Business Intelligence Engineer, LMAQ-BI

When you attract people who have the DNA of pioneers and the DNA of explorers, you build a company of like-minded people who want to invent. And that’s what they think about when they get up in the morning: how are we going to work backwards from customers and build a great service or a great product” – Jeff Bezos
Amazon.com’s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? In order to make that happen, behind those millions of packages, billions of decision gets made by machines and humans. What is the accuracy of customer provided address? Do we know exact location of the address on Map? Is there a safe place? Can we make unattended delivery? Would signature be required? If the address is commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does customer have any special preference? What are other addresses that also have packages to be delivered on the same day? Are we optimizing delivery associate’s route? Does delivery associate know locality well enough? Is there an access code to get inside building? And the list simply goes on. At the core of all of it lies quality of underlying data that can help make those decisions in time. The person in this role will be a strong influencer who will ensure goal alignment with Technology, Operations, and Finance teams. This role will serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy, dynamic individual with both stamina and mental quickness to be able to work and thrive in a fast-paced, high-growth global organization. Excellent communication skills and executive presence to get in front of VPs and SVPs across Amazon will be imperative.

Key Strategic Objectives: Amazon is seeking an experienced leader to own the vision for quality improvement through global address management programs. As a Business Intelligence Engineer of Amazon last mile quality team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience. As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience.

The successful candidate will be able to:
- Effectively manage customer expectations and resolve conflicts that balance client and company needs.
- Develop process to effectively maintain and disseminate project information to stakeholders.


- Be successful in a delivery focused environment and determining the right processes to make the team successful.


- This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done.


- Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment.

- Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams.

- Support the scalable growth of the company by developing and enabling the success of the Operations leadership team.


- Serve as a role model for Amazon Leadership Principles inside and outside the organization


- Actively seek to implement and distribute best practices across the operation

Key job responsibilities
1. Lead continuous insights and analytics efforts, leveraging strong triaging skills, to identify opportunities and improvement areas for enhancing the Driver Partner (DP) experience.
2. Conduct log analysis to gather and interpret data from various sources, including station feedback forms and social media, for a comprehensive understanding of DP pain points.
3. Demonstrate proficiency in app bug reproduction, utilizing technical expertise to identify emerging defects and risks affecting the DP experience.
4. Collaborate proactively with WW partner teams to stay ahead of DP experience trends, new defects, and risks. Utilize data-driven insights to initiate end-to-end deep dives that strategically address and resolve issues.
5. Create and utilize straightforward reports from multiple listening channels and data sources, using SQL for weekly and monthly business reviews at the team level, and build Quicksight to present it to stakeholders.
6. Take ownership of preparing recurring data-driven business reviews at the workflow level, ensuring coordination with teams for data collection, preparing comprehensive business overviews, and presenting project updates.
7. Present deep dive analyses to stakeholders, providing clear visibility into key defects and DP issues. Offer actionable insights to drive meaningful improvements.
8. Collaborate closely with partner teams, including the Tech Team and Small-Scale Automation, to identify opportunities for reducing manual effort. Drive improvements impacting key metrics like compliance accuracy, productivity, errors, and process gaps.
9. Demonstrate strong adherence to Amazon's deep dive principle, ensuring a thorough investigation and understanding of issues to implement effective solutions.
10. Embrace the ownership principle by actively participating in deep dives and escalations related to Flex processes. Create action plans within the functional area and take ownership of implementing specific actions or process changes.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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