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Amazon Data Analyst Jobs in Virginia (NOW HIRING)

Jobsbridge

Cloud/Big Data Analyst

Merrifield, VA · On-site

... Amazon S3 or similar Cloud certifications Experience in Perl, Python or Tcl/Tk scripting languages Any experience with Geospatial analysis Qualifications JSON,JavaScript,Perl, Python Additional ...

CGI Inc.

Senior Data Analyst

Reston, VA · On-site

$89K - $112K/yr

AWS data services such as Amazon S3, AWS Glue, Redshift, Athena, or related cloud-based data ... Data Analysis * Detail-oriented * ETL * Problem Solving * SQL * Data Mapping What you can expect ...

Surge InfoTech LLC

Data Anlayst

Alexandria, VA · On-site

Summary The Data Analyst will support a large-scale modernization effort to migrate legacy Sybase databases to Amazon RDS for PostgreSQL. This role focuses on understanding existing legacy data ...

CGI

Senior Data Analyst

Reston, VA · Hybrid

$89K - $112K/yr

AWS data services such as Amazon S3, AWS Glue, Redshift, Athena, or related cloud-based data ... Data Analysis * Detail-oriented * ETL * Problem Solving * SQL * Data Mapping What you can expect ...

AArete

Data Science Analyst

Vienna, VA

Description Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture ... AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock ...

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Amazon Data Analyst information

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$33.7K

$81.9K

$134.8K

How much do amazon data analyst jobs pay per year?

As of Jun 16, 2026, the average yearly pay for amazon data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Data Analyst position, and why are they important?

To thrive as an Amazon Data Analyst, you need strong analytical skills, experience with statistical methods, and a relevant degree in fields such as Data Science, Mathematics, or Computer Science. Proficiency with SQL, Python, Excel, and data visualization tools like Tableau or AWS QuickSight, along with certifications in data analytics or cloud platforms, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills enable you to translate complex data into actionable insights for stakeholders. These competencies are critical for driving data-driven decision-making and supporting Amazon's fast-paced, results-oriented business environment.

What is an Amazon Data Analyst job?

An Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. They work with teams across the company to identify trends, optimize processes, and improve efficiency using data-driven insights. Their role often involves using SQL, Python, Excel, and visualization tools like Tableau or Power BI. Strong analytical skills and attention to detail are essential for making informed recommendations that impact operations, sales, or customer experience.

What are some typical challenges Amazon Data Analysts face, and how can they overcome them?

Amazon Data Analysts often work with large, complex datasets and must ensure the accuracy and reliability of their analyses in a fast-paced environment. Navigating multiple data sources, integrating new technologies, and adapting to changing business priorities are common challenges. Successful analysts proactively collaborate with cross-functional teams, stay up to date on the latest analytical tools, and prioritize effective communication to translate technical findings into business recommendations. Seeking mentorship and ongoing learning opportunities can also help analysts stay ahead in this dynamic role.

Can I be a data analyst in 3 months?

Becoming a data analyst typically requires several months of dedicated learning in areas such as data analysis, SQL, Excel, and visualization tools like Tableau or Power BI. While some intensive bootcamps or training programs claim to prepare individuals quickly, gaining proficiency usually takes longer than three months, especially without prior experience. Employers often look for relevant skills, experience, and sometimes certifications, making a three-month timeline challenging for full proficiency.

How to get a job in Amazon as a data analyst?

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, along with strong skills in SQL, Excel, and data visualization tools like Tableau or Power BI. Relevant experience in data analysis, familiarity with Amazon's business environment, and certifications such as Certified Analytics Professional can improve prospects. Applying through Amazon's careers website and preparing for technical interviews are essential steps.

What does a data analyst make at Amazon?

A data analyst at Amazon typically earns a salary ranging from $70,000 to $120,000 annually, depending on experience, location, and level. They often work with tools like SQL, Excel, and data visualization software, and may be required to have a bachelor's degree in a related field.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting insights, making strategic decisions, and handling complex or unstructured data. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate, so AI is more likely to augment rather than replace data analysts.
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What cities in Virginia are hiring for Amazon Data Analyst jobs? Cities in Virginia with the most Amazon Data Analyst job openings:
Amazon Data Analyst jobs near you
Infographic showing various Amazon Data Analyst job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,931 per year, or $39.4 per hour.
Data Engineer, Central InfraOps Analytics Team

Data Engineer, Central InfraOps Analytics Team

Amazon

Herndon, VA

Full-time

Posted 19 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,854 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

As a Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization. The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, operations, logistics, engineering and equipment management.
Key job responsibilities
Design, develop, and maintain ETL pipelines to ingest data into the data warehouse and data lake
Create and optimize logical data models that drive physical design for the Infrastructure Operations organization
Implement data quality measures and ongoing monitoring to ensure data integrity
Build scalable, efficient, and maintainable data solutions that support business intelligence needs
Optimize data storage and query performance across various data platforms
Develop automated processes to replace manual data operations
Collaborate with business stakeholders to understand data and reporting requirements
Translate business questions into data solutions that drive decision-making
Mentor and develop peers in data engineering best practices
Participate in code reviews, design discussions, and team planning
Improve self-service access to data for business users
Enhance code quality and dependency management
Automate manual processes to increase efficiency
Identify and resolve root causes of complex data problems
A day in the life
At AWS, the Data Engineer fully embraces the "You Build It, You Own It" philosophy, taking complete ownership of data solutions from conception through deployment and ongoing maintenance

You design architectures, implement pipelines, and remain responsible for their health and evolution as business needs change.
Each day begins with reviewing pipeline alerts and data quality metrics, followed by a 15-30 minute team stand-up to align on priorities and discuss blockers. You'll spend time monitoring infrastructure, reviewing logs for ETL pipeline health and data lake performance, then dedicate time to address stakeholder queries and prioritizing incoming requests via email, Slack and intake forms. The majority of your time is spent developing and maintaining ETL pipelines that ingest infrastructure operational data from global data centers, which includes writing code, debugging issues, optimizing queries, and implementing quality checks

The role requires frequent context switching between developing new data models, supporting existing infrastructure, and consulting on data utilization.
Key challenges you'll tackle include unifying and understanding fragmented data from diverse data center systems, enabling infrastructure monitoring, supporting analytics for capacity planning, driving optimization through data insights, automating manual processes, creating self-service access for business users, maintaining quality across massive datasets, ensuring compliance with strict security requirements, designing for scale as AWS expands globally, and modernizing legacy systems to reduce technical debt.
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What Amazon employees say

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Benefits

Hours and flexibility

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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

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