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Seasonal Amazon Data Analyst Jobs in Raleigh, NC

Implus

Demand Planning Analyst

Durham, NC · On-site +1

From insoles, socks, and shoe care to fitness equipment and seasonal accessories, Implus' products ... Analytical - Collect, Process & Interpret Business Insights from Data; Attention to Detail

Implus

Demand Planning Analyst

Durham, NC · On-site

From insoles, socks, and shoe care to fitness equipment and seasonal accessories, Implus' products ... Analytical - Collect, Process & Interpret Business Insights from Data; Attention to Detail

CEP

eCommerce Coordinator - CEP

Durham, NC · Remote

Support new product launches, seasonal drops, and collection updates * Coordinate product data ... Write and maintain A+ Content for Amazon product pages Reporting & Performance Tracking * Pull and ...

CEP

eCommerce Coordinator - CEP

Durham, NC · Remote

Support new product launches, seasonal drops, and collection updates * Coordinate product data ... Write and maintain A+ Content for Amazon product pages Reporting & Performance Tracking * Pull and ...

Infosys Limited

AWS Redshift Data Architect

Raleigh, NC · On-site

$110 - $170/hr

... Amazon Webservices Managed Services Technical Skills 2 Technology|Cloud Platform|AWS Core services ... Participate in customer discussions to gather and analyze system requirements for performance ...

Kobie Marketing

AI Engineer

Raleigh, NC · Remote

We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to ...

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All JobsAmazon Data Analyst JobsSeasonal Amazon Data Analyst JobsSeasonal Amazon Data Analyst Jobs in Raleigh, NC

Seasonal Amazon Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Aug 23, 2026, the average yearly pay for seasonal amazon data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

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.

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 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 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.

Do seasonal Amazon Data Analysts get hired permanently?

Seasonal Amazon Data Analysts are typically hired for temporary periods during peak seasons and are not automatically converted to permanent employees. However, strong performance and business needs can lead to permanent opportunities or extensions, depending on the company's staffing requirements and individual performance. Skills in data analysis tools like Excel, SQL, and Tableau can improve chances for permanent employment.

Does Amazon hire seasonally?

Yes, Amazon hires seasonal Data Analysts and other roles during peak periods such as holidays and sales events to handle increased demand. These positions often offer temporary employment with specific start and end dates, and may require familiarity with data analysis tools like Excel or SQL. Seasonal hiring is common across various departments to support fluctuating business needs.

What are the most commonly searched types of Amazon Data Analyst jobs in Raleigh, NC?

The most popular types of Amazon Data Analyst jobs in Raleigh, NC are:

What are popular job titles related to Seasonal Amazon Data Analyst jobs in Raleigh, NC?

For Seasonal Amazon Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Seasonal Amazon Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Seasonal Amazon Data Analyst jobs in Raleigh, NC are:

Seasonal Amazon Data Analyst jobs near you

Principal Data Architect

First-Citizens Bank & Trust Company

Raleigh, NC • On-site

$160K - $240K/yr

Other

Re-posted 18 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks

Job description

Overview
The Principal AI Architect is a senior technical leadership role responsible for defining and governing enterprise-wide AI, GenAI, and MLOps architecture. This role sets the long-term vision, reference architectures, and reusable patterns for scalable, secure, and responsible AI adoption across the organization. This role combines strong hands-on engineering with strategic innovation to design, prototype, and deliver intelligent, data-driven solutions that power analytics, machine learning, and next-generation AI applications.
Responsibilities & Qualifications
Enterprise AI & GenAI Architecture
  • Define and own enterprise AI and GenAI reference architectures, including LLM platforms, RAG patterns, agentic systems, and multimodal solutions.
  • Establish standardized architectural patterns for model serving, prompt management, orchestration, tool use, and agent frameworks.
  • Lead architecture decisions for buy vs. build, model selection, hosting strategies, and vendor integrations.
  • Ensure AI architectures align with enterprise standards, cloud strategy, security, and governance.

AI Platform Engineering & MLOps
  • Prototype and operationalize advanced AI solutions, including GenAI and LLM-based systems.
    Architect end-to-end MLOps capabilities, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, and drift detection.
  • Define enterprise patterns for training, fine-tuning, deployment, and observability of ML and GenAI workloads.
  • Guide teams on productionizing PoCs into scalable, resilient, and supportable AI systems.
  • Partner with platform teams to evolve a shared enterprise AI platform.

AWS-Centric AI Architecture
  • Design AI and GenAI solutions using AWS-native services, including (but not limited to):
  • Amazon Bedrock, SageMaker, Lambda, ECS/EKS
  • S3, DynamoDB, Aurora, OpenSearch
  • IAM, KMS, VPC, CloudWatch
  • Define cost, performance, and scalability guardrails for AI workloads on AWS.
  • Ensure architectures follow Well-Architected Framework principles.

Governance, Risk, and Responsible AI
  • Partner with security, legal, and compliance teams to define AI governance, guardrails, and controls.
  • Embed responsible AI principles, data privacy, and explainability into enterprise designs.
  • Establish standards for model access, auditability, and risk management.

Technical Leadership & Influence
  • Act as a principal-level advisor to senior technology and business leaders.
    Champion hands-on experimentation and rapid solution delivery while maintaining technical excellence.
  • Mentor architects and senior engineers on AI architecture and MLOps best practices.
  • Drive alignment across teams by publishing reference architecture, design standards, and decision frameworks.
  • Represent the organization in architecture forums, reviews, and strategic initiatives.

Additional Information
Bachelor's Degree and 10 years of experience in Application Development, Systems Engineering, or Information Technology management OR High School Diploma or GED and 14 years of experience in Application Development, Systems Engineering, or Information Technology management
Preferred Qualifications:
10+ years of experience in enterprise architecture, data platforms, or distributed systems.
Deep expertise in AI/ML architecture, including GenAI and LLM-based systems.
Strong experience designing MLOps platforms and enterprise AI foundations.
Proven experience architecting solutions on AWS.
Experience with Snowflake Cortex AI, Snowflake Native AI capabilities
Strong understanding of cloud security, networking, and governance.
Proficiency in Python, SQL, and modern data frameworks (e.g., Databricks, Airflow, Snowflake, Vertex AI).
Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains.
Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems.
If hired in NC, the base pay for this position is generally between $160,000 and $240,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at
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