1. Data Collection and Analysis:
- Gather, clean, and organize data from various sources to ensure accuracy and reliability.
- Analyse large datasets to identify trends, patterns, and anomalies relevant to risk assessment.
- Interpret complex data to provide actionable insights to support decision-making processes.
2. Reporting and Visualization:
- Create visually appealing and easy-to-understand reports, charts, and graphs using data visualization tools (e.g., Tableau, Power BI).
- Automate reporting processes to deliver timely and accurate insights to the organization.
- Maintain risk reports.
- Generate regular reports and ad-hoc analyses to support business decision-making.
3. Data Cleansing and Validation:
- Ensure data integrity by performing data validation and quality checks.
- Support governance and amendment of scripts, procedures and jobs across departments who are utilizing Data Warehouse.
- Work with data engineering teams to resolve data quality issues and improve data collection processes.
4. Others:
- Collaborate with cross-functional teams & related parties to gather relevant data and insights.
- Stay abreast of emerging technologies and methodologies in risk management and data analysis.