Debtors Clerk attends to the billing and debt collection requirements within the Finance department, while Reconciliation of Debtors accounts (daily/weekly/monthly) Collections of outstanding payments owed by debtors and flagging Suspensions Weekly/Monthly reporting of cash collections and outstanding debtors – ageing reports Attending accounting principles, fair credit practice and collection regulations Effective time management Proficiency
excellence for us all to follow. It's through this collective effort that Winning Happens When We Work Together Together. HUstLe HULove ABOUT THE ROLE: As an Admin and Data Clerk at HUL International, you will be responsible communication and interpersonal abilities. Proficiency in data entry and system navigation. Ability to work effectively
and execute cutting-edge AI and BI solutions data science projects analytics and machine learning models insights data strategies, build models, and embed models into software-driven business processes Data Analysis outcomes, and optimize processes Data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Define data-driven objectives and formulate data strategies aligned business goals Identify KPIs and establish data collection and measurement protocols Feature Engineering:
a visionary Data Scientist to spearhead their data-driven initiatives as the Head of Data Science. Join future of data-driven decision-making. APPLY NOW Key Responsibilities: Shape and execute the data strategy objectives and drive innovation. Lead a team of data scientists and analysts, providing guidance, mentorship mentorship, and support. Oversee the collection, storage, and analysis of data to derive actionable insights leveraging data to solve business challenges. Develop and implement best practices for data governance
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)
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)
a visionary Data Scientist to spearhead their data-driven initiatives as the Head of Data Science. Join impact, where your expertise will shape the future of data-driven decision-making.
APPLY NOW!
Key Responsibilities:
Analyst will be responsible for collecting, analysing, and interpreting data related to market trends, customer for detail, and the ability to translate complex data into actionable insights and recommendations. Key landscapes. Data Analysis: Analyze large datasets using statistical techniques and data visualization forecasts and demand projections based on historical data, market trends, and industry analysis. Competitor Customer Insights: Utilize customer feedback, surveys, and market segmentation analysis to identify target
Analyst will be responsible for collecting, analysing, and interpreting data related to market trends, customer for detail, and the ability to translate complex data into actionable insights and recommendations. Key landscapes. Data Analysis: Analyze large datasets using statistical techniques and data visualization forecasts and demand projections based on historical data, market trends, and industry analysis. Competitor Customer Insights: Utilize customer feedback, surveys, and market segmentation analysis to identify target
information data basis). Contributing to market intelligence projects (market survey, pricing survey). Understanding Contributing to key account approach development – customer data base with key promotion initiatives. Identifying