contact for clients, offering both pre-sales and after-sales technical advice. Assist clients, typically technical assistance and product education. Offer after-sales support and technical backup as needed. Analyze beyond usual hours and over weekends during emergencies. Standard working hours: 40-hour week. Ability
equipment Document machine settings and production data for record-keeping purposes Requirements: Proven and teamwork skills Willingness to work flexible hours, including weekends and overtime as needed High
equipment Document machine settings and production data for record-keeping purposes Requirements: Proven and teamwork skills Willingness to work flexible hours, including weekends and overtime as needed High
Investigations: Analyse policyholder experience data to assess mortality, lapse, and other key assumptions requirements. Data: Perform regular data reconciliation exercises to ensure consistency and accuracy of data used discrepancies or inconsistencies in data sources to maintain data integrity. Sales Channel Support: Provide intervention. Identify opportunities for automation in data processing, modelling and reporting. Requirements:
Investigations: Analyse policyholder experience data to assess mortality, lapse, and other key assumptions requirements. Data: Perform regular data reconciliation exercises to ensure consistency and accuracy of data used discrepancies or inconsistencies in data sources to maintain data integrity. Sales Channel Support: Provide intervention. Identify opportunities for automation in data processing, modelling and reporting. Requirements:
Key Responsibilities: Analyze sales trends, market data, and customer feedback to identify opportunities performance of products, vendors, and suppliers to make data-driven decisions Stay informed about industry trends analytical skills and ability to interpret sales data, market trends, and customer feedback Excellent
Key Responsibilities: Analyze sales trends, market data, and customer feedback to identify opportunities performance of products, vendors, and suppliers to make data-driven decisions Stay informed about industry trends analytical skills and ability to interpret sales data, market trends, and customer feedback Excellent
insurance pricing bases for key products using relevant data, statistical techniques, and modeling software such software packages including Excel, SQL, and R for data management and interpretation Ensure business written
structuring Perform actuarial/statistical analyses on data Ad-hoc actuarial projects Requirements: Making good
structuring Perform actuarial/statistical analyses on data Ad-hoc actuarial projects Requirements: Making good