At a Glance
- Tasks: Transform data into actionable insights for strategic decision-making in healthcare.
- Company: Join Novartis, a global leader in reimagining medicine.
- Benefits: Competitive salary, professional growth, and a commitment to diversity and inclusion.
- Other info: Dynamic role with opportunities for collaboration and innovation.
- Why this job: Make a real impact in healthcare by driving data-driven strategies.
- Qualifications: 8+ years in insights, analytics, or commercial strategy; strong communication skills.
The predicted salary is between 57000 - 123630 £ per year.
The Integrated Insights Business Partner (CP3) is a country-level role within the Integrated Insights pillar of Execution Excellence (EE). This role transforms data into actionable insights to support Commercial and Value & Access (V&A) decision-making for assigned Therapeutic Areas (TAs). It bridges strategy with execution by translating business priorities into clear analytics questions and orchestrating delivery through Data, Analytics & Platforms (DAP) and external partners. The role leads the execution of TA and V&A insight plans in line with EE standards.
Key Responsibilities
- Act as the primary Integrated Insights partner for assigned Therapeutic Areas and/or Value & Access.
- Translate business strategies into clear insight and analytics questions.
- Lead and execute market research initiatives (primary and secondary), including segmentation, patient journey mapping, and competitive intelligence.
- Synthesize internal KPIs and external data sources into actionable business insights.
- Support forecasting by providing robust market assumptions and collaborating with cross-functional teams.
- Partner with Value & Access to generate payer and access-related insights.
- Conduct advanced data analysis to identify trends, opportunities, and risks.
- Deliver impactful reports, dashboards, and data-driven storytelling to senior stakeholders.
- Ensure alignment and consistency of data, insights, and assumptions across functions.
Essential Requirements
- Bachelor’s degree in Life Sciences, Business, Economics, or related field; advanced degree preferred.
- 8+ years of experience in Integrated Insights, market research, analytics, or commercial strategy in pharma/biotech/healthcare.
- Strong strategic thinking and data analytics capabilities.
- Experienced in primary and secondary market research and forecasting.
- Ability to translate complex data into business-relevant insights.
- Strong influencing and stakeholder management skills.
- Excellent communication and storytelling skills.
- Knowledge of compliance standards and regulatory environment.
- Technical skills (e.g., SQL, Power BI, Alteryx) are an advantage.
Why Novartis?
At Novartis, we reimagine medicine to improve and extend people’s lives. Join us to be part of a global organization that values innovation, collaboration, and impact. We offer opportunities for professional growth, a strong commitment to diversity and inclusion, and a purpose-driven culture where you can make a difference.
Skills Desired
- Agility (Inactive)
- Cross-Functional Collaboration
- Customer Engagement
- Customer Experience (CX)
- Customer Insights
- Data Analytics
- Data Strategies
- Digital Marketing
- Marketing Strategies
- Market Research
- Media Campaigns
- Product Marketing
- Stakeholder Engagement
- Stakeholder Management
- Team Leadership
- Waterfall Model
Integrated Insights Business Partner in London employer: Novartis
At Novartis, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our Integrated Insights Business Partner role offers not only competitive salaries but also a commitment to professional growth and diversity, ensuring that every employee has the opportunity to make a meaningful impact in the healthcare sector. Located in a dynamic environment, you will be part of a team that values your insights and contributions, empowering you to drive change and improve lives.
StudySmarter Expert Advice🤫
We think this is how you could land Integrated Insights Business Partner in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Novartis!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Integrated Insights Business Partner at Novartis.
✨Leverage Professional Networks
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 Novartis.
✨Apply Directly through Our Website
When you find a suitable opening like Integrated Insights Business Partner at Novartis, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Integrated Insights Business Partner in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Novartis, 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 Novartis. 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 Novartis
✨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 Novartis!
✨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.
