Requirements

Expected technologies

Python

R

SQL

Our requirements

• Minimum 5 years of experience in data analytics, business intelligence, or related areas.
• Strong grasp and understanding of fundamental data modelling concepts such as entity-relationship modelling, data flow diagrams, and the ability to create conceptual data models from business requirements.
• Strong SQL skills for data querying and transformation.
• Ability to interpret complex datasets and generate business insights.
• Familiarity with Python or R for data analysis.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to present findings effectively.

Optional

• Knowledge of financial services or risk analytics (preferred).

Your responsibilities

• Define and obtain source data required to successfully deliver insights and use cases.
• Determine the data mapping required to join multiple data sets together across multiple sources.
• Analyse structured and unstructured data to identify key business trends.
• Design and develop data models to support analytics initiatives.
• Create interactive dashboards and reports for stakeholders.
• Collaborate with data engineers and business teams to define requirements.
• Ensure data quality, integrity, and governance standards are met.
• Identify opportunities for process optimisation through data analysis.
• Support machine learning and predictive analytics projects.
• Document the data design and solutions to the high end for future reference. Support data-related tasks such as data mapping, data lineage, data governance, data quality, and metadata management