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

Amazon

Data Engineer, Amazon Fuse

Seattle, WA

$130K - $156K/yr

Amazon Fuse ( helps third party subscription-based businesses better serve their customers by ... The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and ...

Amazon

Data Engineer, Amazon Fuse

Seattle, WA

$130K - $156K/yr

Amazon Fuse ( helps third party subscription-based businesses better serve their customers by ... The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and ...

Amazon

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

Amazon Fuse ( helps third party subscription-based businesses better serve their customers by ... The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and ...

Amazon

Finance Manager, US 3P Finance

Seattle, WA

Amazon seeks an experienced Finance Analyst to serve as a lead contributor on the Merchant ... You will be gathering seller and operational insights, mining data, making recommendations, and ...

Amazon

Finance Manager, US 3P Finance

Seattle, WA

Amazon seeks an experienced Finance Analyst to serve as a lead contributor on the Merchant ... You will be gathering seller and operational insights, mining data, making recommendations, and ...

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 ...

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Amazon Data Analytics information

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 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 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.

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 is the salary of Amazon Data Analytics?

The salary for Amazon Data Analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and specific responsibilities. Entry-level positions may start lower, while experienced analysts with skills in SQL, Python, and data visualization tools can earn higher salaries.

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 August 2026, with employment types broken down into 77% Full Time, 12% Part Time, and 11% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution.

Data Engineer, Amazon Fuse

Seattle, WA

Amazon
IT Services • 10K+ employees
Learn more about Amazonexternal

$130K - $156K/yr

Full-time

Re-posted 22 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,180 frontline employees who took The Breakroom Quiz

Job description

Are you interested in using AI and data to drive the next phase of Amazon's growth?
Amazon Fuse (https://www.amazonfuse.com/) helps third party subscription-based businesses better serve their customers by offering the selection, convenience and value customers have come to know and love from Amazon, including millions of Prime products and our full catalog of Prime Video.
The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and direction using data insights. The ideal candidate is data-curious and possesses a strong analytical mindset. They excel at communicating with stakeholders and turning ambiguity and conjecture into actionable recommendations

They find opportunities where data will lead to better outcomes and mobilize the DA team to meet them.
In this role, you will be a technical expert with growing scope and impact. You will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as fellow Data Engineers and BI Engineers to build new data pipelines and datasets that optimize for business impact. We are seeking someone who can thrive in a fast-paced, high-energy work environment where we add value incrementally and frequently

We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who think like owners to develop themselves, their colleagues, and their team.
You use AI tools (e.g., coding assistants, generative AI) to accelerate pipeline development, improve code quality, and automate repetitive data engineering tasks while building and maintaining data pipelines that power AI-driven products and proactively identifying opportunities to embed AI into data workflows such as data validation, transformation logic, and documentation.
Key job responsibilities
- Architect, develop, and maintain scalable data infrastructure and data pipelines, leveraging AI tools to accelerate development and improve code quality.
- Extract, transform, and load data from a variety of sources using SQL, scripting, and AWS big data technologies.
- Design and implement ETL pipelines and BI solutions, identifying opportunities to embed AI into data workflows such as data validation and transformation logic.
- Collaborate with business owners, SDEs, and BI Engineers to explore new data sources and deliver insights.
- Stay up to date with advancements in big data and AI technologies and contribute to pilot projects.
- Proactively identify and resolve data-related issues reducing operational load on the team, using AI-assisted automation where applicable.

What Amazon employees say

Pay

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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