teams to understand business problems, develop models that drives automation, predictive analytics, advanced external data providers. Design and implement data modelling, data mining, and machine learning algorithms maintain predictive and prescriptive analytical models to support decision-making and drive business value and data transformation to prepare data for modelling and analysis. Utilize data visualization techniques audiences. Continuously evaluate and optimize existing models, algorithms, and data sources to improve accuracy
Degree in Finance/Actuarial Science/Accounting/Mathematics or similar field with 2 years' work experience Degree in Finance, Actuarial Science, Accounting, Mathematics, Statistics, Information Systems or Computer
to assess support needs and craft innovative mathematical solutions for games. Delve into theoretical onboarding experiences. What you need: BSc Degree in Mathematics or Statistics coupled with Computer Science background
Analyst and Data Architect/Modeller. Responsibilities: Prepares, transforms, models data and resolves conflicting transformation for predictive or prescriptive modeling. Responsible for technical testing services across Backend). Experience of relational and NoSQL data modelling approaches. Experience of at least one packaged packaged ETL tool. Technical expertise with data models, data mining, and segmentation techniques. Extensive Extensive hands-on experience with BW Data modelling and SQL database design. Data engineering certification
Degree or Advanced Diploma in Computer Science, Mathematics, or Engineering - 3 to 5 years' experience for
EXPERIENCE University degree in computer science, mathematics, or related field At least 6 years of experience
degree in Computer Science, Information Systems, Mathematics, Statistics, or related fields. At least 5 years
structures and develops long term sustainable data models. Collaborate with business stakeholders to understand effective BI solutions. Design and develop data models to support reporting and analytics. Create and and maintain logical and physical data models for BI applications. Develop Extract, Transform, Load (ETL) confidentiality. Document BI solutions, including data models, ETL processes, and report specifications. Create Analysis Services), Power Pivot. Strong Dimension Modeling experience. Experience in handling heterogeneous
performance full stack applications; integrating AI models and solutions into existing and new platforms and Github Actions / Jenkins Any experience in data modelling / manipulation R100k to R120k pm
Planning, Budgeting and Forecasting o Tax o Financial models and cost allocations Minimum of 1 year experience Planning and Financial Close and Consolidation models and calculations to meet business process and functional confirmation rules - Certification questions - Data model - Data sources and connectors, and transformation