Business Intelligence Engineer, DSP Analytics

Amazon Hyderabad’s interview process typically begins with an online coding assessment, followed by a technical phone screen focusing on SQL, data modeling, and analytics case studies. Onsite rounds include deep‑dive technical questions, system design for data pipelines, and behavioral interviews centered on Amazon's Leadership Principles. Candidates should practice clear, structured communication and be ready to discuss real‑world data problems.

Amazon Hyderabad promotes a high‑energy, data‑driven culture where engineers are encouraged to experiment and own end‑to‑end solutions. Employees benefit from mentorship programs, clear career ladders, and a flexible work‑from‑office model that balances collaboration with personal productivity.

Bachelor's or Master's degree in Computer Science, Information Systems, Statistics, Engineering or related fields; minimum 60% aggregate or CGPA 6.0/10; graduating batch 2024‑2026; no active backlogs; strong analytical mindset and communication skills.

Round 1: Online Assessment (coding & logical reasoning) → Round 2: Technical Phone/Video Interview (SQL, data modeling, analytics case study) → Round 3: Onsite Interviews (multiple technical rounds + leadership principles) → Round 4: HR/Offer Discussion

Amazon is a global e‑commerce and cloud‑computing giant that has consistently redefined how products are bought, delivered and consumed. In India, Amazon operates one of the largest fulfillment networks, a rapidly expanding Amazon Web Services (AWS) ecosystem, and a vibrant Delivery Service Partner (DSP) program that empowers entrepreneurs to run their own last‑mile delivery businesses. The Hyderabad Development Center is a key engineering hub, housing teams that build data‑driven products, scale massive workloads on AWS, and innovate on customer‑centric solutions. Employees enjoy a fast‑paced environment, exposure to cutting‑edge technologies, and a culture that prizes ownership, customer obsession, and continuous learning. The Business Intelligence Engineer (BIE) for DSP Analytics will be at the heart of Amazon’s effort to improve the performance of its DSP partners. The role involves designing end‑to‑end analytics pipelines, building self‑serve dashboards, and translating complex data into actionable insights that directly influence delivery speed, cost efficiency, and customer satisfaction. Working closely with product managers, engineers, and senior leadership, the BIE will help shape the analytics roadmap, prioritize high‑impact projects, and ensure that data products are reliable, scalable, and cost‑effective. Key Responsibilities: 1. Lead the design, implementation, and delivery of BI solutions for Delivery Feedback/Insights (DFI) and DSP performance metrics. 2. Own full project lifecycles—from stakeholder requirement gathering to data modeling, ETL development, and insight communication. 3. Extract, transform, and load data from heterogeneous sources using SQL, Python/Java scripts, and Amazon‑specific ETL tools. 4. Build and maintain automated reporting dashboards in Tableau, QuickSight, or PowerBI for internal and partner consumption. 5. Conduct statistical analysis (t‑tests, chi‑squared, correlation) to surface trends and recommend data‑driven actions. 6. Leverage Amazon data platforms such as Redshift, S3, and internal data lakes to ensure high‑performance data pipelines. 7. Collaborate with engineering and product teams to define data requirements, validate models, and iterate on solutions. 8. Communicate findings clearly to senior leadership, translating technical results into business impact. 9. Mentor junior analysts on best practices in data modeling, visualization, and storytelling. 10. Continuously monitor and optimize data pipelines for cost, latency, and reliability. Tech Stack: Amazon Redshift, AWS S3, AWS Glue, SQL, Python/Java, Tableau, QuickSight, PowerBI, NoSQL databases, statistical libraries (pandas, scipy), Git, CI/CD pipelines. Growth Path: Starting as a BIE, high performers can progress to Senior BIE, Analytics Lead, or Product Manager roles within the DSP organization, with opportunities to move into broader Amazon data‑science or AWS product teams. Why Join Amazon? Amazon offers unparalleled scale, a culture of innovation, and a clear path for career advancement. As a BIE in the DSP Analytics team, you will directly influence the efficiency of millions of deliveries, work with world‑class engineers, and gain deep expertise in cloud‑native data platforms—all while enjoying competitive compensation and comprehensive benefits.