BI Engineer: Big Data Analytics & Dashboards

Amazon; Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Job summary

Amazon.com Services LLC in Seattle is seeking a BI Engineer to work with AWS data warehousing and analytics, handling large datasets and collaborating with product and business leaders to evolve the analytical portfolio for product strategy decisions.

The role emphasizes building reporting solutions, data modeling, ETL pipelines, and visualization using Tableau/QuickSight, with a strong focus on enabling self-serve insights for stakeholders across the business.

Qualifications

• 3+ years analyzing data with Redshift, Oracle, NoSQL.
• 1+ years SQL, ETL or Oracle experience.
• 1+ years processing large, multi-source datasets.
• 1+ years performing statistical analysis.
• 1+ years developing automated reporting.
• Experience with data visualization using Tableau or QuickSight.
• Data modeling, warehousing and ETL pipelines.
• SQL to pull data and Python scripting for modeling.

Responsibilities

• Work with business customers to understand requirements and implement analytical reporting.
• Design and implement reporting solutions enabling stakeholders to manage the business.
• Conduct ad hoc data analysis and data quality investigations.
• Create training and documentation for self-serve reporting tools.
• Develop and support analytical technologies for timely data access.
• Build and maintain an analytical environment with third-party and in-house tools.

Skills

3+ years data analysis

SQL

ETL

Statistical analysis

Automated reporting

Tableau

Python scripting

Data modeling

Tools

Tableau

QuickSight

Python

SQL

Job description

Amazon.com Services LLC in Seattle is seeking a BI Engineer to work with AWS data warehousing and analytics, handling large datasets and collaborating with product and business leaders to evolve the analytical portfolio for product strategy decisions.

The role emphasizes building reporting solutions, data modeling, ETL pipelines, and visualization using Tableau/QuickSight, with a strong focus on enabling self-serve insights for stakeholders across the business.