Vereeniging: Senior Data Technologist

Key Responsibilities: Data Engagement and Requirements Analysis Guide and conduct the engagement with business teams to understand project requirements, ensuring alignment with forensic investigation needs and the goals of supporting law enforcement agencies. Guide and conduct the identification and development of new information sources by establishing relationships with potential data providers, enhancing the depth and breadth of data available for forensic analysis. Supervise custom management tools to facilitate the information gathering process, ensuring efficiency and comprehensiveness. Database Programming and Development Guide and conduct the execution of database programming for new and existing projects, writing scripts, stored procedures, and functions to support complex analytical procedures related to financial data use to solve financial crimes. Plan and implement data integration and data migration activities to support forensic investigations, ensuring seamless and secure data handling. Provide valid input in database architectural discussions, contributing to the design and optimisation of robust and scalable database systems. Data Quality Assurance and Problem Resolution Guide and conduct quality assurance tests to ensure data integrity and quality, maintaining the reliability of forensic evidence used in investigations. Resolve database problems, queries, and error reports promptly and accurately, minimising downtime and ensuring data availability for ongoing investigations. Identify process improvements for database performance, reliability, and stability, enhancing the overall effectiveness of data management within the FIC. Data Analysis and Reporting Supervise the designing of models to detect anomalies in data based on project specifications, contributing to the identification of suspicious financial activities and potential financial crimes. Apply diagnostic skills to identify multiple relationships and causal links, formulating hypotheses to support forensic investigations. Prepare complex reports containing inferences and conclusions for medium-term planning purposes, providing actionable insights to law enforcement agencies. Data Management and Documentation Maintain accurate and complete database programming documentation, ensuring transparency and reproducibility in forensic data processes. Prepare development document templates that reflect data checks, providing guidance on data inclusion and exclusion during analyses, and supporting auditability and compliance. Conduct data audits by scrutinising and monitoring the quality of raw data, driving data integrity and ensuring the accuracy of forensic evidence. Big Data Evaluation and Analytical Support Conduct big data evaluations within the unit by searching and analysing large datasets to extract critical information related to specific queries and investigations. Conduct analytical support by retrieving raw data and conducting preliminary statistical analyses, assisting in the data analysis process and supporting forensic investigations. Compile user-friendly reports by translating technical results into understandable information, enabling informed decision-making by end-users and law enforcement agencies. Stakeholder Engagement and Communication Conduct briefings and presentations with internal and external FIC stakeholders and clients, effectively communicating data findings, methodologies, and implications for ongoing investigations. Ensure disseminations of approved information as per agreed timelines and specifications, ensuring that data is shared responsibly and in a timely manner to support law enforcement activities. Planning and Execution Plan teams work execution to achieve milestones of agreed deliverables, ensuring timely and accurate completion of tasks related to forensic data management and analysis. Ensure any other data analysis as required by management, demonstrating flexibility and responsiveness to evolving investigative needs. Allocate and review the work/output of the team EDUCATION, SKILLS AND EXPERIENCE A university degree in economics, statistics, mathematics, computer science, business information systems Quantitative skills, as evidenced by formal training in statistics, data mining, coding to develop models and relevant experience in utilising those skills in research and or an operational environment. SAS, or SQL Server certifications are compulsory Proficiency in Power BI including skills, from basic data visualization to advanced data modelling and analysis will be preferrable 8 years of experience in scoping, sourcing, integrating, and analysing complex financial, statistical, and visual/spatial data, including data mining, modelling, and coding. Expertise in economic/transactional analysis and developing mathematical/or statistical models through coding and data mining. Knowledge of financial flows and particularly illicit financial flows and an understanding of illicit economy and criminal activities which generate illicit finances – an advantage. Communication skills, both written and verbal. Confidence and credibility to persuasively interact at all levels within the organization and clients. Presentation skills PowerBI and other business intelligence software skills. Please Apply!