5 years experience as a Data Specialist.
contract requirement. As the Data Specialist, you will analyse and interpret data within the company to support Min 5 years experience as a Data Specialist. Must be very strong in Data Analysis. Knowledge of Retail Performance Areas: Collect, store & manage data effectively. Analyse large sets of data to identify trends insights. Establish data quality standards & security measures. Translate data into understandable Power BI. Clean & process data to remove inconsistencies, ensuring data accuracy & reliability.
up on outstanding payments and ensure timely collection.
up on outstanding payments and ensure timely collection. Resolve any billing discrepancies or disputes Provide regular reports on debtor aging and collections status. Creditors Management: Process supplier tasks related to the finance department. Assist with data entry, filing, and maintaining documentation. Handle
synchronisation and alignment of data within operational systems. Ensure data integrity is maintained and up-to-date. Provide IT support for operational systems data and performance analysis Maintain and clean the the core systems with respect to errors and data accuracy System changes will be defined by the business possible enhancements and improvements Eliminate data quality deficiencies, system errors and the misalignment give consent and authorise Elchemie to undertake collection, processing, and further processing of your Personal
order Can maintain the production schedule and collect data about the production and teams performance and
essential including but not limited to: – recons – collections – capturing – 2 years relevant debtors experience
debtors' transactions and cashbook receipts. The collection of funds and ensuring all outstanding monies large volumes of debtors and collections. Responsibilities: Manage collections. Allocate payments. Reconciliation
synchronisation and alignment of data within operational systems. Ensure data integrity is maintained and up-to-date. Provide IT support for operational systems data and performance analysis Maintain and clean the the core systems with respect to errors and data accuracy System changes will be defined by the business possible enhancements and improvements Eliminate data quality deficiencies, system errors and the misalignment
respective category strategies are informed through data and analytics. Active management of all raw Material findings to appropriate stakeholders Use effective data analysis to provide the broader procurement team