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Data Analytics Manager Jobs in Seattle, WA (NOW HIRING)

Workiva

Spring 2027 Intern - Data Analytics

Bellevue, WA · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

New

Workiva

Spring 2027 Intern - Data Analytics

Tacoma, WA · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

New

Workiva

Spring 2027 Intern - Data Analytics

Seattle, WA · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

New

Workiva

Spring 2027 Intern - Data Analytics

Seattle, WA · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

New

Workiva

Spring 2027 Intern - Data Analytics

Tacoma, WA · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

New

Workiva

Spring 2027 Intern - Data Analytics

Bellevue, WA · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

New

Microsoft

Data Analyst, People Analytics

Redmond, WA · On-site

$113K - $187K/yr

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 ...

Pwc

Data Strategy-Manager

Seattle, WA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

US General Services Administration

Data Analyst

Tacoma, WA · On-site

$106K/yr

... Management programs by providing data analytics, reporting, business intelligence, and decision-support capabilities. Location of position: Federal Acquisition Services (FAS), Office of Shared Shared ...

ASR INTERNATIONAL

Program / Data Analyst

Silverdale, WA · On-site

$42 - $48/hr

Perform data analytics related to Key Performance Indicators (KPIs) and financial metrics for ... Minimum of five (5) years of financial management experience in a field related to construction ...

Pwc

Data Governance- Manager

Seattle, WA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Seattle, WA

Data Analytics Manager information

See Seattle, WA salary details

$35.3K

$110.6K

$195.8K

How much do data analytics manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analytics manager in Seattle, WA is $110,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $142,900.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Seattle, WA?

The most popular types of Data Analytics jobs in Seattle, WA are:

What are popular job titles related to Data Analytics Manager jobs in Seattle, WA?

For Data Analytics Manager jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Seattle, WA look for?

The top searched job categories for Data Analytics Manager jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Analytics Manager jobs?

Cities near Seattle, WA with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Seattle, WA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $110,616 per year, or $53.2 per hour.

Data Engineer, WW Pricing - Data & Analytics

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,144 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

WW Pricing drives the success of Amazon Retail and 3P Pricing. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently delivering the lowest prices possible: we price and publish prices automatically for the millions of products bought worldwide every day by our customers.
You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
As a Data Engineer, you will create data models and ML data infrastructure that power our pricing algorithms and shape both customer and seller experiences. You'll develop essential data flows that keep our systems running smoothly while uncovering valuable insights that drive customer and seller success. You'll be developing GenAI based solutions to improve the operational and reporting efficiency.
This job is for you if you are passionate about working with the largest and most complex data to optimize service performance. You will own the models and processes for collecting and transforming data, and work within the Pricing software engineering teams to drive the resulting business initiatives. You will learn the customer's intentions, and support us in understanding them as we take our business to the next level.
Key job responsibilities
- Architecture design and implementation of next generation data pipelines and BI solutions
- Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

What Amazon employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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