supporting and ensuring the successful completion of analytical, building, testing and deployment tasks of our Experience in analysing data to draw business-relevant conclusions and in data visualization techniques
adherence to procedures. Analytical mind-set with the ability to examine and interpret data. Proactive approach
communication skills Self-motivated and strong analytical skills Attention to detail, prioritization skill organized and able to deal with a high volume of data. Able to work proactively and independently with
Training aound Cybersecurity , Datascience and Analytics for 1 year with potential to be extended to permanent
foresee potential equipment failures. Analyzing data from monitoring systems to predict and prevent equipment and Reporting : Analyzing equipment performance data to identify trends and areas for improvement. Preparing within budget. Data Management and Analysis : Collecting, analyzing, and utilizing data to make informed
foresee potential equipment failures. Analyzing data from monitoring systems to predict and prevent equipment and Reporting : Analyzing equipment performance data to identify trends and areas for improvement. Preparing within budget. Data Management and Analysis : Collecting, analyzing, and utilizing data to make informed
insurance industry. Duties Include: – Pull loss data for renewals – Prepare renewal invite pack for Senior Insurance Management System – Analyse new business data, risks and profile – New business quotes, negotiation
insurance industry. Duties Include: – Pull loss data for renewals – Prepare renewal invite pack for Senior Insurance Management System – Analyse new business data, risks and profile – New business quotes, negotiation
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
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