Gauteng: Data Technologist posted by Gijima Holdings

About the Role

Gijima Holdings is seeking a skilled Data Technologist to join our team. The successful candidate will be responsible for sourcing, gathering, scoping, mapping, and analyzing statistical and visual/spatial data to respond effectively to our operational and analytical data requirements.

Key Responsibilities

• Engage with business teams to understand project requirements and operational data needs.
• Identify and develop new information sources by establishing relationships with potential data providers.
• Design and maintain custom management tools to support efficient and accurate information gathering.
• Perform database programming for new and existing projects, including writing scripts, stored procedures, and functions.
• Assist with planning and implementing data integration and data migration activities.
• Conduct quality assurance testing to ensure data integrity, accuracy, and reliability.
• Resolve database issues, queries, and error reports in a timely and accurate manner.
• Design analytical models to detect anomalies and trends in data.
• Apply diagnostic and analytical skills to identify relationships and causal links within datasets.
• Prepare analytical reports containing findings, insights, and conclusions to support planning and decision-making.
• Maintain accurate and complete database and analytical documentation.
• Contribute to the development of document templates that support data validation, auditability, and compliance.
• Search, mine, and analyse large datasets to extract relevant information for operational and investigative purposes.
• Prepare and deliver briefings and presentations to internal and external stakeholders.

Requirements

• A degree in Economics, Statistics, Mathematics, Computer Science, Business Information Systems/Analysis, Finance, or a related field.
• SAS and/or SQL Server certification.
• A minimum of 3 years’ experience in data analysis, data mining, modelling, or coding.
• Strong quantitative skills with formal training in statistics, data mining, and model development.
• Experience in financial and transactional data analysis.
• Knowledge of financial flows and illicit financial activity is an advantage.

Qualifications

• Formal education/certifications (Bachelor’s, LLB, Matric, etc.) are not required for this role.