Hundreds of millions of customers, billions of transactions, petabytes of data… How to use the world’s richest collection of e-commerce and device usage data to acquire new customers, drive engagement and grow Prime - ultimately to drive the growth engine for our customers across all the Emerging markets.
Amazon’s Emerging Markets Prime, Lifecycle & XCM team (EMXO PLX) team seeks a Sr. Business Intelligence Engineer focusing on solving strategic & complex problems to help build linkages on what drives customer growth in sync with the various marketing initiatives, incentivization programs, store inputs and ultimately build frameworks which will help improve our investment strategies to make them more efficient and effective. At the core of it, we focus on building intelligence on how much to invest, where and what is the ROI while we invest millions of dollars across all EMs and keep a track on customer growth outcomes.
Amazon.com has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.
As a Sr. BIE in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining techniques as well as use statistical and machine learning techniques. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.
Responsibilities
- Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management
- You will need to have an AI first mindset in evolving and becoming more agile with business analytical requirements
- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area
- Innovate by adapting new modeling techniques and procedures
- You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets.
- You will extract huge volumes of data from various sources and message streams and construct complex analyses. You will implement data flow solutions that process data real time on message streams from source systems.
- You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.
- You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training.
- You will mentor junior resources in building scalable systems, drive a lot of automation by converting existing resources into Quick dashboards
Internal job description Please reach out to dospreet@ for exploring this position further.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Knowledge of data warehousing and data modeling
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