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For Companies At a Glance
- Tasks: Support data collection and analysis to generate insights for Pfizer's brands.
- Company: Join Pfizer, a leader in health innovation and sustainability.
- Benefits: Enjoy 25.5 days holiday, casual dress, discounts, and onsite perks.
- Why this job: Be part of a dynamic team driving impactful data-driven decisions.
- Qualifications: GCSE Maths and English required; proficiency in Python essential.
- Other info: This is a 21-month apprenticeship starting September 2025.
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 – ÂŁ28,440 per annum with annual salary increases
Benefits
- Holiday Allowance – 25.5 Days Holiday Allowance, plus Bank Holidays
- Pension – Employee 5%, Employer 3%
- Casual dress
- Discount Schemes
- Onsite parking
- Onsite canteen
- Employee recognition and awards
Location – Walton Oaks, Dorking Road, Tadworth, Surrey, KT20 7NS
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
Start Date – 1st September 2025
Interview Date – August 2025
Closing Date for Applications – 7th August 2025
To Apply
Please click the Apply Now button and complete the form. For assistance, contact recruitment at recruitment@cogentskills.com.
Next Steps
Successful candidates will be invited to a one-way video interview, with invites sent via email. The video interview will be reviewed by the Hiring Manager along with your application to determine final candidates.
Job Description
If data is your passion, Pfizer is looking to recruit a Data & Analytics Specialist apprentice. You will support the team in collecting, studying, and interpreting data to produce valuable insights for our brands (in market and pipeline).
Job Responsibilities
As part of the Global Commercial Analytics (GCA) division within Pfizer, the Integrated Insights & Strategy team plays a critical role in enabling Pfizer’s commercial brand strategy. This team acts as internal consultants and brand strategists, partnering with commercial and cross-functional leaders to activate data-driven problem solving that drives impact and unlocks value.
The UK IIS Team believes that everything starts with “why”. We collaborate with commercial functions to collect, study, and interpret data to produce impactful insights. We seek agile minds driven by curiosity, aiming to deliver analytics that translate into actionable recommendations aligned with Pfizer UK’s goals. Working in IIS provides visibility into various data, brands, projects, and campaigns across the UK business. The team focuses on asking the right questions, supporting business decisions, and establishing optimal performance tracking methods.
The CD&AS role within IIS will work within a single business unit, partnering with the IIS manager to enable data-driven decision-making through analytics ecosystem creation and maintenance. Responsibilities include business performance reporting, visualization, resource optimization analytics, opportunity mapping, analytics innovation, advanced modeling, and strategic partnership with brands.
The role will be accountable for:
- Supporting and executing analytics reporting, including secondary data analysis, advanced analytics/data science, and modeling
- Executing customer analytics, segmentation, targeting, resource allocation, field force sizing, omnichannel analysis, etc.
- Collaborating on advanced analytics projects, including predictive modeling, data science, and machine learning
- Seeking continuous improvement through identifying new capabilities and data sources to maximize Pfizer’s competitive advantage
Performance Management/Forecasting/Operating Plan Support
- Monitoring portfolio performance and delivering accurate performance measurement solutions
- Monitoring the external marketplace and competitive landscape to inform business decisions
- Supporting data modeling and forecasting for LRF and operating plans
Primary Market Research Management
- Supporting PMR execution and identifying ways to enhance data utility
- Ensuring compliance with relevant SOPs and regulations
Cross-Functional Collaboration & Capability Creation
- Advancing GCA capabilities and scaling them across UK and IDM
- Facilitating best practice sharing and knowledge management
- Educating commercial teams on analytical tools and promoting recommendation adoption
Candidate Requirements
Skills
- Hands-on experience with machine learning models, proficiency in Python/R and visualization tools like Tableau/Qlik/Power BI
- Strong knowledge of statistics and linear algebra
- Excellent MS Excel and PowerPoint skills
- Creative problem-solving skills
- Passion for continuous learning and self-improvement
- Experience in business analytics, finance, marketing, engineering, or related fields
- Knowledge of UK pharmaceutical industry data sources
- Experience with GCA capabilities, Dataiku/DSS, Tableau, SQL is a plus
- Familiarity with AI/ML and data science approaches
- Ability to translate insights into business actions through storytelling
- Business acumen, preferably in pharma or healthcare
- Project management experience
- Vendor management skills
- Fluent in English (written and spoken)
Personal Qualities
- Enthusiastic team player with good listening skills
- Sound judgment in decision-making
- Self-motivated with realistic yet challenging goals
- Flexible, resilient, and adaptable
- Proactive and collaborative with stakeholders
- Innovative, self-starter, fast learner
Training To Be Delivered
Apprenticeship Standard: Artificial intelligence (AI) data specialist
Training Provider: Cambridge Spark
Delivery mode: Online
Future Prospects
Successful completion opens opportunities for roles such as Integrated Insights & Strategy Manager or Data Science Manager.
Things To Be Considered
Proficiency in Python is required to be considered.
About Pfizer
Pfizer is committed to innovation and sustainability, aiming to improve health and combat climate change through scientific advancements and responsible practices. We value diverse talents and offer a comprehensive apprenticeship scheme that combines work experience, study, and competitive salary, providing an alternative pathway to traditional higher education.
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Commercial Data and Analytics (Level 7) Apprentice - Pfizer employer: NonStop Consulting Ltd
Contact Detail:
NonStop Consulting Ltd 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 Pfizer's values and mission. Understanding their commitment to innovation and sustainability can help you align your answers during the interview, showcasing how your passion for data fits into their broader goals.
✨Tip Number 2
Brush up on your Python skills, as proficiency in this programming language is a must for the role. Consider working on small projects or contributing to open-source initiatives to demonstrate your coding abilities and familiarity with data analysis.
✨Tip Number 3
Prepare for the one-way video interview by practising common interview questions related to data analytics. Use the STAR method (Situation, Task, Action, Result) to structure your responses, ensuring you highlight relevant experiences and problem-solving skills.
✨Tip Number 4
Network with current or former Pfizer employees on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial when tailoring 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 relevant skills and experiences that align with the role of a Data & Analytics Specialist. Emphasise your proficiency in Python and any experience with data analysis or machine learning.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and analytics. Explain why you want to work at Pfizer and how your background makes you a suitable candidate for this apprenticeship.
Highlight Relevant Qualifications: Clearly state your qualifications, especially your GCSE results and any relevant degrees. If you have completed a Level 6 Data Scientist Apprenticeship, mention it but clarify that you are applying for this specific role.
Prepare for the Video Interview: Once you submit your application, prepare for the one-way video interview. Practice answering common interview questions related to data analytics and be ready to discuss your problem-solving skills and experiences.
How to prepare for a job interview at NonStop Consulting Ltd
✨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 Your Python Proficiency
Since proficiency in Python is a requirement, be prepared to discuss your experience with it. You might even want to mention any relevant projects or challenges you've tackled using Python, showcasing your technical skills effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about how you would approach real-world data challenges, and be ready to explain your thought process clearly and logically.
✨Research Pfizer and Its Values
Familiarise yourself with Pfizer's mission and values, especially their commitment to innovation and sustainability. This knowledge will help you align your answers with their goals and show that you're a good cultural fit for the company.
