Business Intelligence Engineer
Amazon
Business Intelligence Engineer
Amazon
Sells products online and rents cloud computing
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. Every day, Amazon delivers millions of packages to customers around the world with clock-like precision. Behind every successful delivery, billions of decisions are made by systems and by people in real time. Is the customer's address accurate? Can we pinpoint it on a map? Is an unattended delivery safe? Is there an access code for the building? What are the business hours if it's a commercial address? How do we optimize a delivery associate's route across dozens of stops? The list 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 LM 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
- Metric Reporting
- Dashboard Development
- Scalable Data Pipelines
- Workflow Automation
- Experiment Design & Analysis
- Deep Dive Analysis
- Insight Generation
- Product Improvement Identification
- Opportunity & Problem Sizing
- Predictive Modeling & Forecasting
- Statistical Analysis & Hypothesis Testing
- Causal Inference & Impact Measurement
- Hands on experience on AWS Services
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience with scripting language (e.g., Python, Java, or R)
- 2+ years of data modeling experience
- Implement and maintain GenAI-driven analytics workflows to democratize access to insights across the team.
- Independently work to gather requirements from business partners, translating ambiguous questions into structured ,scalable analytical frameworks.
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience in designing and implementing custom reporting systems using automation tools
- Knowledge of data modeling and data pipeline design
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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