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Amazon Data Analyst Jobs in Virginia (NOW HIRING)

Fisher Auto Parts

Merchandise Data Analyst

Staunton, VA · On-site

$50K - $65K/yr

The Merchandise Data Analyst provides a statistical and financial foundation for merchandising ... Experience with BI tools such as Amazon QuickSight is a plus. * Strong attention to detail ...

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 ...

Amazon Data Services, Inc.

VA · On-site

Using Amazon leadership principles, you will develop new processes and standards while innovating ... Analysis or Corrective Action for BMS and EPMS related issues in AWS data centers. • Train and ...

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All JobsAmazon Data Analyst JobsAmazon Data Analyst Jobs in Virginia

Amazon Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do amazon data analyst jobs pay per year?

As of Aug 1, 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.

Will AI replace a Data Analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a Data Analyst involves interpreting data, providing insights, and making strategic recommendations that require human judgment. Data Analysts will increasingly work alongside AI, focusing on complex analysis, storytelling, and decision support that AI cannot fully replicate. Skills in data visualization, critical thinking, and domain knowledge remain essential for the role.

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.

Will Amazon pay you $28 an hour to work from home?

Amazon Data Analysts working remotely can earn around $20 to $30 per hour, depending on experience and location. Compensation varies based on the role, skills, and level of expertise, with some positions offering higher pay for specialized knowledge or certifications. It is advisable to review current job postings for specific salary details.

Is 40 too late for data science?

For a Data Analyst role at Amazon, transitioning into data science at age 40 is possible, especially with relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications, building portfolios, and continuous learning. Age is less a barrier than acquiring the necessary technical expertise and experience for the role.

What does a Data Analyst make at Amazon?

A Data Analyst at Amazon typically earns a salary that ranges from $60,000 to $100,000 annually, depending on experience, location, and level. They analyze large datasets using tools like SQL, Excel, and Tableau to support business decisions and improve operational efficiency.
What are the most commonly searched types of Amazon Data Analyst jobs in Virginia? The most popular types of Amazon Data Analyst jobs in Virginia are:
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Amazon Data Analyst jobs near you
Infographic showing various Amazon Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Data Analyst

Enterprise Business Solutions Inc

Virginia Beach, VA • On-site

Other

Re-posted 12 days ago

Job description

Job Summary

We are seeking a Data Analyst to collect, analyze, and interpret large datasets to support business decision-making. The ideal candidate will have strong analytical skills, experience with data visualization tools, and proficiency in SQL and reporting.

Required Skills

< data-start=528 data-end=549>Technical Skills

  • Strong experience with SQL for data extraction and analysis
  • Experience with Excel (Pivot Tables, VLOOKUP, Power Query)
  • Proficiency in Power BI, Tableau, or similar visualization tools
  • Knowledge of data modeling and database concepts
  • Experience with Python or R for data analysis (preferred)
  • Understanding of ETL processes and data warehousing concepts
  • Ability to create dashboards, reports, and KPIs

< data-start=989 data-end=1010>Responsibilities

  • Gather, analyze, and validate data from multiple sources
  • Develop reports and dashboards to support business stakeholders
  • Identify trends, patterns, and actionable insights
  • Perform data quality checks and data cleansing activities
  • Collaborate with business teams to define reporting requirements
  • Present findings and recommendations to stakeholders
  • Support ad hoc reporting and analytical requests

< data-start=1423 data-end=1442>Qualifications

  • Bachelor''''''''''''''''''''''''''''''''s degree in Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or related field
  • 2–5+ years of Data Analyst experience
  • Strong analytical and problem-solving skills
  • Excellent communication and documentation abilities
  • Experience working in Agile environments is a plus
Preferred Skills
  • Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud
  • Knowledge of machine learning concepts
  • Experience with Snowflake, Databricks, or Big Data technologies

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