BI Engineer II, Data Analytics, Global Data Analytics (GDA)

Job Role: BI Engineer II, Data Analytics, Global Data Analytics (GDA) Company Name: Amazon Work Location: Pune, Maharashtra, India (Hybrid / Office Hub) Job Type: Full-Time Experience: 5+ Years Qualification: Bachelor's degree required (Master's degree in BI, Finance, Engineering, CS, or Math preferred) Package: Competitive Corporate Salary Scale Skills: Advanced SQL, Amazon QuickSight / Tableau, Python Data Processing, Data Warehouse Architecture (Redshift), GenAI / LLM Engineering (Bedrock), Business Metric Governance Apply Link: https://www.amazon.jobs/en/jobs/10451640/bi-engineer-ii-data-analytics-global-data-analytics-gda Company Logo URL: Not explicitly provided in structural text snippet. Job Description:

About the Role

The Global Data Analytics (GDA) organization is looking for a senior-tier Business Intelligence Engineer II to manage high-visibility reporting scopes inside Amazon’s Finance Operations. This role acts as a primary analytics custodian, delivering automated near real-time insights to finance directors worldwide. You will sit directly next to business process owners, using generative AI tooling as a force multiplier to transform traditional ticket-based data lookups into interactive, self-serve client platforms.

Key Responsibilities

• Stakeholder Interlock: Partner alongside Global AR and AP operational leadership to structure fluid business anomalies into bounded, trackable data parameters.
• Insight Layer Governance: Draft advanced optimized SQL scripts to map trusted metrics and maintain cross-geographical Amazon QuickSight reporting arrays.
• AI Automation Deployment: Program natural-language analytics workflows, utilizing LLM engines to auto-generate weekly performance narratives and flag hidden anomalies.
• Self-Serve Product Design: Layer specialized corporate AI assistants (Bedrock or QuickSight Q integrations) over clean relational tables to deprecate reactive analyst queues.
• Data Truth Custodianship: Formulate unified operational definitions for key cash metrics, collaborating with Data Engineers on core dimensional modeling strategies.
• Workflow Optimization: Scan global reporting frameworks for optimization opportunities, tracking programmatic efficiency gains against baseline manual efforts.

Required Qualifications & Capabilities

• Database Architecture: 5+ years extracting and modeling massive data collections inside enterprise infrastructure (Redshift, Oracle, or modern NoSQL warehouses).
• Visualization Mastery: 5+ years creating executive dashboards with Tableau Desktop, QuickSight, or comparable business layer tooling.
• Data Processing Stack: Professional fluency writing highly complex multi-table joins alongside Python scripts to extract, structure, and stage modeling records.
• Mathematical Literacy: Strong conceptual grasp covering statistical modeling, core quantitative metrics tracking, and dimensional warehouse principles.
• Ambiguity Fluency: Proven capacity to execute product deliverables with minimal structural oversight while interpreting loose, unmapped business parameters.