Sr. Business Intelligence Engineer, Alexa International

· 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., Alexa International BI team owns and supports all data, analytical and reporting requests from EMEA Country teams. Alexa International BI works closely with business stakeholders across EMEA org, Alexa central BI/DE teams, Alexa Domain BI teams, Device BI teams.

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., · 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 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., 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

PREFERRED QUALIFICATIONS

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

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