Sr.business Intelligence Engineer, Alexa Devices Business Insights

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Systems, Quality, & Security Engineering

This role is for a Senior Business Intelligence Engineer on the Alexa Devices BI team. The engineer will leverage technical and analytical skills to create data structures, develop dashboards, and drive insights to improve the Alexa experience on Echo and Smarthome devices. The role involves close collaboration with stakeholders across engineering, product, and data science teams, requiring strong technical skills (SQL, ETL, big data) and business acumen. Key responsibilities include identifying opportunities, building analytical solutions, designing analytics frameworks, executing analyses, owning metrics and dashboards, and managing projects end-to-end. The team focuses on understanding customer behaviors to guide product roadmaps and increase engagement.

What you'd actually do

  1. Work with leaders in the organization to identify opportunities and build analytical solutions that provide them with decision making capabilities and insights.
  2. Collaborate with Product and Tech teams to design analytics frameworks that will support large-scale data-analysis and correction of defects.
  3. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the direction of analytics projects/products.
  4. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools.
  5. Design and influence operational best practices for reporting and predictive analytics to enable the team to scale

Skills

Required

  • SQL
  • ETL
  • big data
  • Python
  • data analysis
  • data visualization
  • business intelligence
  • project management
  • information retrieval
  • data science
  • machine learning
  • data mining
  • design of experiments
  • statistical analysis

Nice to have

  • working directly with business stakeholders
  • translating between data and business needs
  • managing, analyzing and communicating results to senior leadership

What the JD emphasized

  • 8+ years of processing large, multi-dimensional datasets from multiple sources 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