Amazon Business Intelligence Engineer 

India, Karnataka 

33720790

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.

- 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

- 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.