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Day Amazon Data Analyst Jobs (NOW HIRING)

We are constantly innovating to create long-term value at Amazon by investing in the future and ... data analysis using MS Excel and other Microsoft Office tools PREFERRED QUALIFICATIONS - Experience ...

We are looking for an experienced Data Analyst to join the Returns Customer Experience team to help ... At Amazon Worldwide Returns & ReCommerce (WW R&R), we aspire to zero: zero cost of returns, zero ...

We are looking for an experienced Data Analyst to join the Returns Customer Experience team to help ... At Amazon Worldwide Returns & ReCommerce (WW R&R), we aspire to zero: zero cost of returns, zero ...

... and smiles to Amazon customers every day. We are looking for motivated, customer-focused ... and excellent data dive deep skills. This job will require exceptional communication and ...

... day-to-day operations. You will partner with cross-functional stakeholders, including the trading ... Using platforms like Snowflake, Amazon Redshift, and SQL Server, you will help develop scalable ...

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... day-to-day operations. You will partner with cross-functional stakeholders, including the trading ... Using platforms like Snowflake, Amazon Redshift, and SQL Server, you will help develop scalable ...

New

Advanced SQL skills with experience working on cloud data warehouses such as Amazon Redshift ... Strong analytical and problem-solving skills with attention to detail and data accuracy * Ability ...

Advanced SQL skills with experience working on cloud data warehouses such as Amazon Redshift ... Strong analytical and problem-solving skills with attention to detail and data accuracy * Ability ...

New

Advanced SQL skills with experience working on cloud data warehouses such as Amazon Redshift ... Strong analytical and problem-solving skills with attention to detail and data accuracy * Ability ...

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Day Amazon Data Analyst information

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$34K

$82.6K

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How much do day amazon data analyst jobs pay per year?

As of Jun 17, 2026, the average yearly pay for day amazon data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are some typical challenges a Day Amazon Data Analyst might face, and how can they address them?

A Day Amazon Data Analyst often encounters challenges such as handling large volumes of complex data, ensuring data accuracy, and meeting tight deadlines for reporting and analysis. To address these, it's important to develop strong data validation processes, maintain clear communication with stakeholders, and continuously improve technical skills in tools like SQL and Excel. Collaborating closely with cross-functional teams helps to clarify data requirements and prioritize projects effectively, making it easier to deliver actionable insights that drive business decisions.

How much does Amazon pay a data analyst?

Amazon data analysts typically earn an average salary ranging from $70,000 to $110,000 per year, depending on experience, location, and level. Entry-level roles may start lower, while experienced analysts or those in senior positions can earn higher salaries, often supplemented with benefits and bonuses.

Can I work 4 hours at Amazon?

As a Day Amazon Data Analyst, work hours typically depend on the company's scheduling needs and the specific role. Part-time shifts, including 4-hour shifts, may be available depending on the department and project requirements, but full-time positions usually involve longer hours. It is best to check the specific job posting or contact Amazon's HR for precise scheduling options.

What are Day Amazon Data Analysts?

Day Amazon Data Analysts are professionals who specialize in analyzing and interpreting data during daytime business hours at Amazon. They use various data analytics tools and techniques to identify trends, monitor business performance, and generate actionable insights that support decision-making across different departments. Their responsibilities may include creating reports, visualizing data, and collaborating with teams to optimize operations, improve customer experience, and drive business growth. These analysts typically have strong skills in statistics, data management, and business intelligence software.

What is the day-to-day job of a data analyst?

A data analyst's daily tasks include collecting, cleaning, and analyzing data to identify trends and insights. They use tools like Excel, SQL, or data visualization software to create reports and support decision-making processes within an organization.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting results, understanding context, and making informed recommendations in data analysis roles.

What are the key skills and qualifications needed to thrive as a Day Amazon Data Analyst, and why are they important?

To thrive as a Day Amazon Data Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of statistics, often supported by a degree in a quantitative field. Familiarity with SQL, Excel, Python or R, and Amazon's proprietary data systems like Redshift or QuickSight is typically required. Attention to detail, problem-solving abilities, and effective communication help analysts interpret data and present actionable insights to stakeholders. These skills ensure accurate analysis, drive data-informed decisions, and contribute to Amazon's operational and business success.

What is the difference between Day Amazon Data Analyst vs Day Amazon Business Analyst?

AspectDay Amazon Data AnalystDay Amazon Business Analyst
Primary FocusData analysis, reporting, and insights generationBusiness process improvement, strategy, and decision support
Required SkillsData tools (Excel, SQL, Tableau), analytical skillsBusiness acumen, communication, problem-solving
Work EnvironmentData-driven teams within Amazon's operationsCross-functional teams focusing on business strategies
CertificationsData analysis certifications (e.g., Microsoft, Tableau)Business or management certifications (e.g., PMP, MBA)

While both roles support Amazon's operations, the Day Amazon Data Analyst primarily focuses on analyzing data to inform decisions, whereas the Day Amazon Business Analyst concentrates on improving business processes and strategies. The roles often overlap but differ in their core responsibilities and skill sets.

What cities are hiring for Day Amazon Data Analyst jobs? Cities with the most Day Amazon Data Analyst job openings:
What are the most commonly searched types of Amazon Data Analyst jobs? The most popular types of Amazon Data Analyst jobs are:
What states have the most Day Amazon Data Analyst jobs? States with the most job openings for Day Amazon Data Analyst jobs include:
Data Scientist, Rapid & Rural Logistics (R2L)

Data Scientist, Rapid & Rural Logistics (R2L)

Amazon

Bellevue, WA • On-site

Full-time

Posted 25 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,859 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes!
We are looking for a Data Scientist to join our team and solve some of the most complex business problems!
Key job responsibilities
- Work with product managers, engineers, other scientists, and leadership to identify and prioritize complex problems.
- Interview stakeholders to gather business requirements and translate business problems into data science or analytical problems
- Design, develop, and evaluate highly innovative statistics and ML models
- Guide and establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data, industry best-practices, and work done by other teams.
A day in the life
In this role, you will be a technical expert with significant scope and impact. You will work with Product and Supply Chain Managers, Business Intelligence Engineers, System Developers and other Scientists, to develop models that solve a wide range of complex and ambiguous business problems, with the main goal to improve customer experience, improve availability of products and reduce supply chain cost

A successful Data Scientist will have bias for action needed in a startup environment, with great leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. It will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term scientific solutions. We are seeking someone who can thrive in a fast-paced, high-energy and fun work environment where we deliver value incrementally and frequently.

We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.
About the team
The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes!.


What Amazon employees say

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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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US