utilize software for the purposes of data analysis as the next Data Analytics Trainer sought by a forward-thinking in training delivery, preferably in the field of Data Analysis, Audit, Risk, or Compliance. You must be Display expert knowledge in Audit Command Language and data analysis techniques. Conduct Training Sessions: Command Language software, including both basic and advanced commands and functionalities, for individuals exercises and case studies to address their unique requirements. Practical Exercises: Provide practical exercises
RESOURCES (SADiLaR) POSITION NUMBER: P002872 VACANCY: DATA SCIENTIST PEROMNES: A7 EMPLOYMENT TYPE: PERMANENT PERMANENT APPOINTMENT PURPOSE OF THE POSITION As a Data Scientist at the South African Centre for Digital Language Human Language Technology, Digital Humanities, Data Science, Computer Science, Information Technology Technical Competencies (Knowledge and Skills) Advanced computer literacy. Ability to lead research projects environments of SADiLaR. Strong interest in the advancement of under-resourced South African languages. REMUNERATION
for a highly analytical person with a knack for data analysis. Involving manipulation, modelling and inter-dependencies between various data sources and business processes involving data flow. The Data Engineer will also and building data management solutions. There will also be elements of integrating with data science tools visualise their data. Key Responsibilities & Accountabilities Construct end to end data service solutions Understand and manage the client's data requirements, the data being specific to the financial markets
Reference: NWA003395-BOM-1 Are you a Data Analyst looking for an opportunity in the fintech space? This equivalent courses. Job Experience & Skills Required: Experience in Financial Services Power BI SQL visualizations, SSIS packages, and dashboards Proficient in data analysis and implementing marketing techniques and
stakeholders to shape data architecture and requirements collaboratively. Craft data models and schemas appropriate data storage solutions, including relational databases, data warehouses, data lakes, and NoSQL Lead the implementation of data governance policies and standards. Uphold data quality and integrity across organisation. Ensure adherence to data security and privacy regulations. Share data architecture strategies with strategic planning and technology selection for data and analytics initiatives. What you need: Bachelor's
services, reports and applications as per business requirements, and agreed deadlines. Support: Responsible Responsible for projects in line with business requirements. Ensure the correct and efficient planning,
RESOURCES (SADiLaR) POSITION NUMBER: P002872 VACANCY: DATA SCIENTIST PEROMNES: A7 EMPLOYMENT TYPE: PERMANENT PERMANENT APPOINTMENT PURPOSE OF THE POSITION As a Data Scientist at the South African Centre for Digital Language Human Language Technology, Digital Humanities, Data Science, Computer Science, Information Technology Technical Competencies (Knowledge and Skills) Advanced computer literacy. Ability to lead research projects environments of SADiLaR. Strong interest in the advancement of under-resourced South African languages. REMUNERATION
a visionary Data Scientist to spearhead their data-driven initiatives as the Head of Data Science. Join future of data-driven decision-making. APPLY NOW Key Responsibilities: Shape and execute the data strategy objectives and drive innovation. Lead a team of data scientists and analysts, providing guidance, mentorship Oversee the collection, storage, and analysis of data to derive actionable insights. Collaborate with leveraging data to solve business challenges. Develop and implement best practices for data governance
reliable, on-time, efficient & high-quality data analytics solutions and professional services that processes, procedures and statuary, legal and other requirements Relevant BSc, BCom, BEng (Essential/Minimum) Experience: • 3 – 7 years in Business Intelligence/Data Analytics/Data • Science/Modelling/Statistics • Programming skills • Knowledge of statistical modelling and data mining techniques i.e. Regression, • Random Forest
This role is for a Senior Data Engineer to help build and maintain scalable data pipelines and related systems developing, testing, and deploying data solutions that meet the business requirements Collaborate with all stakeholders stakeholders to ensure data quality, reliability, accessibility, security and governance Design, develop technical aspects of all data pipelines Support ETL processes including, data ingestion, transformation Optimize data performance, scalability, and security. Provide technical guidance and support to data analysts