computing, posting and recording accounts payable data. Liaising with internal departments regarding outstanding invoice capturing Supplier reconciliations to supplier statements Supplier credit note capturing Building Building relationships with suppliers Bank capturing and bank reconciliation Sundry recovery invoicing (internal)
computing, posting and recording accounts payable data. Liaising with internal departments regarding outstanding invoice capturing Supplier reconciliations to supplier statements Supplier credit note capturing Building Building relationships with suppliers Bank capturing and bank reconciliation Sundry recovery invoicing (internal)
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
problem-solving skills, with the ability to analyze data and make data-driven decisions. Proficiency in logistics
problem-solving skills, with the ability to analyze data and make data-driven decisions. Proficiency in logistics
with various teams to optimize processes, analyze data, and implement improvement initiatives. Additionally effectively with cross-functional teams Proficient in data analysis and interpretation Knowledge of quality
and maintain demand forecasts based on historical data, market trends, and sales analysis Analyze inventory problem-solving skills with the ability to interpret data and make accurate forecasts Experience with demand