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Amazon Data Analyst Jobs in Arkansas (NOW HIRING)

Harvest Group

Data Analyst, Amazon

Rogers, AR

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 ...

Harvest Group

Data Analyst, Amazon

Rogers, AR · On-site

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 ...

Amazon

Site EHS Manager III

Little Rock, AR · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Leverage technology and data analytics to drive preventive safety measures that protect our ...

Amazon

Site EHS Manager III

Little Rock, AR

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... data analytics to drive preventive safety measures that protect our associates while enhancing ...

Amazon

Site EHS Manager III

Little Rock, AR · On-site

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... data analytics to drive preventive safety measures that protect our associates while enhancing ...

Amazon

EHS Specialist

Little Rock, AR · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... to analyze accident data, new processes, and machinery for potential safety concerns and conduct ...

Pwc

Data Engineer - Manager

Little Rock, AR · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

Pwc

Data Engineer - Manager

Fayetteville, AR · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

Amazon

Senior Site EHS Manager

Little Rock, AR · On-site

... data analysis. To do so, you must be an effective communicator and send clear, concise and ... Amazon Safety Policies. - Measure site performance against published requirements in safety ...

Amazon

Senior Site EHS Manager

Little Rock, AR · On-site

... data analysis. To do so, you must be an effective communicator and send clear, concise and ... Amazon Safety Policies. - Measure site performance against published requirements in safety ...

Amazon

Senior Site EHS Manager

Little Rock, AR · On-site

At Amazon, we prioritize health, safety, and well-being above all else. There is nothing more ... data analysis. To do so, you must be an effective communicator and send clear, concise and ...

Amazon

Operations Manager

Little Rock, AR · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

Amazon

Operations Manager

Little Rock, AR · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

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Showing results 1-20

All JobsAmazon Data Analyst JobsAmazon Data Analyst Jobs in Arkansas

Amazon Data Analyst information

See Arkansas salary details

$28.1K

$68.3K

$112.5K

How much do amazon data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for amazon data analyst in Arkansas is $68,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $80,200.00 per year, depending on experience, location, and employer.

What is an Amazon data analyst?

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 the key skills and qualifications needed to thrive as an Amazon data analyst?

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.

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.

How do I join Amazon as a data analyst?

To join Amazon as a data analyst, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science, along with strong analytical skills and experience with tools like SQL, Python, or R. Applying through Amazon's careers website and demonstrating relevant experience and technical proficiency are essential steps in the hiring process.

What are top 3 soft skills for an Amazon Data Analyst?

The top three soft skills for an Amazon Data Analyst are strong analytical thinking, effective communication, and problem-solving abilities. These skills enable analysts to interpret complex data, present insights clearly, and collaborate with cross-functional teams in a fast-paced environment.

What are the most commonly searched types of Amazon Data Analyst jobs in Arkansas?

The most popular types of Amazon Data Analyst jobs in Arkansas are:

What are popular job titles related to Amazon Data Analyst jobs in Arkansas?

For Amazon Data Analyst jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Amazon Data Analyst jobs in Arkansas look for?

The top searched job categories for Amazon Data Analyst jobs in Arkansas are:

Amazon Data Analyst jobs near you
Infographic showing various Amazon Data Analyst job openings in Arkansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,335 per year, or $32.9 per hour.

Data Analyst, Amazon

Harvest Group

Rogers, AR

Full-time

Posted 25 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