About the job Junior Data Analyst Job purpose: The Junior Data Analyst will be responsible for the management..., collection, statistical analysis, visualization and interpretation of data from multiple data sources. Duties...
Retail Data Analyst (1-Year Contract) IT - Analyst, Data Management Cape Town - Western Cape ENVIRONMENT...: A growing Retail Group seeks a solutions-driven Retail Data Analyst who will use mathematical models and predictive economic...
) Job Summary: We are seeking a skilled Demand Forecast and Supply Planning Business Analyst to predict future product demand... and develop supply plans to optimise inventory and supply chain decisions. This role involves using statistical models, historical...
) Job Summary: We are seeking a skilled Demand Forecast and Supply Planning Business Analyst to predict future product demand... and develop supply plans to optimise inventory and supply chain decisions. This role involves using statistical models, historical...
Position: Junior Research Analyst (Remote) BACKGROUND TO COMPANY: Our client is an independent investment research..., they are building out their analyst team (initially in the semiconductor tech sector) to support covering analysts. Established 24 years...
Job Summary Position: Junior Research Analyst (Remote) BACKGROUND TO COMPANY: Our client is an independent... Cape Town, they are building out their analyst team (initially in the semiconductor tech sector) to support covering...
Position: Junior Research Analyst (Remote) BACKGROUND TO COMPANY: Our client is an independent investment research..., they are building out their analyst team (initially in the semiconductor tech sector) to support covering analysts. Established 24 years...
Opportunity The Commercial Analyst is responsible for growing and managing strategic relationships within the payments ecosystem... statistical and predictive modelling techniques to forecast transaction volumes, pricing elasticity, and revenue impacts. Stay...
My client, a leading company in the FMCG and QSR industry, is seeking an Insights Analyst to leverage transactional... statistical analysis, predictive modeling, and BI tools Please note, if you have not heard from us in 2 weeks...
calculating IBNR using actuarial methods, such as short-term insurance runoff triangles and statistical modeling. Educational...
Key Responsibilities: Perform comprehensive statistical analyses to support research and business goals. Build...: A solid foundation in statistics or mathematics, with relevant qualifications. Proficiency in statistical software (e.g., R...
calculating IBNR using actuarial methods, such as short-term insurance runoff triangles and statistical modeling. Requirements...
calculating IBNR using actuarial methods, such as short-term insurance runoff triangles and statistical modeling. Requirements...
with statistical software or programming languages (e.g., R, Python) is a plus. Experience with financial regulations and compliance...
with statistical software or programming languages (e.g., R, Python) is a plus. Experience with financial regulations and compliance...
with statistical software or programming languages (e.g., R, Python) is a plus. Experience with financial regulations and compliance...
with statistical software or programming languages (e.g., R, Python) is a plus. Experience with financial regulations and compliance...
, statistical modelling, and risk scoring Proficiency in data analysis tools (e.g., SQL, R, Python) Experience with data... performance metrics (KPIs), delinquency, and recovery rates Analyse large datasets using statistical methods to inform credit...
data analytics, statistical modelling, and risk scoring Proficiency in data analysis tools (e.g., SQL, R, Python... performance metrics (KPIs), delinquency, and recovery rates Analyse large datasets using statistical methods to inform credit...
, statistical modelling, and risk scoring Proficiency in data analysis tools (e.g., SQL, R, Python) Experience with data... performance metrics (KPIs), delinquency, and recovery rates Analyse large datasets using statistical methods to inform credit...