Join Amazon as a Business Intelligence Engineer – Data Analytics Role in Last Mile Operations
Job Title: Business Intelligence Engineer – Last Mile
Company: Amazon Development Center India (ADCI), HYD 13 SEZ
Job ID: 2902015
Location: Hyderabad, Telangana, India
Amazon is on a mission to redefine the future of delivery—and we need brilliant minds to make it happen. Join our Last Mile Routing & Planning organization as a Business Intelligence Engineer (BIE) and help build the data-driven technologies that deliver smiles to customers around the world.
Our team builds scalable systems, smart algorithms, and analytical tools that optimize how packages are sorted, routed, and dispatched to ensure safe, efficient, and on-time delivery. Whether it’s Amazon Logistics, Amazon Fresh, Prime Now, Amazon Flex, or upcoming initiatives, the intelligence behind every delivery decision starts with data—and that’s where you come in.
Role Overview
As a Business Intelligence Engineer in the Last Mile Science & Technology organization, you will be a key driver of innovation and operational excellence. You will collaborate with cross-functional teams—Product Managers, Software Engineers, and Data Scientists—to transform complex data into strategic insights that fuel Amazon’s Last Mile delivery network.
You will take ownership of designing analytical frameworks, building dashboards, leading data-driven projects, and presenting findings to senior leadership. The ideal candidate has a deep understanding of data analytics, business operations, and a strong grasp of visualization and statistical modeling techniques.
Key Responsibilities
- Design, develop, and maintain robust data models, dashboards, and metrics that provide actionable insights.
- Use statistical analysis and data mining techniques to solve complex business problems and optimize delivery systems.
- Translate business challenges into analytical frameworks and deliver data-backed recommendations.
- Collaborate with Data Scientists, Product Managers, and Engineering teams to improve planning algorithms and routing accuracy.
- Build automated tools and self-service analytics platforms to support decision-making across teams.
- Present findings, reports, and recommendations to senior stakeholders with clarity and precision.
- Provide guidance to junior team members while actively supporting the advancement and standardization of data science methodologies.
- Navigate ambiguity, manage multiple priorities, and deliver scalable solutions in a fast-paced environment.
Basic Qualifications
The ideal candidate for this role will possess the following core qualifications:
- At least 2 years of hands-on experience analyzing and interpreting large datasets using databases like Redshift, Oracle, NoSQL, etc.
- Proficiency in data visualization tools such as Tableau, QuickSight, Power BI, MicroStrategy, or similar.
- Strong working knowledge of statistical methods including t-tests, Chi-square analysis, and correlation techniques.
- Experience using scripting languages such as Python, R, or Java for data transformation, manipulation, and automation.
Preferred Qualifications
Candidates with the following additional qualifications will be viewed favorably:
- A Master’s degree or advanced technical degree in Computer Science, Statistics, Engineering, or a related discipline.
- Deep understanding of data modeling principles and experience designing efficient data pipelines.
- Experience applying predictive analytics or machine learning models to large-scale business problems.
- Strong business acumen with the ability to connect analytics to operations and strategy.
- Experience in logistics, supply chain, or e-commerce analytics.
- A passion for experimentation and continuous learning in the field of business intelligence and data science.
A Day in the Life
As a Business Intelligence Engineer in Amazon’s Last Mile team, your day starts by diving into dashboards, reviewing key performance indicators (KPIs), and evaluating anomalies. You’ll work with large-scale datasets generated by billions of daily delivery decisions, often partnering with Product Managers to understand emerging challenges and identify opportunities.
You may spend part of your day writing SQL queries or Python scripts to analyze driver route efficiency, simulate optimization models, or troubleshoot bottlenecks in delivery windows. In the afternoon, you might meet with Data Scientists and Engineers to refine data pipelines or present data visualizations to executive stakeholders.
Every task you perform contributes to reducing delivery costs, improving delivery quality, and enhancing customer satisfaction—while directly shaping the future of logistics.
About the Team
The Last Mile Science & Technology team operates at the heart of Amazon’s logistics innovation. We’re responsible for building the systems that plan every detail of the delivery journey—from where a package is sorted to how it’s routed and delivered.
We work on high-impact projects with real-time performance demands and massive scale. Our work drives the performance of Amazon Logistics, Prime Now, Amazon Fresh, Amazon Flex, Lockers, and many other last mile services across the globe.
Our diverse team of BIEs, Data Scientists, Product Managers, and Engineers thrives in a culture that values experimentation, speed, and precision. Together, we solve some of the most challenging problems in global logistics using data, science, and engineering.
Work Culture & Inclusion
At Amazon, diversity is more than a commitment—it’s a strength. We foster an inclusive workplace where all employees are empowered to perform at their best.
If you have a disability and require accommodations during the application or onboarding process, Amazon will provide the necessary support. Visit our Accommodations Portal or contact your Recruiting Partner for more information.
Why Join Amazon as a Business Intelligence Engineer?
- Global Impact: Influence last mile delivery operations that serve millions of customers worldwide.
- Career Growth: Thrive in a data-driven culture that values innovation, ownership, and leadership.
- Challenging Work: Solve high-impact problems using advanced analytics, big data, and real-time systems.
- Collaborative Environment: Work with some of the brightest minds in technology and data science.
- Cutting-Edge Tools: Access Amazon’s robust infrastructure, proprietary tools, and scalable technologies.
Conclusion
If you’re passionate about turning complex data into actionable business insights, enjoy working at the intersection of analytics and operations, and want to help shape the future of delivery, the Business Intelligence Engineer role in Amazon’s Last Mile team is the opportunity for you.
Submit your application now and become a key contributor to enhancing delivery experiences for millions of Amazon customers globally.