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Full Time Amazon Business Intelligence Engineer Jobs

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 business intelligence solutions. These responsibilities include working with operational leaders to ...

Proponent, Inc

Business Intelligence Engineer

Brea, CA · On-site

$100K - $125K/yr

Business Intelligence Engineer Job Location: Brea, CA - Hybrid Position Job Summary: (list 5 primary responsibilities) In this role, your primary responsibilities are (but not limited to): * Build ...

Proponent, Inc

Business Intelligence Engineer

Brea, CA · On-site

$100K - $125K/yr

Business Intelligence Engineer Job Location: Brea, CA - Hybrid Position Job Summary: (list 5 primary responsibilities) In this role, your primary responsibilities are (but not limited to): * Build ...

Amazon

Business Intelligence Engineer, MEDICI

Newark, NJ · On-site

$53.25 - $69.25/hr

ABOUT THIS ROLE As a Business Intelligence Engineer at Audible, you'll serve as a data-driven decision enabler for our senior leadership team. You'll be responsible for designing, implementing, and ...

Amazon

Business Intelligence Engineer, MEDICI

Newark, NJ · On-site

$53.25 - $69.25/hr

ABOUT THIS ROLE As a Business Intelligence Engineer at Audible, you'll serve as a data-driven decision enabler for our senior leadership team. You'll be responsible for designing, implementing, and ...

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Full Time Amazon Business Intelligence Engineer information

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

As of Jul 5, 2026, the average hourly pay for full time 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 is the difference between Full Time Amazon Business Intelligence Engineer vs Data Analyst?

AspectFull Time Amazon Business Intelligence EngineerData Analyst
Required SkillsSQL, data modeling, BI tools, programming (Python, R)SQL, Excel, data visualization, basic statistical analysis
Work EnvironmentTech-focused, cross-functional teams at AmazonBusiness units, reporting teams, less technical focus
Employer & Industry UsageAmazon, e-commerce, tech industryVarious industries, including retail, finance, healthcare

Full Time Amazon Business Intelligence Engineers focus on designing and implementing data solutions and dashboards to support decision-making at Amazon. Data Analysts primarily interpret data, generate reports, and provide insights. While both roles require SQL and data skills, BI Engineers often work on building infrastructure, whereas Data Analysts focus on analysis and reporting.

What cities are hiring for Full Time Amazon Business Intelligence Engineer jobs? Cities with the most Full Time Amazon Business Intelligence Engineer job openings:
What are the most commonly searched types of Amazon Business Intelligence Engineer jobs? The most popular types of Amazon Business Intelligence Engineer jobs are:
What states have the most Full Time Amazon Business Intelligence Engineer jobs? States with the most job openings for Full Time Amazon Business Intelligence Engineer jobs include:
Full Time Amazon Business Intelligence Engineer jobs near you
Business Intelligence Engineer

Business Intelligence Engineer

Friendly Group

Westlake, TX • On-site, Remote

$49 - $63.50/hr

Full-time

Posted 19 days ago

Job 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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