Company

AmazonSee more

addressAddressLondon, England
type Form of workFull Time
CategoryIT

Job description

Job summary
Business Intelligence Engineer II, WW Ops Finance S&ADoes data platform standardization and data engineering automation driving analytics and reporting excite you?The Worldwide Operations Finance Standardization & Automation (SnA) team is looking to hire a focused & customer-centric Business Intelligence Engineer.
Job seniority: mid-to-senior level
Responsibilities
• Help identify complex business problems, opportunities and implement solutions to improve Operations Finance facing systems, processes, and tools• Responsible for setting data modeling standards, building complex data pipelines, and maintaining multiple databases• Identify complex/abstract problems and discover insights through statistical, data mining, and visualization techniques• Automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights in real-time to business teams• Collaborate effectively with business customers and cross-functional data management teams to solve problems and implement new solutions
Requirements
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field• 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience• Experience with data modeling, warehousing, and building ETL pipelines• Experience writing complex SQL queries• Experience with data visualization using Tableau, Quicksight, or similar tools• Experience using SQL and scripting (Python) to process data for modeling• Experience in Statistical Analysis packages such as R, SAS, and Matlab• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift is preferred• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets is preferred
Refer code: 2566543. Amazon - The previous day - 2024-01-21 10:31

Amazon

London, England
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