Amazon Sr Business Intelligence Engineer Books Content Demand 

United States, Washington, Seattle 

423953958

Key job responsibilities
• Write high quality optimized SQL to retrieve and analyze data from relational databases (ex. Redshift, MySQL, S3)
• Identify technical solutions to solve the business problem including evaluation of platform/dashboard required, technical solution review, data design approach review, validation, code review, UAT testing and launch in line with best practices
• Work closely with Data Engineers and business users to design and build ETL’s for clean and scalable data sources required for analytics and reporting
•Lead complex data analysis projects to identify opportunities for improvement and optimization
· Drive seamless data/reporting and insights to enable data backed decision making, and drive leadership clarity around business metrics by enabling MBRs/QBRs/Pillar reviews/OP1 discussions.
·Design, develop, and maintain real-time metrics, reports, analyses, dashboards, with full audit capabilities to support key business decisions for Books initiatives
· Mentor and guide junior team members in data analysis and process improvement methodologies
· Assist in the development and execution of strategic initiatives and analytical roadmapsA day in the life
The day in the life of a BIE would involve managing multiple BI projects in a particular/multiple domains for Amazon Books, with a particular focus on disrupting societal biases across various stages of different projects. Day-to-day activities to include meetings across stakeholders on understanding business requirements, connecting with SDE’s/ BIEs/ DE’s to identify source data tables, brainstorming with Tech team on potential technical solutions/actions, data design review with BIEs, sprint prioritization reviews, code review with fellow BIEs and driving insights and documentation.Seattle, WA, USA

· 5+ years of experience as an analyst or engineer in the data/BI space with proven quantitative orientation
· Advanced skills in SQL, ETL, Data Warehouse solutions and databases
· Experience working directly with business stakeholders to translate between data and business needs
· In-depth experience with data visualization using Tableau, Quicksight, or similar tools
· Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or a related discipline
· Experience/knowledge of AWS technologies like Glue, Sagemaker, EMR or other similar non AWS services such as databricks/Azure alternatives.
· Experience/knowledge of orchestration tools such as AWS step functions or airflow
· Advance expertise in building measures and metrics, and developing reporting solutions
· Proven ability to structure complex analysis and perform the analysis to drive insights
· Strong experience with statistical analytics and programming languages such as R, Python, PySpark or Spark
· Strong written and verbal communication skills

· Master’s degree or higher in Statistics, Data Science, or an equivalent quantitative field
· Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
· Experience communicating results and business impact of analytical deep dives to senior leadership
· Experience working as a BIE in a technology company
· Proven work with science and engineering teams
· Experience working in DEI analytics