Data Analyst

Posted 04 March 2024
Salary 20 days AL, Medical Insurance
Job type Contract
Discipline Data Analytics/Data Engineering
Contact NameNicholas Ng

Job description


  • Develop and maintain systems in accordance with department standards and conduct system analysis tasks
  • Provide support for Risk Data reporting and analysis.
  • Create and update documentation for systems.
  • Build analytical and scientific solutions to address business issues
  • Support data democratization within the company by developing dashboards and transferring skills.
  • Support the implementation of various metadata applications in a Cloud platform.
  • Collaborate with software developers and machine learning engineers to implement analytical models into production.
  • Utilize EWM for version control and project management, collaborating with data scientists and engineers.
  • Create Confluence pages, data dictionaries, and metadata for technical documentation.
  • Utilize data visualizations to present findings and insights relevant to risk control.
  • Collaborate with Operations staff to ensure the quality and availability of production application systems.


  • Degree holder in Computer Science, Data Analytics/ Science, Information Management or a related field.
  • At least 5 years of experience in data analytics and/or related industries, with at least 2-3 years in data science/cloud platform.
  • Familiarity with common data science languages/toolkits, such as Python, SQL, R, Scala, Apache Spark, Keras, etc., for data manipulation and deriving insights from large datasets is desirable.
  • Possess solid experience in Unix scripting and SQL/PLSQL programming in Oracle DB.
  • Possess solid experience in key machine learning and big data cloud platforms, such as Microsoft Azure ML Services & Data Warehouse, AWS SageMaker & Redshift, Google ML and BigQuery, etc.
  • Experience with data architectures and data visualization BI tools (e.g., Tableau, PowerBI, Cognos, etc.).
  • Experience working with large-scale datasets and complex data models.
  • Good to have exposure to Bank Risk Management and Data Warehouse
  • Strong communication and presentation skills to effectively convey findings to both technical and non-technical stakeholders.
  • Ability to work independently with minimal supervision and collaboratively in a team.
  • Self-motivated, proactive, and capable of multitasking.