
Data Modeler
2 days ago
**GENERAL DESCRIPTION**
This is an essential role that supports the Bank’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.
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**
- 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
**REQUIREMENTS**
- Minimum 5 years of working experience with AI, ML, Data Science or a related field.
- Experience with data modeling tools such as ER/Studio, ERwin, or PowerDesigner.
- Strong knowledge of SQL and database management systems like Oracle, SQL Server, or MySQL.
- Understanding of data warehousing concepts.
- Experience with big data technologies like Hadoop or Spark is a plus.
- Working experience with analytical tools and languages such as Python scikit-learn, R, SAS
- Knowledge of ETL processes and data integration
- Experience with operating in a corporate environment and stakeholder management.
- Strong results driven personality with an innovative spirit.
- Graduate or Postgraduate degree in Engineering, Statistics, Mathematics, Artificial Intelligence
- (AI), Machine Learning (ML), Data Science (DS) or a related field.
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