National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Business Intelligence Manager

Pierre Fabre Pharmaceuticals
Reading
4 days ago
Create job alert

Business Intelligence Manager page is loaded Business Intelligence Manager Apply locations UK - Reading time type Full time posted on Posted 2 Days Ago job requisition id JR109237

Who we are ?

A unique business, Pierre Fabre in the UK is a pharmaceutical and dermo cosmetics company, operating within oncology and skincare.
Part of a much larger French-owned Group, and owned and governed by a Foundation, we are committed to improving the lives of others and take great pride in the heritage and values of the organisation.
Your mission

Business Intelligence Manager
The Business intelligence Manager will be responsible for managing the design, development, and implementation of BI solutions. This role involves working closely with all functions to understand their business insight needs, ensuring data source integrity, and delivering actionable insights that support business objectives. Further, to partner with marketing and medical functions to complement their planning process.
Roles & Responsibilities
Develop and implement BI strategies that align with business goals
Collaborate with key functions and contribute to strategy and plan development through business insights
Proactive and innovative approach to enrich market insights
Ensure data accuracy and integrity across all BI solutions and business functions
Conduct data analysis to identify trends, patterns, and insights
Develop and enforce data governance and security policies
Design, develop, and maintain appropriate dashboards, and reports
Lead on all planning of revenue and supply forecast
Evaluate potential of new assets, developing a recommendation analysis and report
In collaboration with brand teams, inform and support the omnichannel customer engagement plan
Support brand teams with their digital marketing strategy
Lead on SFE with sales managers and BUD. Optimising use of OCE and effective use of Tableau reports
Manage projects, including timelines, resources, and deliverables
Design, develop and manage PF UK & IRE microsite
Provide training and support to end-users on BI tools and reports
Act as the AI Ambassador for the organization, empowering and guiding teams to seamlessly integrate AI technologies into their daily business operations
The Ideal Candidate
Science or Business degree
Experience in the pharmaceutical or dermo-cosmetic industries within multinational companies, with a preference for those who have experience in both sectors
Demonstratable knowledge of the external market and customer environment and the UK pharmaceutical industry / Consumer market
Good knowledge of marketing, business and compliance processes, incl. ABPI Code of Practice
Highly numerate and analytic skills with strong strategic vision
Strong business and commercial acumen
A strong drive to understand the information driving sales activity
Excellent communication skills, able to convey complex or data driven information to less numerate or analytic colleagues
Advanced use of MS Office
Experience of development on analytics in Power BI and Tableau
Stock management skills
Good cross functional skills within the UK as well as Global teams to ensure execution of key projects
The Business intelligence Manager will also:
Work to the highest ethical standards, as required by the company but also all applicable local and international laws and regulations. This includes but is not limited to the ABPI/IPHA Codes of Practice, Pierre Fabre Code of Ethics and Pierre Fabre SOPs.
Maintain the professional image of Pierre Fabre Ltd in all dealings with internal and external stakeholders.
Contribute to the development of processes, systems and working practices for Pierre Fabre Ltd both locally and internationally.
The postholder will comply with timelines and procedures for reporting adverse events and must attend safety and PV update training as required.
Who you are ?

We are convinced that diversity is a source of fulfillment, social balance and complementarity for our employees, which is why our offers are open to all, without restriction.

About us

With nearly 10,000 employees worldwide, we design and develop innovative solutions that contribute to the well-being of all, from health to beauty, combining the best of medical and naturalness.
We achieve this by cooperating with health care professionals, our long-standing trusted partners, by drawing relentless inspiration from nature; and by placing pharmaceutical ethics at the very heart of our operations.
We focus our research and manufacturing activities in South-West France where our roots lie.
We are proud to belong to a public-interest organization, the Pierre Fabre Foundation, which is dedicated to improving access to high-quality health care and medication in the poorest countries.

#J-18808-Ljbffr

Related Jobs

View all jobs

Business Intelligence Manager

Business Intelligence Manager

Business Intelligence Manager

Business Intelligence Manager

Business Intelligence Manager

Business Intelligence Manager

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.