responsible for collecting, analysing, and interpreting data related to market trends, customer behaviour, competitor 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 strategic recommendations to senior management based on data-driven insights to support business planning and
responsible for collecting, analysing, and interpreting data related to market trends, customer behaviour, competitor 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 strategic recommendations to senior management based on data-driven insights to support business planning and
obsessed with tracking performance and actively use data to track all activities, to review what is working continuously review processes, reporting and use of data and will implement effective changes and automation
and user experience. Analyse performance data and make data-driven recommendations. Source and manage
and user experience. Analyse performance data and make data-driven recommendations. Source and manage
expenditure against forecast to agreed timescales. Ensure data integrity of sales and timeous reporting. Leads
expenditure against forecast to agreed timescales. Ensure data integrity of sales and timeous reporting. Leads
customer research, market conditions, competitor data and implements marketing plan changes as needed
customer research, market conditions, competitor data and implements marketing plan changes as needed