Manager, Data Management Specialist
6 months ago
**About UOB**:
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.
**About the Department**:
**Responsibilities**:
- Assist on user access request, removal and review process.
- Review user data requests, ensuring accuracy, completeness, and adherence to data governance policies.
- Collaborate with cross-functional teams to understand data requirements and deliver relevant data required within agreed timeline.
- Develop and maintain data provisioning processes for efficient data retrieval and analysis.
- Data quality checks to ensure data deliver comply to SOP and according to SLA.
- Production support including job monitoring and user queries.
- Analyse and interpret complex datasets to provide actionable insights.
- Respond to all requests from stakeholders in a timely professional manner.
- Effective analytical skills of the system.
- Design, develop and maintain business intelligence solutions such as interactive dashboards to help the business leverage their internal data assets for strategic decision making. Hands-on development of data models and visualisations will be required.
- Support business users through use of data analytics and deployment of data analytics capabilities.
- Evaluate and improve existing analytics tools and platforms.
**Job Requirements**:
- Minimum 1 or 2 years working experience in basic SQL skill, specifically in HiveQL and Impala.
- Degree in Actuarial Science, Actuarial Mathematics, Statistic or Computer Science.
- Experience in data modelling and visualising with QlikSense, Power BI or similar.
- Exposure to Python, R and other new Big Data technologies is preferred.
- Possess good written and verbal communication skills with demonstrated ability to present in a clear and compelling manner.
- Analytical ability would be a plus.
- Able to work independently and thrive in a dynamic and team environment
**Be a part of UOB Family**:
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