Data Analyst

1 day ago

Raffles Place, Singapore Maltem Asia Pte. Ltd. Full time

Maltem Asia is seeking a Data Analyst for a Wealth Management Client based in Singapore.

Responsibilities:

  • Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology
  • Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas
  • Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
  • Perform data quality, onboarding, registration, discoverability, access controls, and cataloging. Execute, maintain and manage the whole data lifecycle.
  • Conduct requirement workshops with stakeholders, analyse and translate business and other requirements holistically into data strategies, plans, actions.
  • Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
  • Analyze and resolve day-to-day operational incidents and advisory to business users.
  • Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.

Skillset Requirements:

  • Degree in a data-related discipline such as Computer Science, Information Technology, Data Science, Finance, or a related field.
  • Strong understanding of financial markets data.
  • Strong understanding of how data is stored in a relational database.
  • Knowledge of leading data management trends and practices within the financial industry, approaches to data quality and business-technology issues related to data.
  • Excellent analytical, communication, and problem-solving skills.
  • Ability to work independently and as part of a team.
  • Strong documentation skills.
  • Keen understanding of Python and SQL is a must.
  • Experience in providing support for Enterprise data products is a plus.

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