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Remote Amazon Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

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Remote Amazon Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jul 14, 2026, the average yearly pay for remote 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.

Does Amazon offer any remote jobs?

Yes, Amazon offers a variety of remote jobs, including roles like data analysts, customer service representatives, and software engineers. These positions often require skills in specific tools and may involve flexible schedules or remote work environments.

How much does Amazon pay a Data Analyst?

Amazon Data Analysts typically earn an average salary ranging from $70,000 to $100,000 per year, depending on experience, location, and specific role responsibilities. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries, often supplemented with benefits and performance bonuses.

Is it possible to get a remote job as a Data Analyst?

Yes, many companies, including Amazon, offer remote Data Analyst positions that can be performed from anywhere with a reliable internet connection. These roles often require skills in data analysis tools like Excel, SQL, or Python, and may involve remote collaboration and communication tools.

What are some common challenges faced by Remote Amazon Data Analysts, and how can they be addressed?

Remote Amazon Data Analysts often face challenges related to collaborating across different time zones and accessing proprietary data securely. Staying aligned with cross-functional teams—such as marketing, supply chain, and product management—requires effective communication and proactive updates. Utilizing project management tools, scheduling regular virtual meetings, and maintaining thorough documentation can help bridge these gaps. Additionally, understanding Amazon's unique data structures and tools is essential for accurate analysis and reporting.

What does a Remote Amazon Data Analyst do?

A Remote Amazon Data Analyst is responsible for collecting, analyzing, and interpreting data related to Amazon's sales, customer behavior, and marketplace trends. They use various tools and software to generate reports and insights that help businesses optimize their Amazon strategies. Working remotely, they collaborate with teams to identify growth opportunities, monitor performance metrics, and support decision-making. Their work often involves using Excel, SQL, and data visualization platforms to turn raw data into actionable insights.

Will Amazon pay you $28 an hour to work from home?

Remote Amazon data analyst roles typically pay between $15 and $30 per hour, depending on experience and location. A $28 per hour rate is within the higher range for this position, which often requires skills in data analysis, proficiency with tools like Excel or SQL, and relevant experience. Actual pay rates can vary based on the specific role, location, and company policies.

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

To thrive as a Remote Amazon Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python, and Amazon analytics platforms like AWS QuickSight is typically required, along with experience in data visualization and reporting. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for collaborating across teams and presenting insights. These competencies are crucial for driving data-driven decisions that optimize business performance and support Amazon’s operational goals.
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 Remote Amazon Data Analyst jobs in Raleigh, NC? For Remote Amazon Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Remote Amazon Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Amazon Data Analyst jobs? Cities near Raleigh, NC with the most Remote Amazon Data Analyst job openings:
Cloud Data Architect (Full-time Remote, NC Based)

Cloud Data Architect (Full-time Remote, NC Based)

Alliance Health

Morrisville, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture.  These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.

Responsibilities & Duties

Data Architecture Design and Modelling

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement

  • Define reference architectures, coding standards, and reusable patterns for data engineering teams 
  • Review and approve solution designs to ensure adherence to enterprise data architecture standards 
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security

  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication

  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements

Education & Experience

Bachelor’s degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.

The following technical certification (or comparable) is required:

• Databricks Certified Data Engineer Professional

The following technical certification (or comparable) is preferred:

• Azure Security Engineer Associate (AZ-500)

Knowledge, Skills, & Abilities

  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date. 

Salary Range 

$118-$150,872/Annually 

Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity. 

An excellent fringe benefit package accompanies the salary, which includes:  

  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility