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Amazon Business Intelligence Engineer Middle East APAC payments 
India, Karnataka, Bengaluru 
928524767

Yesterday
DESCRIPTION

Reach out through informational request rather than directly reaching out to hiring manager.Key job responsibilities
You will:• Lead and develop payment metrics: Lead and design reporting solution for Payment metrics for new and existing payment products. Work with Data engineers, Software engineers and Product managers to define reporting needs.
• Build 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.
• Perform data analysis: Perform deep-dive and data analysis. Provide recommendation on new metrics or business decision. Create marketing performance measurement tools and prove-disprove hypothesis
• Run DSI Analysis: Learn Payment DSI methodology, run DSI ML models created by science team, gather input data, define parameters and publish results to stakeholders.
• Work together with peers, provide inputs in team and org level strategic planning, lead cross org discussionsYou 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 incomplete, unstructured and ambiguous requirements.• Design & develop best in class solutions: Design best in class data pipelines and reporting solutions that are efficient, scalable, extensible and create automated monitoring and alerts to reduce human intervention.Learning opportunities


BASIC QUALIFICATIONS

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience with forecasting and statistical analysis
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling