Excellent regocnition (Monetary, kruger rands, weekends away etc) Flexibility Great company culture
Excellent regocnition (Monetary, kruger rands, weekends away etc) Flexibility Great company culture
responsibilities:
Data Analysis and Interpretation:
- Analysis of complex data sets to derive actionable
enhance actuarial processes.
- Collaborate with data scientists and engineers to develop AI-driven solutions
/>- Assessment and analysis healthcare provider data.
- Evaluate pricing strategies, reserve requirements
- Client engagement.
- Verification of data sources.
Required qualifications and skills:
Degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer
Science or any related field
best practices • Collaborate with IT to leverage data for model accuracy and automation • Uphold strict pricing analysis and data analysis • Advanced Excel skills and proficiency in data analysis software •
Analytics: Responsible for developing and managing a data warehouse for the business, including all ETL processes supporting the businesses master data process, to ensure suitable levels of data accuracy and quality. Business Computer Science, Data Science or Information Technology Minimum of 2 years of experience in data analysis, business process mapping. Firm understanding of data warehousing, data modelling and ETL processes. Sound understanding
Analytics: Responsible for developing and managing a data warehouse for the business, including all ETL processes supporting the businesses master data process, to ensure suitable levels of data accuracy and quality. Business Computer Science, Data Science or Information Technology Minimum of 2 years of experience in data analysis, business process mapping. Firm understanding of data warehousing, data modelling and ETL processes. Sound understanding
this role, you will be responsible for conducting data analysis and implementing optimization strategies Responsibilities: Gather and analyze supply chain data to identify areas for improvement Develop and implement the mining industry Experience analyzing complex data sets to identify trends and implement improvements management principles and best practices Proficiency in data analysis and visualization tools (e.g. Excel, Tableau)
SED and ED projects Ensure that each project is captured on the M&E tool with appropriate KPIs and
field investigations, analysing hydrogeological data, and providing technical support for various projects combination of field work and office work, including data analysis and reporting. Project management skills feasibility studies etc. Evaluate and interpret data including geology, hydrogeology, geophysics and hydrogeological data) Experience in collaborating with and managing small teams. Experience in data analysis
field investigations, analysing hydrogeological data, and providing technical support for various projects combination of field work and office work, including data analysis and reporting. Project management skills feasibility studies etc. Evaluate and interpret data including geology, hydrogeology, geophysics and hydrogeological data) Experience in collaborating with and managing small teams. Experience in data analysis