AI/ML - BI/Analytics Engineer, Engineering Metrics and Insights

Tokyo, Tokyo-to, Japan
Machine Learning and AI


Role Number:200434927
Would you like to ensure that high quality natural language processing and artificial intelligence systems are shipped to delight the Siri end customer? You will work with multi-functional engineering, project management and quality teams. You help identify product and process quality issues and deliver an outstanding Siri end customer experience. Imagine being a part of the team that is developing intelligent assistant which is helping millions of people get things done - just by asking!

Key Qualifications

  • Proven experience handling relational databases and large scale distributed systems such as Hadoop and Spark along with querying languages including SQL, Hive and SparkSQL
  • 5+ years of experience in designing and maintaining a data warehouse over a complex network of data sources.
  • Proven python coding skills to move and transform data from multiple sources to a data store/warehouse
  • Good to have statistics knowledge, such as hypothesis testing, experimental design and sample size determination
  • Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways for leadership and peers
  • Creativity to engineer novel features and signals, and to push beyond current reporting tools and approaches
  • 3+ years of experience to work with offshore and onshore teams on multiple projects/tasks as needed
  • Great teammate with a positive attitude, strong sense of empathy with ability to make decisions.


As a BI/Analytics Engineer in Engineering Metrics and Insights Team, you will support the development of metrics used to evaluate and ship the code and assets of various products, features and ML models. This team develops tools and frameworks to process, analyze and visualize data. To be successful in this role you should understand long and short term goals of the organization and define key product and process metrics accordingly. You would be analyzing data using appropriate statistical methods and tools to provide useful insights. Your ability to design crisp intuitive dashboards that communicate meaningful information to all partners makes you a reliable teammate. The Engineering Efficiency team is spread out globally, so Analytics Engineer is expected to collaborate with global partners to provide and/or seek support. You should drive daily/weekly/monthly metrics reviews as needed. Your ability to plan and complete projects on time goes a long way. You should closely partner with data engineering teams to support their understanding of requirements, challenges in order to minimize and shorten the development cycles.

Education & Experience

B.S or M.S in Computer Science, Engineering or related fields or equivalent experience

Additional Requirements