Insight Analyst

Convatec

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.

About the role

The Insight Analyst in the Data Centre of Excellence delivers high‑impact insights using statistical analysis. The role involves working with business units to frame problems, delivering decision‑ready outputs quickly, and partnering with the Analytics Engineer and Data Engineering to ensure that 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 such as Python or R, applying 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, and datasets.
• Build domain alignment and ways of working with federated analysts (coaching, templates, shared approaches).
• Operate in an agile delivery environment, keeping time‑to‑insight short while maintaining analytical rigour.

Skills & Experience

• Demonstrated experience in applied analytics, statistics, and/or machine learning in a commercial environment.
• Proficiency in Python and/or R and common modelling workflows (data preparation, modelling, evaluation).
• Strong communication and stakeholder management skills – 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 is 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 Lisbon with a hybrid work schedule.

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