Data Modeler (12 Months Contract)

Roles & Responsibilities

This is an essential role that supports Bank of Singapore’s ambition to be a data-driven company, leveraging high quality and timely client data and analytics to further advance our competitive advantage.If you have a strong interest and the knowledge in using analytical tools to drive quality assurance, are passionate about driving data quality and process improvements, and have a knack for problem-solving, this is the opportunity for you. As data is deemed as a strategic asset for Bank of Singapore, this candidate should be a thought leader who will understand and solve identified business problems from curated datasets.

You will work with data and design architects to design and implement our data infrastructure for our new and existing platforms. You will be responsible for creating and maintaining data models for our databases, developing scripts for data cleansing, and developing tools to automate data entry.

Main Duties :

• Part of a new central team within the bank, the candidate will support the Head of Client Data in the data governance and formulation of information strategy. Expected outcomes are data-driven business innovation and transformation.
• Work with the business intelligence team to gather requirements for database design and model
• Collaborate with the development team to design and build the database model
• Engage the development team to implement the database
• Determine the business needs for data reporting requirements
• Understand the Bank’s data migration needs
• Work with the development team to implement the migration
• Work with data scientists to determine metadata querying requirements

With technology changing at a rapid pace, the candidate is also expected to keep up with the latest innovation in data architecture and tools and lead the analysis and governance of the bank’s data assets.

Other duties include :

Stay current with industry trends and emerging technologies to keep data models updated.

Qualifications

Graduate or Postgraduate degree in Engineering, Statistics, Mathematics, Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS) or a related field.

Tell employers what skills you have

Business Intelligence

Big Data

Data Modeling

Erwin

Hadoop

ETL

Data Integration

Data Quality

SQL

Python

Data Architecture

Statistics

Data Science

Metadata

Data Warehousing

Databases