Business Intelligence Engineer

Job description

DESCRIPTION

Do you want to change the world? Alexa and Echo are shaping the future of voice recognition and cloud-based content/services. Alexa is the name of the Amazon cloud-based voice service and the brain that powers Echo, the award-winning and groundbreaking Amazon device designed around your voice. Echo connects to Alexa, to provide information, answer questions, play music, read the news, check sports scores or the weather, and more—instantly. It's hands-free, and always ready. All you have to do is ask.

To achieve this, we blend of a variety of disciplines (such as NLP, data mining, machine learning, big data, semantic web, graph stores, cloud computing) in an effort to understand our customers and the things they're excited about. To complement our complex algorithms and extensive data analyses, we create elevated and inspirational mobile and web features across the entire communication experience. We use artificial intelligence, data mining and usability studies to develop new features, and we test them through hundreds of R & D experiments a year. We are also incredibly intent on solving some of the most complex computing problems to be found in industry and academia, and we get to test our solutions in the real world every day. And most importantly, we relentlessly ask: "What haven't we thought of yet?"

Our BIE duties & Responsibilities will include:
· Define and deliver analyses and reports that supports the analytical needs of internal business leaders.
· Use analytical insights to help increase teams effectiveness against key strategic goals.
· Define process/methodology to help measure KPIs for the organization and provide an environment where key trends are recognized and acted-upon proactively.
· Identify and implement new capabilities and best practices to develop and improve automated data analysis processes
· Ensure clear communication and coordination across the product, engineering and central BI teams. Effectively collaborate with product managers to make critical product decisions and engineering to instrument key features.
· Quickly build a thorough understanding of Alexa customer base- feature preference, device preference, seasonality, global trends etc.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in math, statistics, computer science, or finance or equivalent experience.
· 5+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst
· 3+ years of experience in R or Python (NumPy, SciPy)
· Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with big data technologies and large-scale, complex datasets.
· Experience in complex data analysis (model creation, A/B testing, etc.)
· Verbal/written communication & data presentation skills, including experience to effectively communicate with both business and technical teams.