the box thinking and analyzing large quantities of data to positively affect profitability and credit losses and validating data to perform quantitative analysis for statistical and modeling data. Model creation
the box thinking and analyzing large quantities of data to positively affect profitability and credit losses and validating data to perform quantitative analysis for statistical and modeling data. Model creation
Description Senior Sales Specialist: Data Our client in the digital solutions industry is seeking a Sales value and capabilities of an ever-expanding data platforms, data management and analytics eco-system environment
you'll play a key role in analyzing complex data sets, developing pricing models, and assessing the
Responsibilities:
Conducting in-depth analysis of data to support pricing decisions and financial valuations
data analysis tools
Experience working in the insurance
journeys using Adobe Journey Optimizer, leveraging data insights, segmentation, and personalization techniques based on demographic, behavioural, and transactional data, ensuring relevance and effectiveness of marketing analytical skills, with the ability to interpret data, analyze results, and draw actionable insights to
statistical data
- Update actuarial forecasting models, refine and collect appropriate data for actuarial
of health plans.
- Design health metrics and data analysis methods - collaborate with other units
accurate and efficient implementation of metrics and data.
- Participate and assist in various committees
/>- Collect, analyse, and interpret large sets of data to inform actuarial decisions. ;
- Knowledge
organization. Implementation of ‘End Customer Data' based on Distributor data within the existing reporting environment digitalization actively and play a major role in data driven and digital environment. Passion to connect Healthcare Sector (nice to have) - passion for data crunching and data mining. Soft skills: open minded - Team
computer applications. Knowledge of data management and financial data analysis. An associate qualification transaction details to subsidiary books. Transfer data to the general ledger. Reconcile and balance all volume. Privacy: Data processed as per Privacy Policy. By applying, you agree to data handling. We safeguard