2 of 2 Predictive Analysis Jobs in Preston

data collection, proposing scalable solutions, and building tools to support both data strategy and advanced analytics. Experience leveraging AI or machine learning tools for predictive analysis, personalisation, or automation is a strong plus. Key Responsibilities: Business Intelligence Dashboards Build and maintain user-friendly dashboards to visualise key metrics … that may indicate fraudulent transactions or policy violations Incorporate AI-driven insights or anomaly detection methods to improve fraud monitoring and trend forecasting Data Analysis Utilise statistical and AI-enhanced models to analyse user behaviour and forecast engagement trends User Behaviour Analysis: Track and analyse user interactions on … and assess the effectiveness of marketing campaigns Customer Segmentation Use data to segment users by behaviour, demographics, geography, and preferences Customer Lifetime Value (LTV) Analysis: Segment users based on engagement, spending habits, and retention to predict LTV and identify high-value customers Explore predictive modeling or AI-powered More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