At a Glance
- Tasks: Join Pfizer as a Data & Analytics Specialist apprentice, supporting data collection and analysis.
- Company: Pfizer is a global leader in healthcare, dedicated to breakthroughs that change patients' lives.
- Benefits: Enjoy a competitive salary, pension scheme, onsite perks, and opportunities for career growth.
- Why this job: Work with innovative minds, gain hands-on experience, and make a real impact in healthcare.
- Qualifications: Must have Grade 5 in GCSE Maths, Grade 4 in GCSE English, and proficiency in Python.
- Other info: This apprenticeship lasts 21 months, starting on 1st September 2025, with a clear path for future roles.
The predicted salary is between 22800 - 28440 £ per year.
Commercial Data and Analytics (Level 7) Apprentice – Pfizer
If data is your passion, Pfizer is looking to recruit a Data & Analytics Specialist apprentice.
If data is your passion, Pfizer is looking to recruit a Data & Analytics Specialist apprentice. You will support the team collect, study and interpret data in order to produce valuable insights for each of our brands (in market and pipeline).
Qualification Requirements
- Grade 5 in GCSE Mathematics or equivalent, Grade 4 in GCSE English Language or equivalent (prior to admission)
- Proficient in the use of Python
- Bachelor’s degree required, preferred in a quantitative discipline (i.e. a field of study that relies heavily on numerical data, mathematical models, and statistical analysis)
- If you have completed a Level 6 Data Scientist Apprenticeship or Degree you are overqualified for this role and we cannot accept your application.
Salary – £28,440 per annum with annual salary increases
- Pension – Employee 5%, Employer 3%
- Discount Schemes
- Onsite parking
- Onsite canteen
- Employee recognition and awards
Working Hours
Monday to Thursday, 9am – 5.25pm with 45 minute lunch break. Fridays, 9am – 4.05pm with 45 minute lunch break
Duration – 21 months months
Start Date – 1st September 2025
Interview Date –August 2025
Closing Date for Applications – 7th August 2025
To Apply
To apply, please click the Apply Now button and complete the form. If you are having difficulty in completing this, please contact recruitment on recruitment@cogentskills.com for assistance.
Next Steps
Successful candidates will be progressed to a one way video interview, invites will be sent via email.
The video interview will be reviewed by the Hiring Manager along with your application form to decide who is brought through to the final interview.
Job Description
If data is your passion, Pfizer is looking to recruit a Data & Analytics Specialist apprentice. You will support the team collect, study and interpret data in order to produce valuable insights for each of our brands (in market and pipeline).
Job Responsibilities
As a function in the Global Commercial Analytics (GCA) division within Pfizer, Integrated Insights & Strategy plays a critical role to enable Pfizer’s commercial brand strategy. This team functions as internal consultants and brand strategists that partner with commercial and cross-functional leaders, activating data driven problem solving in a way that the business can execute to drive impact and unlock value.
The UK IIS Team truly believe that everything starts with “why”. With this in mind we are partnering with the commercial functions to collect, study and interpret data in order to produce valuable insights for each of our brands (in market and pipeline). To do that in a meaningful and impactful way we need agile minds driven by curiosity. Our mission is to deliver Analytics that drive Actions through connecting our technical skills with business acumen to craft the recommendations that will enable our goals as Pfizer UK. Working in IIS means having visibility of a variety of data, brands, projects, and campaigns across the UK business. The UK ISS Team focusses on asking the right questions, supporting and guiding business decisions and establishing optimum ways of tracking performance.
The CD&AS role within IIS will be responsible for working within one business unit in partnership with the aligned IIS manager to collectively enable data-driven decision-making through the creation and maintenance an analytics ecosystem. This will include, but not be limited to, business performance management reporting and visualisation, resource optimization analytics, sub-national/account-level opportunity mapping, analytics innovation, advanced modelling execution and partnership with the brands on strategic analytical priorities.
The role will be accountable for:
Market and Brand Analytics
- Support and execution of analytics reporting, including secondary data analysis, advanced analytics/data science, and modelling
- Execution of customer analytics, segmentation and targeting, promotional resource allocation, field force sizing, omnichannel analysis, etc.
- Effectively collaborate on the delivery of advanced analytics including predictive modelling, data science and machine learning, as needed
- Seek continuous improvement, including identification of new capabilities and/or data to maximize Pfizer’s competitive advantage
Performance Management/Forecasting/Operating Plan Support
- Monitor portfolio performance and deliver accurate and effective performance measurement solutions are built and maintained
- Monitor the external marketplace/competitive landscape and ensure clear insights are driving commercial decisions
- Support data modelling and forecasting needs, including for LRF and operating plans.
Primary Market Research Management
- Support PMR execution and identify opportunities to elevate PMR data to enrich secondary analytics and/or execute innovative uses of existing data.
- Accountable for meeting compliance and corporate SOP obligations of primary market research as relevant.
Cross Functional Collaboration + Capability Creation
- Contribute to the advancement of GCA capabilities and enable the scaling of those capabilities across UK and/or IDM
- Facilitate best practice sharing and knowledge management
- Enrol and educate commercial counterparts to utilize the correct analytical tools and drive recommendation adoption.
Candidate Requirements
Skills
- Hands on expertise with machine learning models, proficiency in: Python/R and at least one of visualization tools Tableau/Qlik/Power BI
- Proficient with both statistics and linear algebra
- Strong MS Excel and PowerPoint skills
- Rational, innovative and creative approach to problem solving
- Passion to continue learning and improving themselves
- Multi-disciplinary experience with a preference for exposure to business analytics/finance, marketing, engineering, or other quantitative field
- Knowledge of the pharmaceutical industry in UK including relevant data sources required to understand and generate insights about the market
- Experience across GCA capabilities including data analytics, primary and secondary market research, data reporting & visualization, and forecasting/modelling; specific experience in Dataiku/DSS and Tableau are highly desired. SQL helpful also.
