The Fire Tablet Insights team is seeking a customer focused, analytically, and technically skilled Business Intelligence Engineer to help shape the future of the tablet business.
The team’s success depends on our ability to create actionable insights from the data that that our customers generate. A BIE in our team requires the ability to dive deep into large amounts of data, have good business intuition, curiosity, and grit to deal with ambiguity, and the desire to influence strategic decisions with data-driven analysis and insights.
Key job responsibilities
- Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format
- Architect standardized data models in the data warehouse for analysis and long-term reporting
- Work with product teams to identify gaps and trends
- Analyze large data sets using a variety of database query and visualization tools
- Provide technical expertise in extracting, integrating, and analyzing critical data
- Design and develop key performance metrics and indicators using standardized and custom reports
- Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases
- Clearly communicate any potential discrepancies and / or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base
- Work with subject matter experts to document and translate business requirements into technical requirements
- Manage multiple projects and proactively communicate issues, priorities, and objectives
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
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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