Role Overview
Amazon features an opportunity for a Business Analyst / Support Engineer within the Global Solutions & Risk Compliance (GSRC) organization at the ADCI facility in Karnataka, India. In this technical support and analytical role, you will act as a primary technical escalation point for enterprise data analytics platforms, business intelligence tools, and reporting workflows. The position focuses on investigating and remediating complex data pipeline failures, optimizing BI system performance, enforcing data modeling standards, and partnering with Data Engineering and development teams to resolve platform-level incidents and improve data accessibility.
Core Responsibilities
- Technical Escalation & Support: Serve as the primary escalation point for complex data anomalies, reporting errors, and performance bottlenecks across BI platforms.
- Pipeline & ETL Troubleshooting: Investigate, debug, and resolve issues within ETL/ELT data pipelines, ensuring data freshness, integrity, and warehouse reliability.
- Platform Optimization: Monitor and optimize business intelligence infrastructure, refine SQL queries, and assist in data modeling and visualization standards.
- Root Cause Analysis: Perform rigorous root cause analysis (RCA) on critical data incidents and deploy preventative engineering solutions to prevent reoccurrence.
- Cross-Functional Partnership: Collaborate with data engineering, software development, and risk compliance teams to align on tool enhancements and platform updates.
- Documentation & Standards: Author detailed technical documentation, operational runbooks, and best-practice guides for report developers and stakeholders.
- Operational Readiness: Participate in scheduled on-call rotations to maintain continuous operational availability for business-critical reporting systems.
Qualifications & Requirements
- Educational Background: Bachelor's degree in Engineering, Data Engineering, Business Intelligence, Information Systems, Analytics, or a related field (Master's degree preferred).
- Professional Experience: 1+ years of hands-on experience in business intelligence, data analytics support, or technical application operations.
- Database & Querying: Advanced practical proficiency in SQL, relational database management, data modeling principles, and performance tuning.
- BI & Visualization Platforms: Hands-on experience developing or supporting enterprise visualization tools such as Amazon QuickSight, Microsoft Power BI, Tableau, or Looker.
- Data Warehousing & ETL: Solid understanding of data warehouse concepts, ETL/ELT pipeline architectures, data quality controls, and data governance standards.
- Scripting & Cloud (Preferred): Familiarity with scripting languages (Python, PowerShell, Bash), REST API integrations, Snowflake, or AWS cloud services.
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Driven to be Earth's most customer-centric company, Earth's best employer, and Earth's safest place to work, Amazon continually innovates across global operations, e-commerce, cloud computing, and digital services.