As a Reference Data Analyst within Digital Document Services team, you will be responsible for the implementation of maintenance, storage, retention, retrieval and destruction of records and documents. In addition, you will drive the implementation and execution of Global Digital Document Services mandates and objectives.
Job responsibilities:
- Consolidate all Line of Business (LOB) files by Client Level
- Organize, read, label, index, inventories and file each document by file level in the respective filing room
- Understand documentation processes in details and actively challenge status quo
- Possess general understanding of and execute internal Digital Document Services guidelines, Records Management Policies (as well as related internal procedures and standards) in accordance with local and global principles.
- Review the records submitted by Clients, Business or Operations partners for accuracy / completeness / compliance with internal procedures and local regulations
- Provide operational support to supply audit / compliance / regulator with query handling, documentation, analysis as required
- Design, monitor, review and develop efficient record filing schemes, systems and workflow by working closely with multiple functions and teams for thorough identification of documentation related responsibilities
- Ensure Standard Operating Procedures are updated reflecting the latest process.
- Prepare Management Information System as required by senior management
- Identify and communicate business partner requirements and escalate outstanding issues in a timely manner
Required qualifications, capabilities, and skills:
- At least a Bachelor’s Degree in Business, Finance, Technology, Information Systems or related disciplines
- At least 2 years of experience in data analytics and/or risk management
- Excellent communication skills – verbal, written and technical (e.g. PowerPoint)
- Ability to present concise, direct and timely communications to management and key partners.
- Fluency in English and Bahasa Indonesia, both written and verbal
- Strong computer skills and proficiency in Microsoft Office notably Excel (Pivot table and vlookup) and SharePoint
- Detail-orientated and being able to act in accurate, meticulous and time-conscious manner
- Ability to multi-task, identify priorities, work independently as well as part of a team and excellent execution mentality
- Must be a self-starter with the motivation, demonstration of initiative, and ownership mentality to think outside of the box as necessary
Preferred qualifications, capabilities, and skills:
- Data Management skills will be an advantage
- Knowledge/skills of machine learning/data science theory, techniques and tools will be preferred
- Possess sense of urgency, ownership, excellent analytical and problem-solving skills, ability to synthesize large amounts of information and propose recommendations
- Previous experiences related to or a deep understanding of local regulations on records management requirement would be an advantage, but not mandatory