- Familiarity with artificial intelligence/machine learning (AI/ML) and data science approaches
- Aptitude for translating insights and analytics into actions and business decisions via storytelling
- Demonstrated business acumen, ideally in pharma industry or healthcare
- Demonstrated project management skills
- Fluency in English (written & Spoken)
Personal Qualities
- Enthusiastic attitude and approach to teamwork with positive influencing and listening skills
- Demonstrates sound judgement when making decisions
- Self-driven and able to set personal goals which are realistic and challenging
- Agile, flexible and resilient
- Demonstrated collaborative & proactive partnership with stakeholders
- Innovative and agile mindset + self-starter
- Fast learner, adaptable, accountable
Training To Be Delivered
Apprenticeship Standard:Artificial intelligence (AI) data specialist
Training Provider:Cambridge Spark
Delivery model:Online
Future Prospects
Upon successful completion of the apprenticeship, you will be eligible to apply for other positions within the business.
• Integrated Insights & Strategy Manager role
Things To Be Considered
To be considered you must have a level of proficiency in Python.
About Pfizer
You’re the future. Your ambition, talents, ideas and unique way of looking at the world will help us drive innovation in every part of our business.
Our company purpose – “Breakthroughs that Change Patients’ Lives” – guides our environmental sustainability priorities. We’re passionate about protecting human health. That’s reflected in our environmental sustainability goals: climate action & sustainable medicines.
Bringing Breakthroughs that Change Patients’ Lives goes beyond breakthrough medicines. Climate change is impacting the health we protect and the patients we serve. It’s the challenge of our age, we need to act, and our customers and patients want us to act.
We leverage scientific innovation to reduce our environmental impact through climate impact mitigation, conservation of resources and the reduction of waste.
We will continue to work in partnership, using science to combat climate change together #ScienceWillWin
We need people with a hugely diverse range of talents. “Love Science? Want to work on the business side? Get stuck into an apprenticeship to launch a career in anything from working in the drug development labs to paralegal service”.
Pfizer’s apprenticeship scheme, run in partnership with Cogent Skills, offers the best of both worlds. You’ll work with world-leaders in your field, from researchers to business gurus. You’ll study towards a nationally recognised academic or professional qualification. And all the time, you’ll be earning a highly competitive salary.
Looking for an alternative to college or university, where you can earn while you learn, and build experience with a global leader? Find it at Pfizer.
Not sure where this career can take you?
Take a look at our dedicated Careers hub to see what this career could look like for you in the future!
Cogent Skills group (Cogent) is working hard to ensure a clear strategy towards proactively supporting Equality, Diversity and Inclusion initiatives that seeks to improve diversity and create opportunities for all. GDPR will be complied with when collecting and using this data and the data that you provide will be used for monitoring and analysis only.
Future Ready
Cogent Skills is sector based, working with companies from across the Science and Technology Industries embracing Life Sciences, Industrial Sciences and Nuclear.
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Commercial Data and Analytics (Level 7) Apprentice – Pfizer employer: Pfizer Limited
Contact Detail:
Pfizer Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Data and Analytics (Level 7) Apprentice – Pfizer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, Tableau, and data visualisation techniques. Being able to demonstrate your proficiency in these areas during the interview will set you apart from other candidates.
✨Tip Number 2
Research Pfizer's current projects and initiatives related to data analytics. Understanding their business model and how they leverage data can help you tailor your responses in the interview, showing that you're not just passionate about data but also about contributing to their specific goals.
✨Tip Number 3
Prepare for the one-way video interview by practising common interview questions related to data analytics and problem-solving. Use the STAR method (Situation, Task, Action, Result) to structure your answers, ensuring you highlight relevant experiences and skills.
✨Tip Number 4
Network with current or former employees of Pfizer, especially those in the Global Commercial Analytics division. They can provide valuable insights into the company culture and expectations, which can help you align your approach during the interview process.
We think you need these skills to ace Commercial Data and Analytics (Level 7) Apprentice – Pfizer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your proficiency in Python and any relevant experience in data analytics. Emphasise your quantitative skills and any projects that demonstrate your ability to interpret data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and analytics. Mention specific examples of how you've used data to drive decisions or insights in previous roles or projects. Show enthusiasm for Pfizer's mission and how you can contribute.
Highlight Relevant Skills: Clearly list your technical skills, especially in Python, data visualisation tools like Tableau or Power BI, and any experience with machine learning. Make sure to connect these skills to the responsibilities outlined in the job description.
Prepare for the Video Interview: Once your application is submitted, prepare for the one-way video interview. Practice answering common interview questions related to data analytics and be ready to discuss your problem-solving approach and teamwork experiences.
How to prepare for a job interview at Pfizer Limited
✨Show Your Passion for Data
Make sure to express your enthusiasm for data and analytics during the interview. Share specific examples of projects or experiences where you used data to derive insights, as this will demonstrate your genuine interest in the field.
✨Demonstrate Technical Proficiency
Since proficiency in Python is a requirement, be prepared to discuss your experience with it. You might even want to brush up on relevant libraries or frameworks that are commonly used in data analysis, as this could come up in technical questions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to apply analytical thinking. Prepare for scenario-based questions where you may need to explain how you would approach a specific data challenge or project.
✨Understand Pfizer's Mission and Values
Familiarise yourself with Pfizer's mission of 'Breakthroughs that Change Patients’ Lives'. Be ready to discuss how your values align with theirs and how you can contribute to their goals through data-driven decision-making.