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Remote Amazon Business Intelligence Engineer Jobs

FRIENDLY GROUP

Business Intelligence Engineer

$52.25 - $67.75/hr

The Business Intelligence Engineer is responsible for the development, maintenance, and adoption of ... This is a remote opportunity however the ideal candidate will live in or around the following ...

Friendly Group

Business Intelligence Engineer

Westlake, TX · On-site +1

$49 - $63.50/hr

The Business Intelligence Engineer is responsible for the development, maintenance, and adoption of ... This is a remote opportunity however the ideal candidate will live in or around the following ...

CenterWell Primary Care

Business Intelligence Engineer

$52.25 - $67.75/hr

Become a part of our caring community The Business Intelligence Engineer solves complex business ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

The Motley Fool

Senior Business Intelligence Engineer

$52.25 - $67.75/hr

The Business Intelligence Engineer plays a vital role in driving our data and analytics infrastructure forward. You will partner closely with data engineers, analysts, product managers, and business ...

Humana, Inc.

Senior Business Intelligence Engineer

$107K - $146K/yr

The Senior Business Intelligence Engineer's work assignments involve moderately complex to complex ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

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Remote Amazon Business Intelligence Engineer information

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

As of Jul 3, 2026, the average hourly pay for remote amazon business intelligence engineer in the United States is $57.05, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.70 per hour, depending on experience, location, and employer.

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 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.
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Remote Amazon Business Intelligence Engineer jobs near you
Business Intelligence Engineer

Business Intelligence Engineer

FRIENDLY HOME SERVICES GROUP

Westlake, TX • Remote

$49 - $63.50/hr

Other

Posted 15 days ago

Job description

Description

The Business Intelligence Engineer is responsible for the development, maintenance, and adoption of business intelligence solutions. These responsibilities include working with operational leaders to build dashboards and reports they can use to make data-driven decisions and will serve as the primary technical resource for our business intelligence software stack, providing design and development deliverables. This person must have a passion for building solutions from the ground up as well as the ability to support existing analytics solutions. This role is the sole internal business intelligence resource for the organization and is expected to bring both the technical foundation to contribute immediately and the curiosity to continuously expand their skills as our data needs evolve.


*This is a remote opportunity however the ideal candidate will live in or around the following metropolitan areas:

  • Dallas, TX
  • Salt Lake City, UT
  • Phoenix, AZ
  • Las Vegas, NV
  • Denver, CO
Key Responsibilities

Partner with operational stakeholders to gather reporting requirements, translate business needs into technical solutions, and deliver actionable insights.

Build, maintain, and optimize data ingestion workflows using Boomi/Rivery.

Design and manage data models, transformations, and within Snowflake.

Develop and publish dashboards, reports, and self-service analytics using Sigma.

Write clean, efficient SQL and Python to support data transformation, automation, and ad hoc analysis.

Automate existing manual reporting process to reduce operational burden and improve efficiency.

Maintain data quality standards, documentation, and best practices.

Serve as the internal subject matter expert for all BI tools.


Requirements

Required Qualifications

3-5 years of experience in a Business Intelligence, Data, Analyst, or similar role.

Proficiency in SQL with hands-on experience in a cloud data warehouse environment. (Snowflake strongly preferred)

Experience with Python for data manipulation, scripting, and automation.

Familiarity with data integration/ETL tools (experience with Boomi / Rivery preferred)

Experience building dashboards and reports in a modern BI visualization tool (Sigma, Tableau, Power BI, Looker, etc.)

Strong ability to work independently, manage competing priorities, and communicate technical concepts to non-technical stakeholders.

Preferred Qualifications

Direct experience with Boomi, Snowflake, and Sigma in a production environment.

Experience working as a solo BI resource or in a small team environment.

Exposure to data governance, documentation, and roadmap planning.

Experience building reporting for the field services industry. 


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