ZipRecruiter

Log In

1

Amazon Data Analyst Jobs in Washington (NOW HIRING)

Jobsbridge

Cloud/Big Data Analyst

Merrifield, VA

... 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

HW Commodity Specialist III - AMZ6704.19

Herndon, VA · On-site

$147K - $200K/yr

Amazon Data Services, Inc. Position: HW Commodity Specialist III - AMZ6704.19 Location: Herndon, VA ... Must have 1 year of experience in: 1. Conducting qualitative and quantitative data analysis to ...

Amazon

Data Center Controls Tech, Deployment

Herndon, VA

$30.75 - $40.50/hr

... Amazon data centers. If you are passionate about the Customer Experience, think and act globally ... Perform root cause analysis during testing and commissioning. Ensure all personnel on site utilize ...

Amazon

Data Center Controls Tech, Deployment

Herndon, VA

$30.75 - $40.50/hr

... Amazon data centers. If you are passionate about the Customer Experience, think and act globally ... Perform root cause analysis during testing and commissioning. Ensure all personnel on site utilize ...

next page

Showing results 1-20

All JobsAmazon Data Analyst JobsAmazon Data Analyst Jobs in Washington

Amazon Data Analyst information

See Washington salary details

$38.5K

$93.6K

$154K

How much do amazon data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for amazon data analyst in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 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 Washington? The most popular types of Amazon Data Analyst jobs in Washington are:
What are popular job titles related to Amazon Data Analyst jobs in Washington? For Amazon Data Analyst jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Amazon Data Analyst jobs in Washington look for? The top searched job categories for Amazon Data Analyst jobs in Washington are:
What cities in Washington are hiring for Amazon Data Analyst jobs? Cities in Washington with the most Amazon Data Analyst job openings:
Amazon Data Analyst jobs near you
Infographic showing various Amazon Data Analyst job openings in Washington as of July 2026, with employment types broken down into 1% Locum Tenens, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.
Data Analyst II, Ecommerce

Data Analyst II, Ecommerce

Greenlight Financial Technology

Fort Washington, MD • Remote

Full-time

Posted 16 days ago

Job description

Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family’s future. Kids and teens learn to earn, save, spend wisely, and invest. 
 
At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It’s no small task, and that’s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it.
Your day-to-day:
  • Own the end-to-end measurement framework for Greenlight’s devices business across Shopify and Amazon. Define the KPIs, build the reporting, and ensure the team always has a clear, current view of device sales performance.
  • Measure the full funnel from ad impression to device purchase to subscriber conversion. Understand which marketing inputs drive device sales and which device buyers become high-LTV subscribers. This two-step conversion is the core analytical problem in this role.
  • Analyze paid performance across Amazon Ads and Shopify-driven channels. Evaluate ROAS, CAC, and payback period at the device level and surface recommendations on where to shift spend.
  • Dig into the Shopify storefront and Amazon product page funnels. Identify where conversion is leaking, what product, pricing, or creative variables are driving lift, and bring findings forward before stakeholders ask.
  • Build and own dbt models that encode business logic for the devices domain in a scalable, reusable way to power dashboards, reporting, and stakeholder self-serve.
  • Build and maintain Tableau dashboards that give marketing and leadership a reliable, current view of device sales, channel performance, and subscriber attach rates.
  • Use Claude fluently as a daily productivity layer: accelerating SQL, generating documentation, QA-ing work, and building faster analytical workflows. Help define and share best practices for AI-assisted analytics across the team.
  • Partner directly with the devices marketing team to scope analytical problems, pressure-test
  • Identify gaps before they become problems: data quality, metric definitions, reporting coverage, and stakeholder understanding. Own the fix, not just the flag.
What you’ll bring to the team:
  • 4 to 8 years in a data or analytics role with direct experience in e-commerce or retail marketing analytics. You understand how product sales, marketplace channels, and subscription conversion interact.
  • Hands-on experience with Shopify analytics and Amazon Seller Central or Amazon Ads. You know how these platforms structure their data, what the key metrics are, and how to measure performance across both.
  • Strong, proven SQL ability. You write clean, efficient queries across complex schemas and can build analytics logic others can maintain. dbt experience, including owning models in production, is a strong plus.
  • You write readable, well-structured Python for analytical work: data manipulation, automation, or scripting. Experience with pandas and the ability to move fluidly between SQL and Python depending on what the problem calls for is what we’re looking for.
  • Proficient with Claude or similar AI tools for analytical work. You use them to move faster, not as a crutch. You know how to validate outputs rather than ship the first answer.
  • You understand how attribution models work in a marketplace context, what makes a good experiment, and how to think about LTV, CAC, and payback period for a hardware product that feeds a subscription business.
  • You don’t wait to be asked. You spot the gap, scope the work, and drive it to a conclusion. Your stakeholders shouldn’t have to manage your backlog.
  • You can take a fuzzy business question and turn it into a clear analytical plan. You ask the right clarifying questions and bring structure without needing the problem handed to you pre-scoped.
  • You communicate findings in a way that drives decisions. You know when a chart is enough and when you need a narrative. You’ve presented to senior stakeholders and know how to calibrate.
Preferred experience:
  • Amazon Clean Room experience: privacy-safe audience analysis, overlap measurement, or closed-loop attribution using Amazon’s data collaboration environment.
  • Experience with Amazon DSP or Amazon Marketing Cloud (AMC) analytics.
  • Familiarity with Shopify analytics APIs or third-party Shopify reporting tools.
  • Background in a business that sells hardware with a recurring subscription attached, such as connected devices, wearables, or smart home products.
  • Hands-on experiment design experience: incrementality testing, geo tests, or A/B testing in an e-commerce context.
  • Experience with Snowflake or a similar cloud data warehouse.
  • Experience mentoring or reviewing the work of junior analysts.
Not sure this one’s for you? Don’t count yourself out. Show us what you’ve got and we’ll reach out if there’s a great fit. 
Work perks at Greenlight:
  • Medical, dental, vision, and HSA match 
  • Paid life insurance, AD&D, and disability benefits 
  • Traditional 401k with company match
  • Unlimited PTO 
  • Paid company holidays and pop-up bonus holidays 
  • Professional development stipends
  • Mental health resources  
  • 1:1 financial planners
  • Fertility healthcare
  • 100% paid parental and caregiving leave, plus cleaning service and meals during your leave
  • Flexible WFH, both remote and in-office opportunities
  • Fully stocked kitchen, catered lunches, and occasional in-office happy hours
  • Employee resource groups
Our stance on salaries:
Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.
 
The estimated base pay range for this position in (NY, CA, WA): $100,000- 130,000
The estimated base pay range for this position in (CO): $100,000- 120,000

Who we are:
It takes a special team to aim for a never-been-done-before mission like ours. We’re looking for people who love working together because they know it makes us stronger, people who look to others and ask, “How can I help?” and then “How can we make this even better?” If you’re ready to roll up your sleeves and help create a world where every child grows up to be happy and healthy in money and life, apply to join our team. 
 
Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.
 
Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email accomodations@greenlight.me. 
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.