senior data analyst - global private bank (contract) in Singapore

lynda tan, randstad
job type
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job details

banking & financial services
job type
working hours
5 years
reference number
lynda tan, randstad
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job description

Map the lifecycle of client on-boarding data and business process that is associated with it, as well as assist in overseeing the project team

about the company

Established for over 80 years, the Client is a global leader in Investment and Wealth management and provides financial solutions to ultra high net-worth and high net-worth customers in 45 countries around the world. They believe in grooming their employees to become the best at what they do, and offer internal mobility opportunities.

about the job

  • Understand data models and identify relationships between data objects for Client On-boarding
  • Acquire data from primary or secondary data sources
  • Perform data cleansing by reviewing reports and performance indicators to locate and correct code problems
  • Interpret data and analyse results using statistical techniques and provide reports on a daily, weekly and monthly basis
  • Identify data quality issues and translate findings into documentation with recommendation or follow up action required
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Implement validation at various levels of data structure to maintain data integrity
  • Static data maintenance
  • Ability to analyse via reverse engineering the systems for data entry and data maintenance
  • Ability to map the lifecycle of data and business process that is associated with it
  • ​Interpret and analyse trends or patterns in complex data sets
  • Assist in overseeing the project team

skills and experience required

  • At least 5 years of Data related experience within the Financial Services sector
  • Knowledge of Private Banking industry is an added advantage
  • Proven experience working with databases, knowledge of end-user tool like MSAccess or MySQL is a plus.
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (ETL frameworks)
  • Visual Basic and python scripting ability is a plus
  • Advanced proficiency in Excel
  • Relevant experience in Reference Data, Static Data and/or Client On-boarding is a plus
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills
  • Prior supervisory experience is a plus

If you would like to find out more about this role, please click apply below. Alternatively please contact Lynda Tan at 6510 7413.

EA: 94C3609 / R1223887


no additional skills required


no additional qualifications required

educational requirements

Bachelor Degree