Together. HUstLe HULove ABOUT THE ROLE: As an Admin and Data Clerk at HUL International, you will be responsible supply chain operations is advantageous. Accurately capture new orders and order amendments on the system within sent, and received according to shipment dates. Capture swing tag order status on the system and communicate communication and interpersonal abilities. Proficiency in data entry and system navigation. Ability to work effectively
cutting-edge technology. Our client is seeking a Data Scientist with a strong background in machine learning to travel to the office daily. Responsibilities: Data Analysis and Modelling: Develop and deploy machine optimize processes Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Collaborate with stakeholders to define data-driven objectives objectives and formulate data strategies aligned with business goals Identify key performance indicators (KPIs)
Checking and posting of recurring Journal entries. Capturing of orders and creditors invoices when goods or
and update the fixed asset register. Analyse and capture closing stock for all stores, investigate discrepancies
transfer the necessary data according to business needs Clean and prepare data for reporting Recommend Recommend techniques and strategies to optimize data storage, reporting, and analysis Document the solutions knowledge of database management Integration of data from multiple systems with inherent complexity Advantageous:
PPC, Social Media & other Analyse campaign data, manage campaigns Work with CRM tools: Hubspot /
PPC, Social Media & other Analyse campaign data, manage campaigns Work with CRM tools: Hubspot /
processes by collecting, analysing, and reporting of data to the various business departments. Job Responsibilities: Responsibilities: Create written reports and/or data visualisations that business stakeholders can use to monitor across business KPIs Collect, sort, filter, analyse data and interpret the results to look for patterns and
industry. Strong analytical skills with proficiency in data analysis and financial modelling. Excellent communication ability: Proficient in Microsoft Excel and other data analysis tools. Proficient in Microsoft Word and
and sales reporting. - Ability to analyse data and present data in a professional manner - Excellent customer