Business Intelligence Lead

Singapore, Singapore Full-time

As the Lead of Business Intelligence, you will build & lead the team that delivers data-driven solutions to support the business. You will improve our partners’ lives – including drivers, merchants and customers – by delivering analyses and building data tools, pipelines, & large-scale infrastructure. Your work will impact how people in Singapore work and move from one place to another, every single day. 

GO-JEK has a continuously evolving our data infrastructure, which includes Google Cloud Platform (especially Pub/Sub) and Kafka, and data processing tools such as BigQuery, Dataflow, Flink and Spark. You will be exposed with tons of new data processing tools and we are VERY open if you want to explore or experiment with any new tool or architecture design.


  • You and the team you build will need to:
    • Define KPIs with business/product owners and automate reports
    • Design, build, launch, and maintain extremely efficient & reliable large-scale batch and real-time data pipelines using data processing frameworks like Dataflow, Flink, Spark and Kafka to enable teams to consume and react to data more quickly
    • Design and build self-serve data tools for product and business teams
    • Balance both ad-hoc and foundational analyses to change how decisions are made across the organisation
    • Maintain high data quality standards through testing, tooling, and systematic engineering and workflow processes
  • Your first three months would involve:
    • Developing our first Tableau reports to monitor business health metrics
    • Wrangling ETL code to make sense of transactional and analytical data schemas across BigQuery, Google Cloud Storage, and more
    • Hiring and developing a small team
    • Developing a 12-month roadmap to build an effective, data-driven culture:
      • Reporting requirements
      • Scaling data tools
      • Foundational analytics on our consumers, marketplace dynamics, and product


Minimum qualifications

  • Demonstrable experience in delivering analyses and data products which impact business decisions (4+ years)
  • Experience in leading a BI / Analytics team (2-5 years)
  • Superior stakeholder engagement skills – communication and business acumen
  • Strong understanding of data streaming concepts
  • Knowledgeable about data modeling, data access, and data storage techniques, like Data Lake and Data Warehousing concepts
  • Experience with building production-grade data processing tools such as BigQuery, Kafka, Pub/Sub, Dataflow, Flink and Spark
  • Experience in writing code in Java, Python, Go, and definitely, SQL
  • A love of reading and writing documentation - you Google first and ask later

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