Insights And Analytics Lead
Current• Specialist in Membership Retention analysis. Working on processing (ETL) and analysing clients’ existing datasets to generate business insights and predict long-term performance against their objectives. This role involves processing big data from a variety of sources, analysing it for insights, and then playing it back to client in a way that is actionable for them and will lead to real-life business changes. • Strong ML skills in R used for Segmentation and Retention forecasting. Focus on running segmentation analysis in R to highlight customer profiles and apply NLP to identify optimal positioning and communication strategies at the acquisition stage. ML also used to predict current members renewal patterns and flag at-risk users to enable early intervention and improved retention. • Subject matter expert in Conjoint research from survey design to results analysis in R. Designed to evaluate the impact of customer offering changes on long-term customer acquisition and retention the finalised output is an interactive tool designed to predict customer acquisition, retention, and 5-year cash flow for any potential product offering. • PowerBI expert with dozens of reporting tools designed from KPI dashboards to be used for daily performance tracking to interactive financial forecasting model to support board-level strategy-making. Connected to a range of sources from SQL databases to Sharepoint spreadsheets as well as Google script-run APIs. Also providing PowerBI training for clients who wish to build in-house capability. • Other works include retention and cash-flow forecasting, cohort profiling, free-text and sentiment analysis, and API and connected data import.