enquiries and appropriate solution processing, capturing clients on internal system, diarizing correspondence
providing full bookkeeping services inclusive of capturing, reconciliations, tax submissions and management
vendors. Liaise with head office Receiving and capturing of invoices from receiving. Ensure all documents correct cost centres and general ledgers when capturing Prepare month end creditors file for payment.
assets. We are searching for dedicated and talented Data Analysts. In this role you will be responsible for transactional data as well as private company characteristics and financial statement metrics. Data is compiled opportunity to join a vibrant, fast growing and dynamic Data Operations Team that helps set the gold standard standard for research quality private capital data. What we will offer you: At MSCI we are passionate about company level financial data Capture, enhance and maintain large volumes of financial data Develop an in-depth
functionality – Eg. What information is required to be captured and how should it be validated. Minimums, Maximums
functionality – Eg. What information is required to be captured and how should it be validated. Minimums, Maximums
orders are sent to suppliers timeously Accurately capture invoices on MDA Ensure invoices are authorised
costing and invoicing processes, validating financial data, and analyzing performance metrics to drive operational materials, labor, and overheads are accurately captured and validated. Regularly review costing processes
costing and invoicing processes, validating financial data, and analyzing performance metrics to drive operational materials, labor, and overheads are accurately captured and validated. Regularly review costing processes
Credit Analytics & Modelling Manager to turn data into actionable insights with the precision of a Organising Action Planning Data Collection and Analysis Verbal Communication Data Control Numerical Skills and validating data to perform quantitative analysis for statistical and modelling data. Analysis of historical historical data, data cleaning, sampling, variable selection, modelling, and performance evaluation Develop