- Continuously monitor and ensure data quality and integrity. Ensure new systems and data integrations comply with existing data management policies.
- Efficiently identify and resolve data quality issues. Stay updated on data management products and trends to support business needs.
- Lead initiatives to effectively remove corrupt or redundant data from databases.
- Identify and address root causes of poor data quality, and clearly communicate findings.
- Collaborate with system architects to synchronize data across multiple entry points.
- Conduct thorough research and recommend tools and standards for data management.
- Build strong client relationships and thoroughly understand their business needs.
- Collaborate with tech teams to rigorously test applications during migrations.
- Work effectively in large teams and actively contribute to an innovative culture.
- Understand and deliver products that meet business objectives. Recognize issues and recommend effective solutions.
- Accurately prioritize requirements based on business benefits. Gather and document detailed requirements meticulously
Required Qualifications, Skills and Capabilities
- Must be a graduate in any discipline.
- Demonstrate the ability to effectively gather, analyze, and synthesize information.
- Skilled in organizing, analyzing, and presenting data using Excel and PowerPoint.
- Possess strong skills in data analysis and organization.
- Understand data and infrastructure architecture disciplines and design principles.
- Efficiently manage and execute multiple tasks without compromising quality.
- Stay informed about technology trends and best practices.
- Exhibit strong communication skills, including active listening and clear idea sharing.
- Be an effective team player, supporting colleagues and contributing to shared goals.
Preferred Qualifications, Skills and Capabilities
- Experience in VBA, Tableau, Alteryx, and Python solutions would be added advantage
- Prompt engineering for interacting effectively with AI systems.
- Demonstrated ability to solve complex data-related problems and implement effective solutions.
- Prior experience working in banking, financial services, or a related industry, particularly in data management roles.
Employment Type: Full Time, Permanent
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