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Amazon Data Analytics Jobs (NOW HIRING)

True Classic

Data & Analytics Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

The role involves building and maintaining data pipelines, supporting analytics engineering ... Amazon data • Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale) • Omni ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning their data platform ... Amazon data • Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale) • Omni ...

Amazon

Finance Manager, Amazon Devices

Seattle, WA

Develop scalable solutions that utilize the highest standards of analytical rigor and data integrity. Learn and understand a broad range of Amazon's data resources and know how, when, and which to ...

Amazon

Finance Manager, Amazon Devices

Seattle, WA

Develop scalable solutions that utilize the highest standards of analytical rigor and data integrity. Learn and understand a broad range of Amazon's data resources and know how, when, and which to ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform ... Daasity, Shopify/Amazon data * Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale)

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All JobsAmazon Data Analytics Jobs

Amazon Data Analytics information

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$21.5K

$83.7K

$175.5K

How much do amazon data analytics jobs pay per year?

As of Jun 10, 2026, the average yearly pay for amazon data analytics in the United States is $83,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $116,500.00 per year, depending on experience, location, and employer.

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.

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.
More about Amazon Data Analytics jobs
What cities are hiring for Amazon Data Analytics jobs? Cities with the most Amazon Data Analytics job openings:
What states have the most Amazon Data Analytics jobs? States with the most job openings for Amazon Data Analytics jobs include:
What job categories do people searching Amazon Data Analytics jobs look for? The top searched job categories for Amazon Data Analytics jobs are:
Amazon Data Analytics jobs near you
Infographic showing various Amazon Data Analytics job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $83,718 per year, or $40.2 per hour.
Senior Technical Program Manager, Amazon Global Data Center Ops Central Insight and Analytics Team

Senior Technical Program Manager, Amazon Global Data Center Ops Central Insight and Analytics Team

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,833 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

About the Role
We are looking for a Senior Technical Program Manager to establish and lead delivery management for GDCO's Data & Analytics organization. This is a foundational role - you will be the dedicated TPM on a team of data engineers, analytics engineers, BI engineers, applied scientists, and SDEs who provide data intelligence for Amazon's global data center operation organization.
This is not a program management role where you own a specific technical deliverable. This is a delivery leadership role where you own the system by which the team ships work reliably, communicates proactively, and earns trust from operational leaders across the globe.
What You'll Do
Delivery Management & Execution:
  • Establish and own the end-to-end delivery framework: intake process, prioritization methodology, capacity planning, sprint/delivery cadence, and release management for the full data & analytics team
  • Define and track SLA commitments for all major workstreams - ensuring the team delivers on time or communicates proactively when timelines shift
  • Manage the team's backlog - driving prioritization decisions with leadership and ensuring high-value work is not blocked by low-value requests

Stakeholder Management & Communication:
  • Serve as the primary delivery interface between the data team and its customers
  • Own the stakeholder communication cadence: proactive status updates, escalation paths, and expectation management when priorities shift or timelines change
  • Translate technical delivery status into business-relevant updates for non-technical leaders

Cross-Team Coordination:
  • Coordinate across several functional pods (Embedded Analytics, Self-Service Platform Engineering, Data Quality, Science) to manage dependencies, resolve blockers, and ensure cross-pod work ships cohesively
  • Partner with the Embedded Analytics Manager to define the operating rhythm between embedded analysts and program teams they serve

Key job responsibilities
  • Intake & Prioritization Framework - how work enters the team, how it's prioritized, and how decisions are made when demand exceeds capacity
  • Delivery SLAs & Quality Standards - the commitments we make to customers and the gates that ensure we meet them
  • Stakeholder Communication Cadence - the rhythm and channels through which customers get transparency into our work
  • Dependency & Risk Management - tracking cross-team dependencies (especially Boost migration) and surfacing risks before they become blockers
  • Delivery Metrics & Reporting - measuring and reporting on the team's delivery health to leadership
  • Backlog Health - ensuring the backlog is prioritized, sized, and aging is managed

About the team
GDCO (Global Data Center Operations) operates Amazon's worldwide fleet - the physical infrastructure that powers AWS, Prime, Alexa, and every Amazon service. Our Data & Analytics team as a thought partner with all stakeholders and customers - provides the intelligence layer: operational metrics, diagnostic analytics, predictive models, and AI-ready data infrastructure that drives critical business decisions.
BASIC QUALIFICATIONS
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
  • 5+ years of working directly with engineering teams experience
  • Experience establishing delivery processes for mid-to-large size technical teams (intake, prioritization, SLAs, quality gates)
  • Experience managing programs with multiple concurrent workstreams and cross-functional dependencies
  • Experience communicating technical delivery status to senior non-technical stakeholders (Director/VP level)
  • Experience with data engineering or analytics ecosystems (ETL pipelines, data warehouses, BI tools, dashboards)

PREFERRED QUALIFICATIONS
  • Master's degree in a technical field, or Master of Business Administration
  • Experience in data center operations, infrastructure, or field operations environments
  • Experience managing delivery for teams undergoing organizational transformation (new operating models, new team structures)
  • Experience with embedded analytics or data science teams - understanding how to measure impact beyond artifact delivery
  • Familiarity with Amazon data tools (QuickSight, Athena, Redshift, SageMaker, Glue) or equivalent
  • Experience with agile delivery at scale (SAFe, Scrum of Scrums, or similar)
  • Experience with capacity planning and resource optimization across multiple concurrent programs

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 - 148,700.00 - 201,200.00 USD annually

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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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