Business Intelligence Engineer , Isft

DESCRIPTION The International FP&A Business Intelligence is looking for a passionate and solution oriented Business Intelligence Engineer to run analytical solutions that deepen our collective understanding of customers, influence innovation, and deliver actionable insights.
In this role you will:
- Work closely with cross functional teams, Product and other Data Engineers across the Retail organization.
- Use analytic tools and languages (notably SQL), and present analytical results and insights using multiple methods, including written summaries and visualization/reporting tools such as Tableau
- Build scalable solutions/self-serve platforms that will provide data/KPIs to inform business decision making
- Investigate data sources across Amazon and expand existing device data infrastructure
. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the device customer engagement, sales and marketing roadmap.
· Develop a thorough understanding of customer behavior, competitive product trends, and business drivers to inform decision making
· Analyze key insight trends and build models that predict customer behavior, using statistical rigor to simplify and provide thought leadership to device product and marketing groups
· Collaborate with finance and product management as a leader of ongoing analytical support
· Collect, analyze and share data to help product teams drive improvement in key business metrics and customer experience
- Propose and prioritize changes to reporting and create additional metrics and processes based on program changes and customer requirements
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA BASIC QUALIFICATIONS - 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