to management based on commercial and financial data Produce the relevant reports required for the role received, verified (including Port invoices), captured, audited, approved and payment processed timeously
the IFRS 16 accounting are timely and completely captured in monthly reports. Manging the IFRS 16 accounting and tools. Ability to analyse complex financial data, identify trends, and provide insights to support
expenditures.
to management based on commercial and financial data Produce the relevant reports required for the role received, verified (including Port invoices), captured, audited, approved and payment processed timeously
to management based on commercial and financial data
Ensure all Warehouse documentation are completed, captured and filed correctly. Ensure nightshift fleet management before being dispatched. Ensure that returns are captured on the system and establish the reason for the
meetings • Create new companies on Pastel Partner. • Capturing from source documents, full function debtors,
as an AWS Data Engineer (Expert) and leverage your skills in building and maintaining Big Data Pipelines expertise in Python, SQL, and AWS services to drive our data initiatives forward. Be part of a collaborative where your contributions ensure accurate and secure data management. ESSENTIAL SKILLS REQUIREMENTS: - Technical ETL - Docker - Linux / Unix - Big Data - Powershell / Bash - Cloud Data Hub (CDH) - CDEC Blueprint - Any ADVANTAGEOUS SKILLS REQUIREMENTS: - Expertise in data modelling with Oracle SQL. - Exceptional analytical
(Finance) - Data Analyst Assets Management - Data Analyst Human Capital Management (HCM) - Data Analyst Knowledge (KM) - Data Analyst Quality Assurance (QA) - Data Analyst Work Force Management (WFM) - Data Analyst Analyst Data Collection and Cleaning: Collecting data from various sources, including databases and surveys accuracy and completeness. Data Analysis: Performing statistical analysis and data mining to identify patterns Power BI for data analysis and visualization. Insights and Recommendations: Interpreting data to provide
(Finance) - Data Analyst Assets Management - Data Analyst Human Capital Management (HCM) - Data Analyst Knowledge (KM) - Data Analyst Quality Assurance (QA) - Data Analyst Work Force Management (WFM) - Data Analyst Analyst Data Collection and Cleaning: Collecting data from various sources, including databases and surveys accuracy and completeness. Data Analysis: Performing statistical analysis and data mining to identify patterns Power BI for data analysis and visualization. Insights and Recommendations: Interpreting data to provide