Senior Business Intelligence Engineer, Amazon

• You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions
• You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights
• The right candidate will possess excellent business and communication skills, transform ambiguous business problems to an analytical problem and prioritize work across the team to support business outcomes, and develop solutions to key business questions
• Bachelor’s degree in Data Science, Engineering, Statistics, Mathematics or related field or equivalent experience
• 7+ year of relevant professional experience working with data and applied analytics
• Experience in programming language (e.g., Python) for automation of data extraction/processing, statistical computation, and/or web scraping. Advanced SQL knowledge for ETLM operations
• Excellent communication (verbal/written) and data presentation skills and demonstrated ability to successfully partner with business and technical teams
• Experience with data visualization using QuickSight, Tableau, or similar tools
• Demonstrated ability to work with business and technical partners to define requirements and deliver against complex business questions
• Ability to deal with ambiguity and competing objectives in a fast-paced environment

Desirable

• The WW Installments team within Amazon Payments (AP) brings together the best of analytics, machine learning, tech, business, and finance to deliver for customers across the world
• We build the foundational systems and products to enable Amazon customers with installment and related payment methods across the globe
• Our mission is to delight our customers by building payment experiences and financial services that are trusted, valued and easy to use from anywhere in any way
• Our products are growing rapidly and we are continuously adding new market-leading features and launching new customer facing ML solutions
• Our team of high caliber engineers, scientists, developers and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment, managing tradeoffs between competitiveness, click through rate, approval rates, customer friction, economic profit, and loss rates
• We leverage the wealth of Amazon’s information to build a wide range of probabilistic models, set up experiments that ensure that we are thriving to reach global optimums and leverage Amazon’s technological infrastructure to display the right offerings in real time
• Our goal is to delight our customers with their purchasing experience and our solutions improve the shopping experience for hundreds of millions of consumers worldwide accordingly
• Those of us who love to work with data see this as the pinnacle of opportunities within FinTech and the BNPL/Installment space that you cannot find anywhere else in the world
• As the Sr BIE within WW Installments, you will help advance our analytical capabilities and drive the roadmap for our key pillars
• This is a leadership role with high degree of influence working with other BIEs, DEs, and Data/Applied Scientists in one of the world's largest and most complex data warehouse environments
• Applying your deep analytic and business skill to extract meaningful insights from large, complicated datasets
• Own key executive reports and metrics that are consumed by our VPs and Directors
• Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and/or scripting
• Partner with fellow Data/Applied Scientists to implement scalable, automated infrastructure for data extraction, processing, computation, and delivery
• Work closely with data engineering and product management to deliver features to customers
• Identifying new opportunities to influence business strategy and product vision using data
• Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications
• Learn new technology and techniques to support product and process innovation
• Work through significant business and technical ambiguity delivering on analytics roadmap across the team with autonomy