Lead Business Data Analyst

Location Singapore
Discipline Information & Communications Technology
Job Reference BBBH142699_1723797916
Salary S$8000 - S$11000 per month
Consultant Name Claudia Kueh Kee Jinq
Consultant Email [email protected]
Consultant Contact No. 65515579
EA License No. 02C3423
Consultant Registration No. R1880247


Job description:

  • Define, measure and track performance, ensuring end-to-end visibility of metrics, and driving consistency across regions.
  • Perform quantitative analysis that translates data into actionable insights .
  • Track and analyze key performance metrics while establishing and implementing new operational frameworks.
  • Drive positive engagement with functional teams and your peers to support both strategic and tactical initiatives.
  • Business Reviews - participate, initiate and facilitate business reviews as required.
  • Support the development of specific performance dashboards to deliver insights the business expects.
  • Reduce over complication of data and assist in streamlining reporting to ensure accuracy and integrity of data.
  • Engage with the business to identify metrics used to measure the success of new programs/ projects.
  • Identify opportunities to automate and streamline existing processes.
  • Partner with BI team to automate and streamline processes related to data management.


Key Qualifications:

  • Bachelor's degree in mathematics, finance, statistics, economics or other quantitative area, Master Degree is a plus.
  • 7+ years of experience in operations, analytics, management consulting, corporate strategy, or equivalent experience in a technology company.
  • Advanced Excel, SQL and Tableau knowledge is required.
  • Experience in performing statistical modeling and analysis, knowledge in Python, R is a plus.
  • Experience in and knowledge of Contact Center metrics, processes and reporting tools is a plus.
  • Excellent communication, presentation skills and ability to explain complex data and charts in a concise manner.
  • Ability to answer complex questions through data, analysis, and clearly communicate findings to cross-functional teams.
  • Attention to detail and the ability to handle complex processes iin an extremely dynamic and cross functional environment.
  • Distinctive problem-solving skills and project management skills.
  • An affinity to "talking with numbers"; inherent aptitude to quantify and support conclusions with data.