Amazon Business Intelligence Engineer Ring Data Science Engineering 

India, Karnataka, Bengaluru 

265397267

You will develop models and tools, conduct statistical analyses, evaluate large data sets, and create tailored models and dashboards. Additionally, you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics. You will be structuring ambiguous problems and designing analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements to marketing campaign optimization, customer servicing trending, and competitive research.Key job responsibilities
- Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format- Analyze large data sets using a variety of database query and visualization tools
- Provide technical expertise in extracting, integrating, and analyzing critical data
- Anticipate, identify, structure, and solve critical problems
- Design and develop key performance metrics and indicators using standardized and custom reports- Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base
- Partner with subject matter experts to document and translate business requirements into technical requirements
- Manage multiple projects and proactively communicates issues, priorities, and objectives
- Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base
- Partner with BI architects to provide valuable inputs to remodel the existing data warehouse.

- 3+ 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 in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling