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Amazon Data Analytics Jobs in Renton, WA (NOW HIRING)

Amazon

Finance Manager, US 3P Finance

Seattle, WA · On-site

Oracle, SAP, Lawson, JD Edwards) - Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results Amazon is an equal opportunity employer and does not ...

Amazon

Business Intel Engineer II - AMZ27162.1

Seattle, WA · On-site

$106K - $160K/yr

... large scale data analyses, model development, model validation, and model implementation. (40 hours / week, 8:00am-5:00pm, Salary Range $106400 - $160000) Amazon.com is an Equal Opportunity ...

Amazon

Data Analyst, MFN RCX

Bellevue, WA · On-site

In the Worldwide Returns & ReCommerce (WWRR) group at Amazon, we are dedicated to 'making zero ... Use analytics and data mining techniques to solve complex problems and drive business decisions.

Amazon

Data Analyst, MFN RCX

Bellevue, WA

In the Worldwide Returns & ReCommerce (WWRR) group at Amazon, we are dedicated to 'making zero ... Use analytics and data mining techniques to solve complex problems and drive business decisions.

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Amazon Data Analytics information

How does an Amazon Data Analytics professional typically collaborate with cross-functional teams to drive business decisions?

Amazon Data Analytics professionals regularly work with teams such as product management, engineering, marketing, and operations to translate data insights into actionable strategies. They participate in meetings to understand business objectives, design analytical solutions, and present findings in a clear, business-friendly manner. This collaborative approach ensures that data-driven recommendations align with organizational goals and helps stakeholders make informed decisions. Effective communication and the ability to explain complex data concepts to non-technical colleagues are key skills in this role.

What is Amazon Data Analytics?

Amazon Data Analytics refers to the suite of tools, services, and practices offered by Amazon Web Services (AWS) that enable organizations to collect, process, analyze, and visualize large volumes of data. This includes services like Amazon Redshift, AWS Glue, Amazon Athena, and Amazon QuickSight, which help users turn raw data into actionable insights. Professionals in Amazon Data Analytics roles are responsible for building data pipelines, optimizing data storage, and ensuring data quality to support business decision-making. These roles require skills in data engineering, statistical analysis, and cloud computing technologies.

How much does Amazon pay a Data Analyst?

Amazon Data Analysts typically earn an average salary ranging from $70,000 to $110,000 annually, depending on experience, location, and level of seniority. Entry-level roles may start lower, while experienced analysts with advanced skills in SQL, Python, or Tableau can earn higher salaries. Compensation packages often include benefits such as health insurance and performance bonuses.

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

AspectAmazon Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related; Amazon-specific toolsBachelor's in Statistics, Mathematics, or related; general analytics tools
Work EnvironmentAmazon warehouses, cloud platforms, e-commerce settingsOffices, corporate settings, various industries
Employer & Industry UsageAmazon's e-commerce, logistics, cloud servicesMultiple industries including finance, healthcare, retail
Common Search & ComparisonYesYes

Amazon Data Analytics professionals focus on analyzing data within Amazon's ecosystem, utilizing Amazon-specific tools and working in e-commerce or logistics environments. Data Analysts have a broader scope across industries, using general analytics tools. Both roles require strong analytical skills, but Amazon Data Analytics roles often demand familiarity with Amazon's platforms and cloud services.

What are the key skills and qualifications needed to thrive as an Amazon Data Analytics professional, and why are they important?

To thrive as an Amazon Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, AWS services (e.g., Redshift, Athena), Python, and data visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, clear communication, and the ability to interpret and present complex data insights are valuable soft skills. These competencies enable professionals to derive actionable business insights, support data-driven decisions, and drive operational efficiency within Amazon's fast-paced environment.

Will Amazon pay you $28 an hour to work from home?

Amazon Data Analytics roles can offer pay rates around $20 to $30 per hour, depending on experience and location. These positions often involve remote work, require analytical skills, and may include benefits such as flexible schedules. Actual pay varies based on the specific role, level, and individual qualifications.

How to become a Data Analyst at Amazon?

To become a Data Analyst at Amazon, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science. Relevant skills include proficiency in SQL, Excel, and data visualization tools like Tableau or Power BI, along with experience in analyzing large datasets. Gaining certifications in data analytics or related areas can also improve chances of selection.

What does a Data Analyst do for Amazon?

A Data Analyst at Amazon collects, analyzes, and interprets large datasets to support business decision-making. They use tools like SQL, Excel, and data visualization software to identify trends, improve processes, and optimize customer experiences. Strong analytical skills and knowledge of data management are essential for this role.
What job categories do people searching Amazon Data Analytics jobs in Renton, WA look for? The top searched job categories for Amazon Data Analytics jobs in Renton, WA are:
What cities near Renton, WA are hiring for Amazon Data Analytics jobs? Cities near Renton, WA with the most Amazon Data Analytics job openings:
Amazon Data Analytics jobs near you
Infographic showing various Amazon Data Analytics job openings in Renton, WA as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.
Data Engineer I, Amazon Publisher Monetization, Analytics

Data Engineer I, Amazon Publisher Monetization, Analytics

Amazon

Seattle, WA

$130K - $156K/yr

Full-time

Posted 14 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,002 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Amazon Publisher Monetization (APM) team is shaping the future of monetization for Amazon's advertising-supported publishers (e.g., Prime Video, Twitch, Fire TV, Amazon Stores, Audio). Our mission is to build Earth's most customer-centric advertising services.
Driving long-term growth for our ad-supported media services requires striking a balance between providing an experience customers will love and creating products that advertisers want to buy (brand safe, relevant audience, etc.). The data foundations that power these decisions - pipelines, models, quality frameworks - are what make trusted insights possible at scale

We're looking for a Data Engineer to build and operate these foundations across APM's publisher portfolio, ensuring that every insight delivered to business teams is grounded in reliable, well-modeled data.
Key job responsibilities
- Design, build, and optimize data models and end-to-end data pipelines across APM's publisher data leveraging AWS services (such as Redshift, EMR, Airflow, Kinesis, Lambda) and internal Amazon tools
- Implement and test data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics tools
- Measure and improve data quality across the datasets you own - investigating anomalies, troubleshooting pipeline issues, and ensuring reliability
- Collaborate with business stakeholders to understand data requirements and translate them into trusted, well-modeled data products
- Improve existing solutions and contribute to next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security
- Work alongside other data engineers, business intelligence engineers, and scientists to support business decisions across APM
A day in the life
You'll build data products that feed both human analysts and AI-powered analytics agents, leverage LLMs and generative AI tools to accelerate your own development workflows, and help move the team from manual pipeline operations toward automated, self-healing data infrastructure. You'll work across two tracks: building scalable data infrastructure, and partnering with business teams to understand what decisions they need to make and delivering the data products that enable them. You may lean toward one track more than the other, and that's great - we're looking for someone with strong fundamentals who can contribute meaningfully in either direction.
About the team
The APM Agentic Insights team builds scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization (APM).

What Amazon employees say

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About Amazon

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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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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