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- Tasks: Support data analysis and deliver insights to drive commercial strategy.
- Company: Join Pfizer, a leader in the pharmaceutical industry with a focus on innovation.
- Benefits: Gain a nationally recognised qualification while earning and learning.
- Why this job: Be part of a dynamic team shaping the future of healthcare through data.
- Qualifications: GCSE Maths and English, plus a degree in a quantitative field.
- Other info: Flexible, fast-paced environment with opportunities for personal growth.
Pfizer is looking for a Data & Analytics Specialist apprentice to support the Global Commercial Analytics (GCA) team. As an internal consultant and brand strategist, you will partner with commercial leaders to collect, analyse and interpret data to deliver actionable insights that drive our commercial strategy.
Responsibilities
- Support and execute analytics reporting, including secondary data analysis, advanced analytics/data science, and modelling.
- Execute customer analytics, segmentation, targeting and promotional resource allocation, field force sizing, omnichannel analysis, etc.
- Collaborate on the delivery of advanced analytics projects containing predictive modelling, data science and machine learning.
- Identify and pursue new capabilities and data sources to enhance Pfizer's competitive advantage.
- Monitor portfolio performance and deliver performance measurement solutions.
- Provide external marketplace insight to drive commercial decisions.
- Support data modelling and forecasting needs, including LRF and operating plans.
- Execute primary market research, elevate PMR data, and ensure compliance with SOPs.
- Contribute to GCA capability advancement, enable scaling across UK and IDM, share best practices and manage knowledge.
- Educate commercial counterparts to use analytical tools and adopt recommendations.
Qualifications
- Grade 5 in GCSE Mathematics or equivalent.
- Grade 4 in GCSE English Language or equivalent (prior to admission).
- Bachelor's degree required; preferred in a quantitative discipline (e.g., statistics, math, engineering).
- Proficiency in Python and Excel.
- Experience with machine learning models, Python/R and visualization tools such as Tableau, Qlik or Power BI.
- Strong knowledge of statistics, linear algebra, MS Excel and PowerPoint.
- Experience with SQL, Dataiku/DSS, Tableau or similar analytics platforms.
- Knowledge of the UK pharmaceutical industry and relevant data sources.
- Understanding of AI/ML and data science approaches.
- Strong business acumen, preferably in pharma or healthcare.
- Demonstrated project management and vendor management skills.
- Fluency in English (written & spoken).
- Enthusiastic, proactive, adaptable and collaborative attitude.
Personal Qualities
- Self‑driven with realistic goal setting.
- Agile, flexible and resilient in a fast‑moving environment.
- Innovative mindset and self‑starter.
- Excellent communication, judgement and teamwork.
Commitment & Learning
- Apprenticeship includes study towards a nationally recognised qualification.
- Commit to a regular amount of personal time for learning and improvement.
Join Pfizer and help drive breakthrough innovation while advancing your career as an apprentice.
Commercial Data and Analytics (Level 7) Apprentice - Pfizer employer: Cogent Skills
Contact Detail:
Cogent Skills Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Data and Analytics (Level 7) Apprentice - Pfizer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Pfizer on LinkedIn. Ask them about their experiences and any tips they might have for landing the apprenticeship. Personal connections can give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analytics and the pharmaceutical industry. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your skills effectively!
✨Tip Number 3
Show off your skills! If you’ve worked on any relevant projects or have experience with Python, SQL, or data visualisation tools, be ready to discuss them in detail. Bring examples of your work to the interview if possible; it’ll make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have additional resources and tips available there to help you along the way.
We think you need these skills to ace Commercial Data and Analytics (Level 7) Apprentice - Pfizer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your skills in data analysis, Python, and any relevant experience in the pharmaceutical industry. We want to see how you can bring value to our team!
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Include specific examples of projects or coursework where you've used analytics tools like Excel, SQL, or Python. This helps us see your practical experience in action.
Be Authentic: Let your personality shine through in your application. We’re looking for enthusiastic and proactive individuals, so don’t be afraid to show us your passion for data and analytics. A bit of your unique flair can make a big difference!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at Cogent Skills
✨Know Your Data
Make sure you brush up on your data analysis skills before the interview. Familiarise yourself with key concepts in statistics, machine learning, and data visualisation tools like Tableau or Power BI. Being able to discuss these topics confidently will show that you're ready to dive into the role.
✨Understand Pfizer's Market
Do some research on the UK pharmaceutical industry and Pfizer's position within it. Knowing about their products, competitors, and recent developments will help you answer questions more effectively and demonstrate your genuine interest in the company.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, SQL, and Excel. You might even be asked to solve a problem or analyse a dataset during the interview, so practice your coding and analytical skills beforehand to ensure you're ready to impress.
✨Demonstrate Your Soft Skills
Since this role involves collaboration with commercial leaders, highlight your communication and teamwork abilities. Share examples of how you've worked in teams or led projects, showcasing your proactive and adaptable attitude, which is crucial for success in a fast-paced environment.