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Business Intelligence Engineer
Amazon
Original Job Summary
About the Role
The Business Intelligence Engineer at Amazon will build and support scalable, automated reporting systems for data-driven decision making. Working within the Data and Analytics team of the SPEAR Organization, you will architect large-scale data solutions, drive advanced analytics through statistical methods, AI integration, and data visualization techniques, and mentor peers to enforce best practices.
Key Responsibilities
- Own full project delivery including stakeholder management and change management.
- Develop and implement metrics and advanced analytics frameworks.
- Architect and implement large-scale data solutions using technologies like Redshift, MySQL, Oracle, Python, and R.
- Research and implement innovative methodologies in data analytics.
- Design and drive adoption of self-service analytics platforms and visualization tools.
- Lead cross-functional initiatives to resolve data quality issues.
- Set technical standards for ETL/ELT practices and mentor team members.
- Establish governance frameworks and provide detailed technical documentation.
About the Team & Culture
The team fosters diversity, continuous learning, and inclusive culture, offering extensive training, career growth, and flexible work arrangements. Amazon Security emphasizes work/life balance and a commitment to developing a broad range of skillsets.
Basic Qualifications
- 5+ years of experience in data analysis with platforms like Redshift and Oracle.
- Experience in data visualization using Tableau, Quicksight or similar tools.
- Expertise in data modeling, warehousing, and building ETL pipelines.
- Proficiency in SQL and scripting (Python); advanced Excel skills.
- Bachelor's degree or equivalent in quantitative fields.
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Master's degree in a related quantitative field.
- Experience in large-scale data mining and ETL processes.
Additional Information
This position is remote with international travel up to 20%. Compensation varies by geographic area with competitive total rewards including equity, sign-on bonuses, and comprehensive benefits. Amazon is committed to equal opportunity employment and inclusive practices.
Key skills/competency
- Data Analytics
- ETL
- SQL
- Python
- Redshift
- Tableau
- AI Integration
- Data Visualization
- Statistical Analysis
- Data Warehousing
How to Get Hired at Amazon
🎯 Tips for Getting Hired
- Research Amazon: Study Amazon's culture and recent news online.
- Customize Resume: Tailor your resume to BI and analytics skills.
- Highlight Projects: Emphasize large-scale data solution expertise.
- Prepare for Interviews: Practice technical and behavioral questions.
- Network: Connect with current Amazon engineers on LinkedIn.