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

Amazon

Data Engineer III - AMZ10212104

Seattle, WA · On-site

$162K - $209K/yr

... analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle. Amazon.com is an Equal Opportunity-Affirmative Action ...

Amazon

Finance Manager, US 3P Finance

Seattle, WA · On-site

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

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 ...

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 ...

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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 80% Full Time, 8% Part Time, and 12% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution.

Data Engineer - Finance Technology, Finance Technology

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 29 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,107 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Are you passionate about data. Does the prospect of dealing with massive volumes of data excite you. Do you want to build data engineering solutions that process billions of records a day in a scalable manner using AWS technologies.

Do you want to build the next-generation system for intuitive data access?
Amazon's Finance Technology team is seeking truly innovative Data Engineer to join the team that is shaping the future of the finance/accounting systems. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time) and is a passionate about data and analytics. Amazon has culture of data-driven decision-making, and demands data that is timely, accurate, and actionable, to meet that need you will work with customers, design and develop data solutions that facilitate and influence day to day decision making.
As a Data Engineer, we expect you to have expertise with data warehousing technical components (e.g

Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud)

You are expected to have experience with design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform.

Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
Key job responsibilities
Design, implement, and support a platform providing secured access to large datasets
Interface with Tax, Finance and Accounting customers, gathering requirements and delivering end-to-end BI solutions
Model data and metadata to support ad-hoc and pre-built reporting
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Tune application and query performance using profiling tools and SQL
Analyze and solve problems at their root, stepping back to understand the broader context
Learn and understand a broad range of Amazon's data resources and know when, how, and which to use
Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS services
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets
Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment

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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