- Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
- Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
- Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
- Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
- Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
- Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
- Identify opportunities for continuous improvement in assigned area of work.
Skillset Requirements
- Degree in IT or related.
- At least 3 years of relevant experience in data management, data analytics, and data engineering user.
- Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
- Good knowledge and experience in Python, SQL ,Data modelling, ETL,PowerBI etc.
- AI & ML will be good to have.
- Excellent written and verbal communication skills.
- Strong interpersonal skills and able to interact with diverse stakeholders.
- Agile, fast learner and able to adapt to changes.
