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Amazon Data Analytics Jobs (NOW HIRING)

Harvest Group

Data Analyst, Amazon

Rogers, AR · On-site

Execute AMC analytics across a defined menu of deliverables for small to mid-sized client accounts ... Familiarity with the Amazon ecosystem and its data, including Amazon Ads data * Experience with ...

Harvest Group

Data Analyst, Amazon

Rogers, AR · On-site

Execute AMC analytics across a defined menu of deliverables for small to mid-sized client accounts ... Familiarity with the Amazon ecosystem and its data, including Amazon Ads data * Experience with ...

The Tile Shop

Success in this role requires data analytics expertise, creative problem-solving, strong ... Experience working with Amazon data through platforms such as Amazon Ads or Amazon Seller Central ...

Asurion

Success in this role requires data analytics expertise, creative problem-solving, strong ... Experience working with Amazon data through platforms such as Amazon Ads or Amazon Seller Central ...

Amazon

Finance Manager, Amazon Devices

Seattle, WA

Develop scalable solutions that utilize the highest standards of analytical rigor and data integrity. Learn and understand a broad range of Amazon's data resources and know how, when, and which to ...

Amazon

Finance Manager, Amazon Devices

Seattle, WA

Develop scalable solutions that utilize the highest standards of analytical rigor and data integrity. Learn and understand a broad range of Amazon's data resources and know how, when, and which to ...

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Amazon Data Analytics information

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$21.5K

$83.7K

$175.5K

How much do amazon data analytics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for amazon data analytics in the United States is $83,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What is Amazon Data Analytics?

Amazon Data Analytics refers to the suite of tools, services, and practices offered by Amazon Web Services (AWS) that enable organizations to collect, process, analyze, and visualize large volumes of data. This includes services like Amazon Redshift, AWS Glue, Amazon Athena, and Amazon QuickSight, which help users turn raw data into actionable insights. Professionals in Amazon Data Analytics roles are responsible for building data pipelines, optimizing data storage, and ensuring data quality to support business decision-making. These roles require skills in data engineering, statistical analysis, and cloud computing technologies.

How does an Amazon Data Analytics professional typically collaborate with cross-functional teams to drive business decisions?

Amazon Data Analytics professionals regularly work with teams such as product management, engineering, marketing, and operations to translate data insights into actionable strategies. They participate in meetings to understand business objectives, design analytical solutions, and present findings in a clear, business-friendly manner. This collaborative approach ensures that data-driven recommendations align with organizational goals and helps stakeholders make informed decisions. Effective communication and the ability to explain complex data concepts to non-technical colleagues are key skills in this role.

What are the key skills and qualifications needed to thrive as an Amazon Data Analytics professional, and why are they important?

To thrive as an Amazon Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, AWS services (e.g., Redshift, Athena), Python, and data visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, clear communication, and the ability to interpret and present complex data insights are valuable soft skills. These competencies enable professionals to derive actionable business insights, support data-driven decisions, and drive operational efficiency within Amazon's fast-paced environment.

What is the difference between Amazon Data Analytics vs Data Analyst?

AspectAmazon Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related; Amazon-specific toolsBachelor's in Statistics, Mathematics, or related; general analytics tools
Work EnvironmentAmazon warehouses, cloud platforms, e-commerce settingsOffices, corporate settings, various industries
Employer & Industry UsageAmazon's e-commerce, logistics, cloud servicesMultiple industries including finance, healthcare, retail
Common Search & ComparisonYesYes

Amazon Data Analytics professionals focus on analyzing data within Amazon's ecosystem, utilizing Amazon-specific tools and working in e-commerce or logistics environments. Data Analysts have a broader scope across industries, using general analytics tools. Both roles require strong analytical skills, but Amazon Data Analytics roles often demand familiarity with Amazon's platforms and cloud services.

What is the salary of Amazon Data Analytics?

The salary for Amazon Data Analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and specific responsibilities. Entry-level positions may start lower, while experienced analysts with skills in SQL, Python, and data visualization tools can earn higher salaries.
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Amazon Data Analytics jobs near you
Infographic showing various Amazon Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $83,718 per year, or $40.2 per hour.

