ZipRecruiter

Log In

2

Remote Amazon Business Intelligence Engineer Jobs in Seattle, WA

Amazon

Data Engineer II, Data Management Team

Seattle, WA · Remote

$130K - $156K/yr

Amazon Web Services (AWS), World-Wide Public Sector Reporting and Analytics team is seeking a Data ... In partnership with machine learning engineers, business intelligence engineers and analysts, you ...

TrueBlue

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

This is a remote opportunity, but applicants must reside in the greater Seattle area. ESSENTIAL ... engineering and analysis tools such as Python, Spark, data visualization, and business intelligence

next page

Showing results 1-20

All JobsAmazon Business Intelligence Engineer JobsRemote Amazon Business Intelligence Engineer JobsRemote Amazon Business Intelligence Engineer Jobs in Seattle, WA

Remote Amazon Business Intelligence Engineer information

See Seattle, WA salary details

$33

$64

$90

How much do remote amazon business intelligence engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote amazon business intelligence engineer in Seattle, WA is $64.92, according to ZipRecruiter salary data. Most workers in this role earn between $55.82 and $72.50 per hour, depending on experience, location, and employer.

What does a remote Amazon Business Intelligence Engineer do?

A Remote Amazon Business Intelligence Engineer is responsible for designing, developing, and maintaining data solutions that help Amazon make data-driven decisions. They work with large datasets, build dashboards, create data models, and generate reports to support different business teams. Their role often involves using tools like SQL, Python, and AWS services to extract and analyze data. Working remotely, they collaborate with stakeholders across Amazon to deliver insights that improve processes and drive business growth.

What are the main collaboration methods for a remote Amazon Business Intelligence Engineer working with cross-functional teams?

As a Remote Amazon Business Intelligence Engineer, effective collaboration is essential, especially when working with data scientists, product managers, and software engineers across different time zones. Most communication occurs through virtual meetings, project management platforms, and regular status updates via email or chat tools. You'll often participate in sprint planning sessions, data review meetings, and code reviews to ensure data solutions align with business objectives. Building strong remote relationships and maintaining clear, proactive communication are key to overcoming the challenges of working in a distributed team environment.

What are the key skills and qualifications needed to thrive as a remote Amazon Business Intelligence Engineer, and why are they important?

To thrive as a Remote Amazon Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and proficiency in SQL and data visualization, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with Amazon Web Services (AWS), business intelligence tools like Tableau or QuickSight, and ETL systems is commonly required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and translating business needs into actionable insights. These skills are crucial for driving data-informed decision-making and delivering impactful business solutions in a distributed work environment.

What is the difference between Remote Amazon Business Intelligence Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Business Intelligence EngineerRemote Amazon Data Analyst
Required SkillsData modeling, SQL, BI tools, AWS servicesData querying, Excel, SQL, visualization tools
Work EnvironmentCross-functional teams, cloud-based platformsData-focused roles, reporting environments
Industry UsageTech, retail, e-commerceRetail, marketing, e-commerce

The Remote Amazon Business Intelligence Engineer focuses on designing and maintaining data systems and dashboards to support business decisions, often working with cloud platforms like AWS. In contrast, the Remote Amazon Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require SQL and data visualization skills but differ in scope and technical depth.

What are the most commonly searched types of Amazon Business Intelligence Engineer jobs in Seattle, WA?

The most popular types of Amazon Business Intelligence Engineer jobs in Seattle, WA are:

What are popular job titles related to Remote Amazon Business Intelligence Engineer jobs in Seattle, WA?

For Remote Amazon Business Intelligence Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Business Intelligence Engineer jobs in Seattle, WA look for?

The top searched job categories for Remote Amazon Business Intelligence Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Amazon Business Intelligence Engineer jobs?

Cities near Seattle, WA with the most Remote Amazon Business Intelligence Engineer job openings:

Remote Amazon Business Intelligence Engineer jobs near you
Infographic showing various Remote Amazon Business Intelligence Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $135,038 per year, or $64.9 per hour.

Business Intelligence & Analytics Expert - Remote

YO AI Labs

Seattle, WA • Remote

$30 - $80/hr

Full-time

Posted 7 days ago

Job description

Business Intelligence & Analytics Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Business Intelligence & Analytics Experts to evaluate and improve AI-powered analytics workflows. You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to provide accurate, practical feedback that helps train next-generation AI systems.

Key Responsibilities
  • Review and validate dashboards, reports, KPIs, and data visualizations.
  • Build or refine dashboards using Power BI, Tableau, Looker, Qlik, Sigma, or Databricks.
  • Check data sources, calculations, metrics, and reporting logic for accuracy.
  • Evaluate KPI structures and analytical outputs for actionable business insights.
  • Test AI agents such as ChatGPT Work, Codex, and Claude Cowork in analytics workflows.
  • Identify errors, inconsistencies, and opportunities for improvement.
  • Document findings and provide structured feedback.
  • Evaluate BI integrations with tools such as Google Drive, Slack, Microsoft 365, SharePoint, and Salesforce.
Required Skills
  • Business Intelligence
  • Data Analytics
  • Power BI
  • Tableau
  • Looker
  • Qlik
  • Sigma
  • Databricks
  • MySQL
  • Data Visualization
  • Dashboard Development
  • Reporting
  • KPI Analysis
  • ChatGPT Work
  • Codex
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in BI, analytics, reporting, or data visualization.
  • Hands-on experience building or validating dashboards and analytical workflows.
  • Strong knowledge of BI tools, SQL, data sources, and KPI reporting.
  • Experience using generative AI or AI agents in professional workflows.
  • Experience integrating BI platforms with workplace and cloud-based systems.
  • Strong analytical, problem-solving, and communication skills.
  • Excellent attention to detail when reviewing data, calculations, and business metrics.