At a Glance
- Tasks: Deliver impactful insights through statistical analysis and collaborate with various business units.
- Company: Global leader in medical products focused on chronic condition management.
- Benefits: Hybrid work schedule, competitive salary, and opportunities for continuous learning.
- Other info: Join a dynamic team in Lisbon with excellent career growth potential.
- Why this job: Make a real difference in healthcare by turning data into actionable insights.
- Qualifications: Experience in analytics, proficiency in Python or R, and strong communication skills.
The predicted salary is between 40000 - 50000 € per year.
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.
Insight Analyst employer: Convatec
Convatec is an exceptional employer that prioritises employee growth and development within a collaborative and innovative work culture. As an Insight Analyst based in Lisbon, you will benefit from a hybrid work schedule, access to cutting-edge data technologies, and opportunities to engage with diverse business units, all while contributing to meaningful solutions in healthcare. The company fosters a continuous learning environment, ensuring that employees can enhance their skills and advance their careers in the dynamic field of medical products and technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Insight Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Convatec or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Python or R. When you get the chance to chat with hiring managers, having something tangible to discuss can really set you apart.
✨Tip Number 3
Be ready for the unexpected! In interviews, they might throw some real-world problems your way. Brush up on your statistical analysis skills and think through how you'd tackle these challenges on the spot.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Insight Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Insight Analyst role. Highlight your experience with statistical analysis, Python or R, and any relevant projects that showcase your skills in applied analytics.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled similar challenges in the past and how you can bring value to our team at Convatec.
Showcase Your Communication Skills:Since strong communication is key, make sure to demonstrate your ability to translate complex data insights into clear narratives. Use straightforward language and avoid jargon to show us you can engage with stakeholders effectively.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it as we review candidates for the Insight Analyst position.
How to prepare for a job interview at Convatec
✨Know Your Stats
Brush up on your statistical analysis skills, especially in Python or R. Be ready to discuss specific projects where you've applied these skills, and how you framed problems and delivered insights.
✨Communicate Clearly
Practice translating complex data findings into simple narratives. During the interview, focus on how you can convey uncertainty and limitations while still providing actionable recommendations.
✨Show Your Collaborative Spirit
Be prepared to talk about your experience working with cross-functional teams. Highlight any instances where you partnered with analytics engineers or other stakeholders to create reusable insights.
✨Stay Agile
Familiarise yourself with agile methodologies. Discuss how you've kept time-to-insight short in previous roles while maintaining analytical rigour, and be ready to share examples of your adaptability in fast-paced environments.