Data Analyst, Amazon

Harvest Group

Rogers, AR • On-site

Full-time

Re-posted 6 days ago

Job description

Harvest Group is an integrated commerce agency that helps high-growth consumer brands win in today's complex retail landscape. Since 2006, we've partnered with some of the world's most recognized brands to navigate the intersection of in-store and digital commerce, retail media, and social platforms across leading retailers including Walmart, Sam's Club, Target, Amazon, Costco, and Kroger.
What sets Harvest Group apart is our connected approach. By aligning strategy, execution, and insights across every stage of the retail journey—and powering that work through our proprietary technology platform—we help brands create sustainable growth in an increasingly dynamic marketplace.
But our success starts with our people.
At Harvest Group, our culture and values shape how we work, serve our clients, and support one another. We believe in building meaningful relationships, pursuing excellence with humility, and creating an environment where talented individuals can do their best work while continuing to grow professionally and personally.
Our commitment to our people has earned recognition as one of the nation's best workplaces, including:
  • Inc. Best Places to Work (2025, 2026)
  • Great Place to Work Certified (2024)
  • Fortune Best Workplaces for Women (2024)
  • Fortune Best Medium Workplaces (2024)
  • Fortune Best Consulting amp; Professional Services Workplaces (2024)
  • Business Intelligence Group Best Places to Work (2023)
Our Values
  • Integrity – Doing what is right in all things
  • Relationship – Pursuing depth, trust, and collaboration
  • Service – Laboring for others with humility and care
  • Excellence – Delivering extraordinary performance and results with humility
  • Journey – Embracing our past and planning for our future with faith
Description
The Amazon Data Analyst is responsible for performing analytics and creating custom audiences using industry-leading clean room technology, primarily Amazon Marketing Cloud (AMC). This role supports a broad portfolio of small to mid-sized client accounts, primarily conducting AMC measurement analysis and building custom audiences from established templates and custom client requests. The ideal candidate has strong SQL skills, sharp analytical thinking, and a genuine interest in retail data and the Amazon ecosystem. This role reports to the AMC Specialist.
This role will be based in Rogers, AR. If you are applying but do not currently reside in Northwest Arkansas, please note that relocation will not be covered by Harvest Group.

Responsibilities
  • Execute AMC analytics across a defined menu of deliverables for small to mid-sized client accounts. Core use cases include path to conversion, average purchase cycle, new to brand analysis, incrementality measurement, and custom audience builds for Amazon DSP.
  • Utilize strong SQL skills to analyze data and generate insights
  • Build and maintain a library of repeatable AMC query templates and workflow documentation, ensuring work is organized, reproducible, and transferable across accounts.
  • Validate and quality-check AMC audience builds before activation, with particular attention to custom attribute logic and expected output.
  • Exhibit resilience by making informed decisions in uncertain or ambiguous situations
  • Communicate findings clearly to account managers and internal stakeholders, and support account manager education on AMC baseline capabilities including path to purchase, time to purchase, and new to brand incrementality metrics.
  • Apply analytical thinking to problem-solving and decision-making processes
Requirements
  • At least 2-4 years of experience in analytics/data insights
  • At least 2-4 years of experience writing SQL
  • Comfort navigating AMC's natural language prompting interface alongside SQL-based query work
  • Ability to leverage data into actionable insights
  • Curiosity of retail and the constantly changing marketplace
  • Proven ownership mindset
  • Excellent communication and interpersonal abilities
  • Strong Excel skills
Preferred
  • Hands-on experience with Amazon Marketing Cloud (AMC) - strongly preferred
  • Familiarity with the Amazon ecosystem and its data, including Amazon Ads data
  • Experience with data visualization tools such as Looker, Power BI, Tableau etc.
  • Comfortability with using AI tools to support query development, analysis, and documentation workflows
Our heart at Harvest is to provide and maintain a work environment that fosters diversity, inclusivity, authenticity, mutual respect, professionalism, and growth. Harvest Group is an equal opportunity employer that does not discriminate on the basis of race, creed, color, religion, age, marital status, familial status, national origin, ancestry, disability or handicap, sexual orientation, gender identity or expression, veteran status, and any other characteristic protected by applicable federal, state, or local laws.
We encourage all interested candidates to apply.

Apply