Business Intelligence Engineer II

Job description

DESCRIPTION

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, target existing customers, and predict customer behavior? Amazon's Consumer Marketing Analytics team seeks a Business Intelligence Engineer for the DSI (Down Stream Impact) team that is at the forefront of large scale, algorithmically driven foundation for marketing attribution. You will build data analytical solutions that will address increasingly complex business questions.

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 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 for segmentation and prediction. 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
· Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques
· Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management
· 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 should have exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
· 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.
· Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers.

Desired profile

BASIC QUALIFICATIONS

Masters required, PhD desired in either Statistics, Economics, Management OR Graduate in Industrial Engineering or Operations Research or Computer Science or a relevant quantitative discipline
· Over 4+ years of relevant experience in advanced analytics and predictive modeling across any domain or function
· At least 3+ years of hands-on experience in R, SAS, SQL or similar analytics languages
· Proven track record in understanding business problems and developing effective algorithms and solutions
· Ability to process large data sets from multiple data sources
· Experience in Predictive Analytical modeling such as regression, machine learning, or forecasting using time series or any other such techniques is preferred
· Strong analytical mindset with willingness to Innovate
· Ability to work closely with highly qualified professional as a team
· Comfortable in working with multiple operating systems
· Between 2 and 3 years' experience in relational database concepts with a solid knowledge of SQL for data extraction and processing end to end.
· Strong troubleshooting and problem solving skills