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Seasonal Amazon Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

... analytics using SQL experience - Experience with data modeling, warehousing and building ETL ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

In the Worldwide Returns & ReCommerce (WWRR) group at Amazon, we are dedicated to 'making zero ... As a Data Analyst, you will be responsible for modeling complex problems, discovering insights and ...

In the Worldwide Returns & ReCommerce (WWRR) group at Amazon, we are dedicated to 'making zero ... As a Data Analyst, you will be responsible for modeling complex problems, discovering insights and ...

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 ...

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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Seasonal Amazon Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do seasonal amazon data analyst jobs pay per year?

As of Aug 4, 2026, the average yearly pay for seasonal 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 some common challenges faced by Seasonal Amazon Data Analysts, and how can they overcome them?

Seasonal Amazon Data Analysts often face the challenge of quickly adapting to fast-paced, high-volume work during peak periods, such as holiday seasons. They must rapidly familiarize themselves with Amazon’s data tools, processes, and team workflows to deliver accurate insights under tight deadlines. Collaboration with multiple teams—such as operations, inventory, and customer service—is crucial, and clear communication helps prevent misunderstandings. To overcome these challenges, new analysts should proactively seek training resources, ask questions early, and prioritize organization and time management to stay on top of shifting priorities.

What are the key skills and qualifications needed to thrive as a Seasonal Amazon Data Analyst, and why are they important?

To thrive as a Seasonal Amazon Data Analyst, you generally need strong analytical skills, proficiency in data analysis, and at least a bachelor's degree in a quantitative field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and Excel, as well as experience with Amazon's internal data systems, is often required. Attention to detail, effective communication, and adaptability to fast-paced environments are standout soft skills. These combined abilities ensure accurate insights, clear reporting, and effective decision-making during Amazon’s high-volume seasonal periods.

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

AspectSeasonal Amazon Data AnalystAmazon Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; familiarity with Amazon datasetsBachelor's or higher in Data Science, Analytics, or related; experience with Amazon data preferred
Work EnvironmentTemporary, seasonal projects during peak shopping periodsFull-time, year-round position within Amazon's analytics teams
Employer & Industry UsageAmazon retail and logistics during peak seasonsAmazon corporate analytics across departments
Search & Comparison IntentFocus on seasonal data analysis roles at AmazonBroader, ongoing data analysis roles at Amazon

The Seasonal Amazon Data Analyst role is temporary, focusing on peak season data needs, while the Amazon Data Analyst position is a permanent role with ongoing responsibilities. Both require similar skills and educational backgrounds, but differ mainly in duration and scope.

What does a Seasonal Amazon Data Analyst do?

A Seasonal Amazon Data Analyst is responsible for collecting, analyzing, and interpreting data to help Amazon make informed business decisions during peak periods, such as holidays or sales events. Their duties often include preparing reports, identifying trends, and providing actionable insights to improve operations, sales, or customer experiences. They work closely with other teams to support various projects and ensure data-driven solutions are implemented efficiently. This role is typically temporary and aligns with Amazon’s busiest seasons.
More about Seasonal Amazon Data Analyst jobs
What cities are hiring for Seasonal Amazon Data Analyst jobs? Cities with the most Seasonal Amazon Data Analyst job openings:
What are the most commonly searched types of Amazon Data Analyst jobs? The most popular types of Amazon Data Analyst jobs are:
What states have the most Seasonal Amazon Data Analyst jobs? States with the most job openings for Seasonal Amazon Data Analyst jobs include:
Infographic showing various Seasonal Amazon Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst, Amazon

Harvest Group

Rogers, AR • On-site

Full-time

Posted 7 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 & 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.