Business Intelligence Engineer, DSP Analytics

Amazon Hyderabad typically conducts a rigorous interview process starting with an online coding assessment, followed by technical phone screens focusing on SQL, data modeling, and analytics case studies. Onsite rounds include multiple deep‑dive sessions on BI solution design, statistical analysis, and behavioral questions aligned with Amazon's Leadership Principles. Candidates should practice clear problem‑solving communication and be ready to discuss real‑world data scenarios.

Amazon Hyderabad is known for its high‑energy, data‑driven culture where engineers are encouraged to experiment and ship quickly. Employees benefit from clear career ladders, regular learning sessions, and a strong emphasis on work‑life balance through flexible hours and remote‑work options when needed. The company invests heavily in employee growth, offering internal mobility, mentorship programs, and access to Amazon's global resources.

Bachelor's or Master's degree in Computer Science, Information Technology, Electronics & Communication, or related engineering discipline; Minimum CGPA/percentage 6.5/70%; Graduating batch 2022 or later; No active backlogs at the time of joining; 2+ years of professional experience in data analysis, BI, or related fields; Strong command of English communication.

Round 1: Online Assessment (coding and logical reasoning) → Round 2: Technical Phone Interview (SQL/Analytics case study) → Round 3: Onsite Interviews (multiple rounds covering BI design, data modeling, system design, behavioral) → Round 4: HR discussion (culture fit, compensation).

Amazon is a global e‑commerce and cloud‑computing leader that has consistently reinvented the way people shop, read, and use technology. In India, Amazon operates massive fulfillment centers, a thriving marketplace, and a fast‑growing logistics arm called Delivery Service Partner (DSP). The DSP program empowers independent entrepreneurs to run their own delivery businesses while leveraging Amazon’s technology, data, and brand. Amazon’s Hyderabad Development Center is a hub for building cutting‑edge solutions that power everything from retail experiences to supply‑chain optimization, and it attracts top engineering talent from across the country. The Business Intelligence Engineer (BIE) for DSP Analytics will be a key member of the core DSP BI team. This role is responsible for turning raw data into actionable insights that improve delivery performance, reduce costs, and enhance partner satisfaction. You will work end‑to‑end on analytics projects – from data ingestion and modeling to dashboard creation and strategic recommendation – collaborating closely with product managers, engineers, and senior leadership. Key responsibilities include: 1. Lead the design, implementation, and delivery of BI solutions for Delivery Feedback/Insights (DFI) and DSP performance metrics. 2. Own the full data pipeline: extract, transform, and load data from multiple sources using SQL, Python/Scala scripts, and ETL tools. 3. Build and maintain automated, self‑serve dashboards in Amazon QuickSight/Tableau for stakeholders across the organization. 4. Conduct deep‑dive analyses, applying statistical techniques such as t‑tests and chi‑squared tests to surface trends and root‑cause drivers. 5. Translate business questions into analytical frameworks, develop data models, and deliver clear, data‑driven recommendations. 6. Partner with engineering teams to ensure data quality, latency, and scalability of warehouse solutions (Redshift, S3, Athena). 7. Communicate insights through visual storytelling, executive presentations, and written reports. 8. Mentor junior analysts, promote best practices in data governance, and champion a culture of data‑driven decision making. 9. Continuously monitor KPI health, set alerts, and iterate on metrics to align with evolving business goals. 10. Contribute to the roadmap of analytics products, influencing product strategy and prioritization. Tech stack: Amazon Redshift, AWS S3, Athena, QuickSight/Tableau, SQL, Python, Bash scripting, Git, and Agile tools (Jira). Knowledge of data modeling, dimensional design, and cloud‑native pipelines is essential. Growth path: Starting as a BIE, you can progress to Senior BIE, Analytics Lead, or move into Product Management or Data Science roles within Amazon’s logistics ecosystem. The role offers exposure to large‑scale data environments and high‑impact business problems, positioning you for leadership positions in analytics or technical program management. Why join Amazon? Amazon provides a fast‑paced, innovation‑driven environment where your work directly influences millions of customers. The Hyderabad center offers world‑class mentorship, access to cutting‑edge AWS services, and a culture that rewards ownership and customer obsession. If you thrive on solving complex data challenges and want to shape the future of last‑mile delivery, this role offers an unparalleled platform for growth.