Summary:
- The successful candidate will be involved in the data management tasks
- Expected to possess knowledge of the financialindustry
- Should be good with data visualization
- Experience with programming languages such as Python, Java, SQL etc.
Responsibilities:
- Work closely with business stakeholders, data engineers to implement and support data distribution solution.
- Design an optimal onboarding process with clear visibility of the various life cycle of a product.
- Contribute, influence, and validate the design of data distribution solutions to ensure they meet both business and operational needs.
- Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
- Lead the dataset registration conversation with business and metadata team to ensure that the dataset are properly registered.
- Document the business requirements clearly.
- Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.
- Identify opportunities for continuous improvement in assigned area of work
Skillset
- 2 to 3 years of working experience, with relevant experience in data management and the financial services industry.
- Good understanding of the principles, key controls and processesrelating to data management, as well as data integration and data distribution.
- Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.
- Strong analytical skill with passion in complex problem solving.
- Basic coding skill will be advantageous.
- Excellent written and verbal communication skills.
- Strong interpersonal skill to interact with diverse stakeholders.
- Agile, fast learner and able to adapt to changes.
- Experience with the System Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
