Job Description

• Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Knowledge of data modeling and data pipeline design
• Experience in one of the data visualization tools (e.g. Quicksight, Tableau or Qlik)
• Experience in scripting for automation (e.g. Python)
• Experience analyzing and communicating results to senior leadership


Amazon's Digital and Emerging Payments team develops global services to create and improve the customer paying experience. Measuring customer behavior, developing insights and monitoring our success requires large amounts of data.

We're currently looking for a smart, motivated, and driven Business Intelligence Engineer to focus on improving the success of our products. This is an opportunity to join a group with a broad charter and stakeholders across Amazon to directly influence the customer experience for Amazon products worldwide. This role offers exciting challenges and the opportunity to influence and drive a growing business area. A successful candidate loves problem solving, obsesses over data, and has a track record of using data to influence successful business decisions.

Payments team is working on a broad strategy to expand its data architecture and reporting infrastructure. We continuously monitor and set goals against critical business metrics such as cost of payments, purchase success rates and customer contact rates. If you are ready to take on a BIE role that requires to make high judgement decision, handle large scope with high visibility, and enjoy moving at a fast pace, please reach out to learn more from us.



Key job responsibilities



You will:

• Develop payment metrics: Design, develop and maintain reporting solution for Payment metrics for new and existing payment products. Work with Data engineers and Product managers to define reporting needs.
• Built Self-Service BI: Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull most granular data for defect verification, customer communication, deep-dive etc.
• Automation & Operation excellence: Build automation tools, support our AWS infrastructure for compliance implementation, upgrades and optimization.
• Deep dive analysis: Interacting with internal stakeholders to lead business reviews and deep dive analyses. Find and merge disperse data sources to find useful insights.


You are:

• Customer obsessed: You have a sharp business acumen and are passionate about changing the way customers used data to drive success.
• Work independently and comfortable with ambiguity: Work independently on a project once the outcome is decided. Capable of working on multiple projects, provide status updates and prioritize work independently. Set expectations, provide ETAs and update status to various stakeholders.
• Design & develop best in class solutions: Design best in class data pipelines, automation and reporting solutions that are efficient, scalable, extensible and create automated monitoring and alerts to reduce human intervention.


About the team

Our team is mix of BIEs, Business Analyst and sister team is mix of data engineers and data scientist with wide range of experience in visualisation, data analytics, data modeling and ETL. A candidate will get experience working on variety of problem statements from AWS infrastructure management, launch reporting, deep-dive analysis to advance analytics. Also get exposure to interact with stakeholders available worldwide.



• Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
• Experience with AWS technologies such as Redshift, S3, Lambda, EC2, EMR etc.