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Amazon Data Analyst Jobs (NOW HIRING)

Good Apple

Data Analyst

New York, NY · On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Experience with Amazon Web Services is a plus * Programming experience, Python in particular, is a ...

Dynanet Corporation

Data Analyst

MD · Remote

Data Analyst Job Type: Contracting (Short-Term) Location: Remote Dynanet Corporation Overview ... Amazon QuickSight or Power BI is a plus. * Ability to work with messy, semi-structured, and ...

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Amazon Data Analyst information

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$34K

$82.6K

$136K

How much do amazon data analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for 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 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.
More about Amazon Data Analyst jobs
What cities are hiring for Amazon Data Analyst jobs? Cities with the most Amazon Data Analyst job openings:
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Amazon Data Analyst jobs near you
Infographic showing various Amazon Data Analyst job openings in the United States as of July 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Good Apple

New York, NY • On-site

$69K - $85K/yr

Full-time

Posted 19 days ago

Job description

Good Apple is an independent agency driving an average +30% efficiency while making lives 100% easier. Built on the belief that big agency bureaucracy isn't necessary to drive scalable results, Good Apple operates as that group of friends you love to collaborate with whether you are an employee, agency, publisher, or client partner.
As an Apple, you have a unique opportunity to truly create the destiny and pathway that fuels you each day and drives you to deliver the best results for yourself as well as your clients. As a Data Analyst, you will act as a strategic partner to your clients and media team, solving complex problems through metrics and analysis. Our Data Analysts have a curious, logical mindset with an interest in advertising and digital marketing analytics, working internally across disciplines to deliver the most impactful integrated media solution for our clients.
Key Responsibilities:
  • Collaborate with internal teams to translate business needs into measurement plans and their implementations via website/ad-server tracking setups and data flows
  • Democratize data and insights through data integration and the use of visualization tools
  • Work with media teams to create marketing plans and ensure measurement requirements are built into the media structure
  • Turn business requirements into metrics and implement tracking solutions to measure those metrics
  • Learn what makes an effective media plan so you can be the voice of the data for the media teams and clients to guide media planning and optimization
  • Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and analyses for clients
  • Provide ad-hoc data science-driven regression analyses that discover the connections not discernible from a dashboard or spreadsheet
  • Create clean, effective, and actionable presentations for clients and internal teams
  • Excellent analytical skills and the ability to plainly communicate results to clients and internal teams
  • Lead and contribute to processes (technical or business) improvements for reporting and analysis
  • Diligently see solutions through to the end and be meticulous on QA

Desired Skills/Qualifications:
  • Bachelor's Degree with 3.0 or higher GPA or equivalent work experience
  • 0-2 years of marketing or analytics experience
  • Creative problem-solving skills and clear communication of results to a non-technical audience
  • Excellent communication skills to both internal teams and clients - presenting to clients is an expectation
  • Fast learner, comfortable using advanced SQL, experience working with data pipelines, understanding data architecture
  • Experience working with 3rd party media tools such as Google Campaign Manager, data visualization tools (Looker, Tableau), Cloud DBs (Snowflake, Redshift), Pipeline tools (Rivery, Fivetran), and AI platforms (Data Robot, Dataiku)
  • Familiarity with tag managers, tagging implementation, website architecture, and CMS platforms is a plus
  • Meticulous attention to detail
  • Background in a logic-based field or experience in a logic-focused role is ideal
  • Experience with Amazon Web Services is a plus
  • Programming experience, Python in particular, is a plus

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