Office
- Free parking
- Paid holidays
Quick Apply
AVP, Officer Commercial Lines Underwriting Leader
Western National Group & Umialik Insurance —Seattle, WA
- $200,000 - $240,000 a year
- Full-time
- Office
- Finance
- Supervising experience
- Paid parental leave
- Health savings account
Quick Apply
Marketing Specialist
SUNRISE SERVICES INC —Everett, WA
- $28 - $36 an hour
- Part-time
- Marketing
- Writing skills
- Mid-level
- Health savings account
- AD&D insurance
7d
ERP Senior System Administrator
Electric Mirror LLC —Everett, WA
- $115,000 - $135,000 a year
- Computer science
- Computer Science
- SQL
- Health insurance
- Dental insurance
Quick Apply
Selector
Capstone Logistics LLC —Arlington, WA
- $704 - $1,210 a week
- Heavy lifting
- Mid-level
- Office
- Paid training
Quick Apply
E-commerce Operations Analyst (Mandarin Preferred)
DDT INC —Redmond, WA
- $65,000 - $90,000 a year
- Full-time
- Background check
- Computer Science
- Sales
- Health insurance
- Dental insurance
Quick Apply
Enterprise Quality Assurance Manager/Team Leader
GESA CREDIT UNION —Lynnwood, WA
- $97,069.57 - $183,843.88 a year
- Full-time
- Background check
- Computer Science
- 3 years
- Commuter assistance
- Paid holidays
Senior Business Analytics Specialist
Microsoft —Redmond, WA
- $106,400 - $222,600 a year
- Full-time
- Computer Science
- Marketing
- 3 years
Senior Data Engineer
Microsoft —Redmond, WA
- $119,800 - $261,000 a year
- Full-time
- Computer Science
- 3 years
- Master's degree
2d
Software Engineer II, Data Intelligence
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Relocation assistance
- Work from home
Data Analyst
MAGNIX USA INC —Everett, WA
- $90,000 - $130,000 a year
- Full-time
- Background check
- Mid-level
- Office
- AD&D insurance
- Paid holidays
Quick Apply
Data Scientist
Adobe —Seattle, WA
- $133,100 - $236,400 a year
- Full-time
- Mid-level
- Fair chance
- 2 years
11d
Digital - Senior Analytics Engineer/Analytics Engineer, Digital Technology
Aritzia —Seattle, WA
- $100,000 - $300,000 a year
- Full-time
- Computer science
- Computer Science
- Office
9d
Staff Data Engineer
Coupang —Redmond, WA
- $164,000 - $282,000 a year
- Computer science
- Computer Science
- 8 years
- Commuter assistance
- Paid parental leave
Quick Apply
Jr. Azure Developer
Sonoma Consulting Inc. —Redmond, WA
- Mid-level
- Bachelor's degree
- US work authorization
Quick Apply

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data engineer, product analytics jobs near everett wa

Data Analyst, People Analytics

Microsoft -
Redmond, WA

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Job Details

Full-time
$86,100 - $187,400 a year
20 hours ago

Qualifications

AI use case identification
Economics
Data compliance
Master's degree in business
Statistics
Data analysis reporting
Computer Science
Data privacy compliance management
Bachelor's degree in statistics
Tooling
HR analytics
AI tools proficiency
Bachelor's degree in business
Mathematics
Bachelor's degree in economics
Mid-level
Collaboration with product development teams
Bachelor's degree in engineering
Prototype creation
Master's degree in statistics
GitHub
Master's degree in mathematics
Master's degree in computer science
Data science
Bachelor's degree in mathematics
Master's degree in engineering
Business
Bachelor's degree in computer science
2 years
Prototypes

Full 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.

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Refine Your Search

data engineer, product analytics jobs in everett wa

Data Analyst, People Analytics

Data Engineer, Product Analytics

Digital Engineer Analytics 1

Data Engineer

Data Engineer II

Senior Amazon Content & SEO Specialist

AVP, Officer Commercial Lines Underwriting Leader

Marketing Specialist

ERP Senior System Administrator

Selector

E-commerce Operations Analyst (Mandarin Preferred)

Enterprise Quality Assurance Manager/Team Leader

Senior Business Analytics Specialist

Senior Data Engineer

Software Engineer II, Data Intelligence

Data Analyst

Data Scientist

Digital - Senior Analytics Engineer/Analytics Engineer, Digital Technology

Staff Data Engineer

Jr. Azure Developer

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