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

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.

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.

The analyst will work across multiple data sources to surface trends, quantify impact, and enable ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

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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:
Infographic showing various Amazon Data Analytics job openings in Renton, WA as of June 2026, with employment types broken down into 51% Full Time, 47% Part Time, and 2% Temporary. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Software Development Engineer, Open Data Analytics - Engines

Software Development Engineer, Open Data Analytics - Engines

Amazon

Redmond, WA • On-site

$128K - $154K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,921 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Web Services Open Data Analytics (ODA) organization is looking for exceptional engineers to help in our mission to provide the world's best cloud Big Data processing platform and services such as EMR and Athena.
The ODA engines team is looking for an experienced engineer to join the core engines and datalake team.
Athena and EMR are services that our customer use to run large scale analytics, leveraging open source engines like Apache Spark and Trino, with datalake open table formats like Apache Iceberg, Hudi and Delta. The analytics engines organization makes significant modifications to these engines to run in serverless environments and with superior performance and scalability than what is available in Open Source. In the last 3 years we have improved our engines by a factor of 5x by making changes to the optimizer, query runtime and storage connectors

We have also made significant changes to the compiler to enable enterprise features like fine grain access control with these engines and table formats. Additionally, we strive to regularly contribute features, bug fixes and optimizations back to open-source, as well be current with the latest open-source versions of these frameworks. This is a "must-win" strategic area in a growing and very technical space.
We are seeking a passionate and hands-on engineer to collaborate closely with open-source communities like Apache Iceberg and Apache Spark, driving innovations in query engines and table format integrations

In this role, you will focus on performance optimizations, feature enhancements, stability improvements, and security hardening, making deep contributions across the query engine and table format codebases.
As a key member of the Engines team, you will shape the technical direction, influence design decisions, implement critical features, and foster collaboration with both internal teams and the open-source community.
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Key job responsibilities
- Develop and optimize core components of query engines and open table formats (Iceberg, Hudi, Delta) to enhance performance, scalability, and reliability.
- Design and implement innovative solutions and algorithms to improve feature capabilities, stability, and security in table format integrations with query engines.
- Collaborate with the open-source community, contributing to discussions, driving improvements, and integrating upstream changes.
- Ensure data consistency and durability while achieving breakthrough performance and scalability for large-scale data lake workloads.
- Improve the organizations automation and testing capabilities.
- Manage complex deliverables project and research projects with deadlines.
- Mentor and train other team members on design techniques and coding best practices.
- Be a point of contact for challenging customer issues related to data lake workloads and query engine.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture

When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud


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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