Sr. Business Intelligence Engineer, Amazon Devices

Global technology company leading in e-commerce, cloud computing, digital streaming, and artificial intelligence.
Data
Senior Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Consumer
This job posting may no longer be active. You may be interested in these related jobs instead:
Senior Data Engineer, AWS Fintech

Senior Data Engineer role at AWS Fintech building large-scale financial data systems and processing billions of transactions daily.

Sr Data Engineer, Partner Experience

Senior Data Engineer position at Amazon Prime Video, building and maintaining data infrastructure for partner experience products using AWS services and big data technologies.

Senior Robotics Business Intelligence Engineer

Senior Robotics Business Intelligence Engineer role at Amazon Robotics, focusing on data analysis and insights for warehouse automation technology.

Sr. Business Intelligence Engineer, AWS DC Bridge

Senior Business Intelligence Engineer role at AWS DC Bridge team, focusing on data analysis and insights for AWS data centers, offering competitive pay and benefits.

Advertising Business Intelligence Engineer, Amazon Business Ads

Senior Business Intelligence Engineer role at Amazon Business Ads, focusing on data analytics and business strategy for advertising solutions.

Description For Sr. Business Intelligence Engineer, Amazon Devices

Amazon Devices is seeking a Senior Business Intelligence Engineer to join their International Devices Data Services (IDDS) team. This role offers a unique opportunity to work with big data across Amazon's diverse device ecosystem, including Kindle, FireTV, and Echo/Alexa products. The position focuses on enabling data-driven decision-making by providing data, reporting, and actionable insights to business stakeholders across APAC, Brazil, EU, and India regions.

The ideal candidate will combine excellent technical expertise in SQL, ETL, and data visualization tools with strong analytical and communication skills. You'll work closely with Sales & Marketing teams, collaborating across the Amazon Devices organization to deliver impactful solutions. The role involves building scalable reporting solutions, developing automated BI tools, and translating complex data insights into actionable business recommendations.

As part of the IDDS team, you'll join a diverse group of Business Intelligence Engineers, Data Engineers, and Technical Program Managers who own data-driven solutions end-to-end. The team leverages a wide range of technologies and AWS services to deploy solutions at scale, making this an excellent opportunity for someone passionate about big data analytics and its application in driving business growth.

The position offers the chance to work with various Amazon products and services, including Alexa, Prime, and Prime Video, providing exposure to multiple data sources and business contexts. You'll be instrumental in shaping sales and marketing roadmaps through data-driven insights while working in a collaborative, international environment that values innovation and technical excellence.

Last updated 3 months ago

Responsibilities For Sr. Business Intelligence Engineer, Amazon Devices

  • Build scalable reporting solutions and self-serve tools for data/KPIs
  • Design, develop, and maintain metrics, reports, analyses, and dashboards
  • Identify and execute analyses to uncover opportunities and present business recommendations
  • Automate manual processes through scripting
  • Champion best practices in data acquisition and quality improvement
  • Work with big data to drive customer insights
  • Collaborate with business stakeholders as a subject matter expert
  • Write clear narrative documents translating complex analytics for business audience

Requirements For Sr. Business Intelligence Engineer, Amazon Devices

Python
  • 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
  • Experience with AWS technologies
  • Experience in scripting for automation (Python) and advanced SQL skills
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining

Interested in this job?