Senior Business Analyst in Slough

Senior Business Analyst in Slough

Slough Full-Time 65000 - 80000 £ / year (est.) Home office (partial)
InfoCepts

At a Glance

  • Tasks: Drive data modernization and AI integration in Pharma operations.
  • Company: Leading Pharma company with a focus on innovation and analytics.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on continuous learning and development.
  • Why this job: Shape the future of Pharma with AI-driven insights and impactful decision-making.
  • Qualifications: 9-11 years as a Business Analyst with strong Pharma experience.

The predicted salary is between 65000 - 80000 £ per year.

Location: London (Hybrid – 2 days a week in office)

Purpose of the Position:

We are looking for a Senior Business Analyst with deep expertise in Commercial Pharma operations and a strong understanding of AI-driven analytics solutions. This role will act as the key liaison between business stakeholders, data engineering teams, and AI/BI solution architects to drive data modernization, intelligent automation, and advanced insights across commercial functions. The candidate will play a strategic role in shaping how AI augments decision-making, operational efficiency, and reporting within the organization.

Key Result Areas and Activities:

  • Business Analysis & Requirement Gathering: Engage with business stakeholders across Sales, Marketing, Market Access, and Patient Services to identify analytical needs, automation opportunities, process gaps and data gaps. Provides subject matter expertise on Commercial Pharma data. Identifies data gaps and defines the target-state business data approach. Translate complex business objectives into clear, structured requirements for AI, BI, and Data Engineering teams. Conduct workshops to gather requirements and understand business challenges.
  • Data and Analytics Solutioning: Work closely with Data Engineering teams on data ingestion, warehouse design, and model readiness for both BI and AI workloads. Participate in the design of semantic layers and feature stores to standardize reusable AI features across use cases. Review and sign off on Power BI dashboards, AI model outputs, and integrated analytics reports.
  • Governance and Change Management: Define and maintain governance frameworks including RACI, SLAs, communication plans, and data quality protocols. Ensure compliance with HIPAA, GDPR, and pharma data regulations. Facilitate UAT, training sessions, and user adoption for new AI-driven tools and reporting workflows.
  • AI and Advanced Analytics Integration: Collaborate with Business and/or Data Science teams to define use cases for forecasting, segmentation, churn prediction, and dynamic targeting. Partner with the Engineering teams to integrate AI-powered insights into BI dashboards. Drive adoption of self-service AI capabilities that empower business users to query, visualize, and derive insights without technical intervention.

Work and Technical Experience:

  • Strong functional knowledge and experience in data and analytics.
  • Strong Pharma Commercials experience.
  • Ability to collaborate with business product owners and users to understand data and analytics requirements for Commercial business areas.
  • Strong understanding of agile methodology and ability to convert business requirements into implementation ready Epics and user stories.
  • Hands on knowledge with data querying, data analysis, data mining, reporting and analytics will be a plus.
  • Excellent verbal and written communication skills.

Tools: Power BI, Snowflake, Oracle DB, SQL, Microsoft office suite.

Must Haves:

  • Strong functional knowledge and experience in data and analytics.
  • Strong Pharma Commercials experience especially with knowledge around Drug Launch for the European Geography.
  • Ability to collaborate with business product owners and users to understand data and analytics requirements for Commercial business areas.
  • Strong understanding of agile methodology and ability to convert business requirements into implementation ready Epics and user stories.
  • Excellent verbal and written communication skills.

Qualifications:

  • Bachelor’s degree in computer science, engineering, or related field (Master’s degree is a plus).
  • Demonstrated continued learning through one or more technical certifications or related methods.
  • 9-11 years of experience as Business Analyst.

Senior Business Analyst in Slough employer: InfoCepts

Join a forward-thinking company in London that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. As a Senior Business Analyst, you will thrive in a culture that prioritises employee growth through continuous learning opportunities and cutting-edge projects in AI-driven analytics within the Commercial Pharma sector. With a commitment to excellence and compliance, this role provides a unique chance to shape the future of data-driven decision-making while enjoying the vibrant atmosphere of one of the world's leading cities.

InfoCepts

Contact Details:

InfoCepts Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Business Analyst in Slough

Tip Number 1

Network like a pro! Reach out to your connections in the pharma and analytics space. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!

Tip Number 2

Prepare for those interviews by practising common questions related to business analysis and AI-driven solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your experience effectively!

Tip Number 3

Showcase your skills with a portfolio! If you’ve worked on relevant projects, create a presentation or document that highlights your achievements in data analytics and AI integration. This can really set you apart from other candidates.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.

We think you need these skills to ace Senior Business Analyst in Slough

Commercial Pharma Operations
AI-driven Analytics Solutions
Business Analysis
Requirement Gathering
Data Engineering Collaboration
Power BI
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the Senior Business Analyst role. Highlight your experience in Commercial Pharma operations and any AI-driven analytics you've worked with. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention specific projects or achievements that relate to the job description.

Showcase Your Communication Skills:Since excellent verbal and written communication skills are a must, make sure your application reflects this. Keep your language clear and concise, and don’t shy away from using industry jargon where appropriate. We love seeing candidates who can communicate effectively!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!

How to prepare for a job interview at InfoCepts

Know Your Pharma Inside Out

Make sure you brush up on your knowledge of Commercial Pharma operations, especially around Drug Launches in Europe. Being able to discuss specific examples and trends will show that you’re not just familiar with the industry but are genuinely passionate about it.

Master the Art of Requirement Gathering

Prepare to demonstrate your skills in translating complex business objectives into clear requirements. Think of examples where you've successfully engaged with stakeholders to identify their needs and how you’ve turned those into actionable insights for data engineering teams.

Showcase Your Technical Skills

Familiarise yourself with tools like Power BI, Snowflake, and SQL. Be ready to discuss how you’ve used these tools in past roles, particularly in data analysis and reporting. If you can share a project where you drove analytics solutions, even better!

Communicate Like a Pro

Since excellent verbal and written communication skills are a must-have, practice articulating your thoughts clearly and concisely. Prepare to explain complex concepts in simple terms, as you’ll need to liaise with both technical teams and business stakeholders.