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.

Key job responsibilities

• Applying your deep analytic and business skill to extract meaningful insights from large, complicated datasets.

• 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.

Basic Qualifications

• Bachelor’s degree in Business, Engineering, statistics, Computer Science, Mathematics, Economics, Data Science, or related field or equivalent experience.

• 2+ year of relevant professional experience working with data and applied analytics.

• Excellent communication (verbal/written) and data presentation skills and demonstrated ability to successfully partner with business and technical teams.

• Advanced SQL knowledge for ETLM operations.

• Experience with data visualisation 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.

Preferred Qualifications

• Master’s degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field

• 3+ years of relevant professional experience working with data and applied analytics.

• Experience with at least one statistical programming language such as Python, Julia, or R.

• Experience working with test/control methodology, time-series forecast, and/or machine learning techniques.

• Experience working with AWS big data technologies (e.g., EMR, Redshift, S3, Glue, Kinesis and Lambda)

• Prior experience in tech, e-commerce, retail, or finance/banking industry