Job Responsibilities
The chosen candidate will be a key point of contact for all business queries on data usage of the application as well as ensure that the business design of the application conforms to the overall strategy of the organization – i.e. end to end automation & standardization.
The broad job accountabilities of the chosen candidate would be as follows:
1. Leverage on data analytics knowledge & experience to facilitate to uncover the data breaks.
2. Go through daily reconciliation report or schedule query via database to identify anomalies and discrepancies, find out root cause and implement corrective measures.
3. Oversee and responsible for ensuring data quality and fitness for purpose of data assets.
4. Able to articulate clearly the problem statement observed after investigation of the data breaks.
5. Monitor & engage in the ongoing and detailed evaluation & trending of data quality.
6. Ensuring data integrity, assess and improve data quality, oversee data from cradle to grave and remediate data quality issue.
7. Collate, manage, rationalise, associated with technology team to support in impact assessment, fix data quality issue, UAT and support implementation and live verification.
8. Actively partnering with the technology team in the solutioning process to ensure that the business solutions being implemented are thought through from a long term, standardization, design for no operations, front-end configuration perspective.
Requirements
1. Degree in Banking/Finance, Accounting, Business, Engineering, Information Technology or related disciplines.
2. Self-driven with strong analytical, highly numerate, proactive, problem solving, communication (verbal and written), good interpersonal and organizational skills
3. Driven/passionate, self-starter, highly competent and able to work independently
4. Ability to work in a team consisting of stakeholders from different areas including user community from requirements gathering and testing perspective, technology teams from a development, rollout perspective.
5. Eye for detail and diligence in documentation. Well versed in Microsoft Excel, PowerPoint, Word/ Office 365 applications
6. Prior experience of working in a banking industry would be preferred
7. With at least 3 years of relevant working experience, preferably with data management and analytics in the banking industry
8. MUST have basic SQL knowledge, and keen and good in data investigation, communication skill with stakeholder, and manage mini project.
