DESCRIPTION

Amazon Payment Products team creates and manages a global portfolio of products, including co-branded credit cards, installment financing, third party redemptions, and financial services marketplaces.
Within this team we are looking for an outstanding Business Intelligence Engineer with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product, business, and marketing decisions and identify new growth opportunities through data-driven insights. The candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team.

Key job responsibilities
Key job responsibilities
Core Responsibilities includes but not restricted to:
§ Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions.
§ Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling
§ Evolve organization wide Self-Service platforms
§ Building metrics to analyze key inputs to forecasting systems
§ Leading complex analytical deep dives (Segmentation, A/B testing)
§ Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

BASIC QUALIFICATIONS

– Bachelor’s degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
– 8+ years of relevant experience in Data engineering, database engineering, business intelligence or business analytics
– 6+ years of hands-on experience in writing complex, highly-optimized queries across large data sets
– 2+ years of experience in scripting languages like Python etc.
– Demonstrated strength in data modeling, ETL development, and Data warehousing
– Experience with Big Data Technologies (Hadoop, Hive, Pig, Spark, etc.)
– Experience in working and delivering end-to-end projects independently
– Knowledge of distributed systems as it pertains to data storage and computing

PREFERRED QUALIFICATIONS

– Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
– Experience providing technical leadership and mentoring other engineers for best practices on data engineering
– Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
– Masters in computer science, mathematics, statistics, economics, or other quantitative fields.