Job Responsibilities
- Study, analyse and understand business requirements in context to business intelligence.
- Design and map data models to shift raw data into meaningful insights.
- Utilize Power BI to build interactive and visually appealing dashboards and reports.
- Ensure data is cleansed, mapped, transformed and otherwise optimised for storage and use according to business and technical requirements.
- Automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
- Build data pipelines to collectively bring together data.
- Design and implement written code.
- Test data from source to the presentation layer.
- Support and troubleshoot data pipelines.
- Other responsibilities include extracting data, troubleshooting and maintaining the reporting platform.
Job Requirements
- Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
- Min. 5 years of experience in Data Analytics, Realtime data integration and Business Intelligence
- Experience in building and optimising ‘big data’ data pipelines, architectures, and datasets.
- Strong analytic skills related to working with unstructured datasets.
- Experience in Azure data integration tools e.g., Azure Synapse, Azure Data factory,
- Experience in Power BI report delivery.
- Knowledge in traditional ETL.
- Knowledge in financial sector technologies, products and services will be an advantage.
- Able to multi-task in a challenging technical environment to deliver high quality solutions.
- A meticulous team player who has proactive and positive attitude
- Excellent communication, interpersonal and presentation skills
To apply, please visit www.gmprecruit.com and search for Job Reference: 24076
To learn more about this opportunity, please contact Gia Grace at [email protected]
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973
