About the position
JOB PURPOSE
Support the SFC team by assisting in the collection, preparation, integration, and basic analysis of financial and statistical data. Contribute to forensic evidence development under supervision, helping to deliver high-quality data outputs that support law enforcement investigations and the FIC's mandate.
KEY PERFORMANCE AREAS
Data Engagement and Requirements Support
- Assist in gathering and documenting business and data requirements from project teams.
- Help identify new data sources and maintain relationships with data providers under guidance.
Database Programming and Development Support
- Assist in writing and maintaining basic scripts and queries for data extraction and integration.
- Support data migration and integration activities as directed by senior staff.
Data Quality Assurance and Problem Resolution
- Conduct routine data quality checks and flag inconsistencies or errors for review.
- Assist in resolving basic data queries and reporting issues to the Data Technologist.
Data Analysis and Reporting
- Prepare simple data summaries and visualisations as instructed.
- Support the preparation of reports and documentation for investigations.
Data Management and Documentation
- Maintain accurate records of data processes and document steps taken in analyses.
- Assist in developing and updating templates for data checks and reporting.
Big Data Evaluation and Analytical Support
- Support the team in searching for and extracting information from large datasets.
- Conduct preliminary analyses and prepare user-friendly outputs for review.
Stakeholder Engagement and Communication
- Participate in team meetings and assist in preparing materials for presentations.
- Communicate progress and findings clearly to team members and stakeholders as required.
Planning and Execution
- Plan and prioritize own work to meet deadlines and deliverables as set by supervisors.
- Perform other data-related tasks as assigned by management.
EDUCATION, SKILLS AND EXPERIENCE
- Bachelor's degree in economics, statistics, mathematics, computer science, business information systems/analysis, finance, actuarial Science, quantitative risk management, business & mathematics and informatics or a related field (a higher degree like a master degree will be advantageous).
- 1-2 years of experience in data analysis, data management, or a related field (internship or project experience acceptable).
- Basic knowledge of SAS, SQL, Python, or other data analysis tools.
- Familiarity with financial or banking data is advantageous.
- Good communication skills, both written and verbal.
- Proficiency in MS Excel and basic data visualization tools (PowerBI or similar) preferred.
- Willingness to learn and develop technical and analytical skills.
