Insight Analyst in London

Insight Analyst in London

London Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
ConvaTec Group

At a Glance

  • Tasks: Deliver high-impact insights through statistical analysis and collaborate with various business units.
  • Company: Join Convatec, a global leader in medical solutions dedicated to improving lives.
  • Benefits: Enjoy a hybrid work schedule, competitive salary, and opportunities for continuous learning.
  • Other info: Work in a dynamic environment with a focus on innovation and career growth.
  • Why this job: Make a real impact in healthcare by transforming data into actionable insights.
  • Qualifications: Experience in analytics, proficiency in Python/R, and strong communication skills required.

The predicted salary is between 45000 - 55000 £ per year.

About Convatec: 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.

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.

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 Lisbon with hybrid work schedule.

At Convatec, we’re pioneering trusted medical solutions to improve the lives we touch. If you’re ready to make a real impact, apply today and help us bring our Forever Caring promise to life.

Equal opportunities: Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.

Insight Analyst in London employer: ConvaTec Group

At Convatec, we pride ourselves on being an exceptional employer, offering a collaborative and innovative work culture that empowers our Insight Analysts to make a meaningful impact in the healthcare sector. Located in vibrant Lisbon, our hybrid work model promotes flexibility while providing ample opportunities for professional growth through continuous learning and development. Join us in our mission to improve lives with trusted medical solutions, and be part of a team that values your contributions and fosters a supportive environment.

ConvaTec Group

Contact Details:

ConvaTec Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Insight Analyst in London

Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ConvaTec Group.

Apply Directly through Our Website

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We think you need these skills to ace Insight Analyst in London

Statistical Analysis
Python
R
Data Modelling
Stakeholder Management
Analytical Rigor
Agile Delivery

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at ConvaTec Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ConvaTec Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at ConvaTec Group

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ConvaTec Group!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.