business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise role As a Data Engineer you will utilize your knowledge of Integrations, Automations, Data Management Management, Data Modeling. You will collaborate with the Business Intelligence team, Product Development teams teams, Cloud Operations teams, and the Data Engineering team to curate a high-quality dataset to serve your
for a Senior HR Officer in the Management & Admin Department at our Ngodwana Site reporting to the motivation. Develop and ensure the implementation of Admin Department work instructions, policies, procedures
for a Senior HR Officer in the Management & Admin Department at our Ngodwana Site reporting to the motivation. Develop and ensure the implementation of Admin Department work instructions, policies, procedures
computer literate. Strong attention to detail and admin skills are essential. Must be able to multitask
for the disposing of mortality meat - Capturing hospital data on the Cattle Management System - Management
for the disposing of mortality meat - Capturing hospital data on the Cattle Management System - Management
profitability and growth while being compliant to best admin practises. Establish a culture of trust, effective
assessments to identify gaps and opportunities. Use data- driven insights to inform OD interventions; Strategic through complex transformations; Data-Driven Approach: Proficient in using data and analytics to inform decision-
assessments to identify gaps and opportunities. Use data- driven insights to inform OD interventions; Strategic through complex transformations; Data-Driven Approach: Proficient in using data and analytics to inform decision-
involve adjusting product placement based on sales data and customer feedback. Promotions and Pricing: Collaborate support to store staff. Sales Analysis: Analyze sales data and performance metrics to evaluate the effectiveness areas for improvement. Use insights gained from data analysis to make adjustments to merchandising plans