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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 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 routing analytics program. The LMAQ- BI team needs an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as outstanding business acumen and the ability to work with quantitative and business teams. Our top candidate will be a self-starter comfortable forging their own trail, with a sharp eye for details, an ability to work in a fast-paced and ever-changing environment, and the ability to communicate effectively with senior leadership.
As a Business Analyst, you will work with our team to create analytical tools that will ultimately be a key driver in driving efficiency through KPIs.
The successful candidate will be able to:
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· 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/tech roadmaps based on this strategy along with your teams.
· Serve as a role model for Amazon Leadership Principles inside and outside the organization
· Actively seek to implement and distribute best practices
BASIC QUALIFICATIONS
· 1+ years of experience in financial/business analysis
· Experience with SQL or ETL
· Experience defining requirements and using data and metrics to draw business insights
· 2+ years of experience as an analyst or engineer in the data/BI space
· Experience managing a data or BI team
· Experience leading and influencing the BI strategy of your team or organization
· Experience working directly with business stakeholders to translate between data and business needs
· Experience with basic DS skills using Python or R or similar tools
· Experience with data visualization using Tableau, Quicksight, or similar tools
PREFERRED QUALIFICATIONS
· 3+ years of relevant experience in a business analyst, data analyst or statistical analysis role
· Advanced technical or business degree (MS or MBA)
· Experience in developing requirements and formulating business metrics for reporting, familiarity with data visualization using Tableau


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