Sr. Analytics Lead - Customer Analytics

3+ months agoWindhof, Luxembourg


Alexa is Amazon's intelligent assistant that powers Echo and many other Alexa enabled devices. Customers tell us that they want Alexa with them everywhere... at home, on the go, and at work. Do you believe that voice is the computing interface of the future and want to be part of the next great wave of computing innovation? Do you want to work at the company leading this transformation, and so many others? Amazon seeks pioneers who innovate on behalf of our customers, have unrelenting tenacity to get things done, and have fun doing it!

The Alexa International team is looking for a Senior Business Intelligence Engineer to measure, analyze, and deliver actionable insights that drive customer engagement and satisfaction while growing operational productivity across the Alexa International organization. A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results across a variety of stakeholders in a fast paced environment. They/they will be an expert in SQL/ETL and data manipulation, with a proven track record of connecting data insights to business impact. They/they will be able to present analytical results and insights clearly using multiple methods, including written summaries and visualization/reporting tools such as Tableau. The candidate will also have an eye for optimization and automation in reporting.

Key responsibilities include:
• 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.


• Bachelor's degree in math, computer science, engineering, finance, statistics, or a related technical field.
• 5+ years of 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 skills


• 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. is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Job ID: Amazon-1467446