Amazon Sr Business Intelligence Engineer Alexa International 

United Kingdom, England, London 

573621692

Key job responsibilities
· Interface with internal business customers to gather data and metrics requirements
· Own the design, development, and maintenance of ongoing metrics and reporting to deliver key business insights
· Homogenize metrics, reports and tools across business functions and automate where possible
· Create data visualizations to make data more interpretable for the business
· Develop and publish self-service tools and bridging/deep dive reports
· Own and perform individual deep dive analyses on our customers, including communicating results and implications to business leaders
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation, always insisting on the highest standards.Basic Qualifications:
· Bachelor’s degree in math, computer science, engineering, finance, statistics, or a related technical field.
· Relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field
· Experience working directly with business stakeholders to translate between data and business needs
· Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets
· Experience with data visualization using Tableau, Quicksight, or similar tools
· Ability to effectively prioritize projects, manage multiple competing priorities simultaneously, and drive projects to completion under tight deadlines.
· Excellent written and verbal communication skillsPreferred Qualifications:
· Master’s in math, computer science, engineering, finance, statistics, or a related technical field.
· Proficiency in one of the following; R, Python, SAS, STATA, MATLAB (data extraction, manipulation, statistical analysis and predictive modeling).
· Experience in data visualization and reporting, preferably in Tableau, Shiny, and/or D3.js.
· Proven track record in driving customer/developer behavior using segmentation experimentation.
· Experience working with AWS technologies including Redshift, RDS, S3, EMR, Kinesis, EC2.

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining