Sr.Business Intelligence Engineer, AWS DC Global Network Delivery

Key job responsibilities

• Partner cross-functionally to gather requirements and deliver end-to-end analytics solutions — translating ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools
• Collaborate with Sr.Business Leaders, TiPM, Product, DE to transform large, complex datasets into structured, analytics-ready insights that drive business outcomes
• Design, develop, and deploy production-grade context driven datasets and pipelines for self serve, enforcing mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure consistency, reliability, and reusability at scale
• Drive alignment on metrics definitions, taxonomy, and data governance across stakeholders
• Establish a BI platform enabling stakeholders to self-serve at scale
• Leverage AI to deliver practical and sophisticated solutions, pushing beyond conventional analytics approaches
• Mentor and develop junior team members — establishing and driving best analytics practices across the team
• Communicate results, insights, and recommendations across all levels of the organization — from engineering teams to senior leadership — distilling complex findings into clear, actionable narratives tailored to each audience

Basic Qualifications

• 7+ years of SQL, ETL or Oracle experience
• Experience in the data/BI space
• 6+ years of developing automated reporting experience
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills
• Knowledge of data warehousing and data modeling
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience managing, analyzing and communicating results to senior leadership
• 6+ years of relevant professional experience in business intelligence, data engineering, or analytics engineering

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Master's degree in statistics, data science, or an equivalent quantitative field
• Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
• Experience programming to extract, transform and clean large (multi-TB) data sets