Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Convatec’s revenues in 2024 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC). About the role: The Insight Analyst in the Data Centre of Excellence delivers high-impact insights using statistical analysis. You will work with business units to frame problems, deliver decision-ready outputs quickly, and partner with the Analytics Engineer and Data Engineering to ensure the required data is available and that repeatable insights become durable, reusable assets in Microsoft Fabric. Your key duties and responsibilities: • Lead discovery with stakeholders: define problem statements, hypotheses, measures, and decision points. • Perform statistical analysis and modelling using languages like Python/R/etc.; apply modelling standards and validation. • Translate outcomes into clear narratives and recommendations, including uncertainty, limitations, and practical actions. • Collaborate with the Analytics Engineer to ensure analytical requirements become reusable features/metrics/datasets. • Build domain alignment and ways of working with federated analysts (coaching, templates, shared approaches). • Operate in agile delivery, keeping time-to-insight short while maintaining analytical rigour. Skills & Experience: • Demonstrated experience in applied analytics, statistics, and/or ML in a commercial environment. • Proficiency in Python and/or R and common modelling workflows (data prep, modelling, evaluation). • Strong communication and stakeholder management—able to engage multiple business units credibly. • Technical ability to work with Analytics Engineering and Data Engineering on data requirements and reusable outputs. • Experience across commercial, supply chain, or manufacturing analytics; healthcare experience beneficial. Desirable: • Experience with attribution, demand/inventory forecasting, supply performance analytics, or experimentation/causal methods. • Familiarity with modern data platforms and governance constraints (Fabric preferred). Qualifications/Education: • Bachelor’s degree in computer science, Mathematics, Statistics, Data Science, or a related quantitative field (or equivalent practical experience). • Background working with modern data platforms and analytics ecosystems. • Relevant certifications on data or analytics platforms (e.g., Microsoft Fabric, Azure, SQL/BI platforms, cloud data technologies) are strongly preferred. • Continuous learning mindset, with evidence of upskilling through certifications, training, or hands-on platform experience. Working Conditions: • Role based in London with hybrid work schedule.