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Analytics Manager Jobs in Maple Valley, WA (NOW HIRING)

Description The Apple Music Analytics QA team is seeking a highly organized and motivated Quality Manager to support one of the fastest growing areas of Apple. We are looking for candidates with a ...

As Director of Analytics, you will lead the vision, strategy, and execution that transform data ... Manage key vendor and technology partnerships to optimize platform performance, cost efficiency ...

As Director of Analytics, you will lead the vision, strategy, and execution that transform data ... Manage key vendor and technology partnerships to optimize platform performance, cost efficiency ...

Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership ...

Experience with using SQL, BI and analytics tools Benefits & Perks * Salary Range = 126k - 176k USD ... Fandom's Gaming division manages the online video game retailer Fanatical. Fandom Productions, the ...

Senior FP&A Manager

Bellevue, WA · Hybrid

$123K - $167K/yr

Build and improve upon reporting of financial statements, internal analytics, and management presentations. * Evaluate and improve FP&A processes to drive efficiency, accuracy, and scalability.

Showing results 41-60

Analytics Manager information

See Maple Valley, WA salary details

$74.6K

$145K

$207.1K

How much do analytics manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for analytics manager in Maple Valley, WA is $144,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $172,400.00 per year, depending on experience, location, and employer.

What is an analytics manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

How does an analytics manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an analytics manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

What are the most commonly searched types of Analytics jobs in Maple Valley, WA?

The most popular types of Analytics jobs in Maple Valley, WA are:

What cities near Maple Valley, WA are hiring for Analytics Manager jobs?

Cities near Maple Valley, WA with the most Analytics Manager job openings:

Infographic showing various Analytics Manager job openings in Maple Valley, WA as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $144,986 per year, or $69.7 per hour.

Senior Manager, Data Science and Analytics, Prime Video Personalization & Analytics

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,157 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Interested in influencing what customers around the world see when they turn on Prime Video? The Prime Video Personalization and Discovery team matches customers with the right content at the right time, at all touch points throughout the content discovery journey.
We are looking for a customer-focused, solutions-oriented Sr Manager Data Science and Analytics to develop next-gen measurement and experimentation systems within Prime Video Personalization and Discovery. You'll lead an embedded science and business intelligence team driving projects across product and engineering teams that ultimately influence what millions of customers around the world see when the log into Prime Video.
The ideal candidate brings experience leading experiment-based measurement and business intelligence engineering systems, excellent stakeholder communication skills, and the ability to balance technical rigor with delivery speed and customer impact. You will build cross-functional support within Prime Video for high-quality, rigorous measurement, assess business problems, and support iterative scientific solutions that balance short-term delivery with long-term science roadmaps.
Key job responsibilities
Key job responsibilities
- Build and manage a team of Data Scientists, BI Engineers and Data Engineers
- Define and drive the multi-year vision for business intelligence, experimentation and measurability in Prime Video
- Partner with product stakeholders and science peers to identify strategic data-driven opportunities to improve the customer experience
- Communicate findings, conclusions, and recommendations to technical and non-technical business leaders across Prime Video
- Educate senior leaders about and advocate for high-quality measurement as an input to data-driven decisions
- Mentor junior scientists, BI Engineers and review technical artifacts to ensure quality
- Stay up-to-date on the latest data science, measurability, AI tools, techniques, and best practices and help evangelize them across the organization
BASIC QUALIFICATIONS
- Bachelors' degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field
- 11+ years of BI + Data Science experience
- Competency in data querying languages (e.g. SQL) and scripting languages (e.g. Python)
- Experience with statistical models (e.g., logistic regression. supervised learning approaches)
- Expertise with online experimentation systems
- Experience building data science, analytics and experimentation science capabilities and teams
PREFERRED QUALIFICATIONS
- Masters Degree in Data Science or related field
- Experience designing and building large-scale online measurement systems
- Excellent communications with non-technical executive audiences
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 - 208,300.00 - 281,800.00 USD annually

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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