About this opportunity
Make your mark for patients
UCB is an international biopharmaceutical company primarily engaged in the research, development, and commercialization of pharmaceutical and biotechnological products. It specializes in researching therapeutic solutions for patients suffering from severe diseases, treated by specialists, particularly in the fields of the central nervous system (including epilepsy) and inflammation (including allergies).
The Braine-l'Alleud site specializes in chemical synthesis, development, manufacturing, and packaging of pharmaceutical products.
More information at: www.ucb.com
Within the External Manufacturing Business Excellence team, you will contribute to accelerating the digital transformation and continuous improvement of activities carried out with our external manufacturing partners. This role offers international and cross-functional exposure at the intersection of data, digital transformation, operational excellence, and biopharmaceutical operations.
Position and Responsibilities
Structure, consolidate, and analyze performance data from various sources.
Develop and maintain dashboards and indicators to improve visibility, decision-making, and priority tracking.
Contribute to the harmonization and digitalization of Business Excellence processes, particularly in the areas of performance, risk, quality, and partner engagement.
Participate in identifying use cases for data analytics, automation, and artificial intelligence, and support their prototyping and deployment.
Collaborate with process owners, External Manufacturing, Quality, Supply, IT/Data teams, and other internal stakeholders.
Document the solutions developed and contribute to their adoption by users.
Your Profile
Master’s degree or equivalent in Data Science, Business Analytics, Engineering, Management Information Systems, Industrial Engineering, Continuous Improvement, or a related field.
Initial academic or professional experience in data analysis, Business Intelligence, or process improvement.
Very good command of Excel and PowerPoint; experience with Power BI is highly desirable.
Knowledge of Python, SQL, automation, or artificial intelligence is an asset.
Ability to structure data, produce reliable analyses, and translate results into clear recommendations.
Analytical mindset, curiosity, attention to detail, autonomy, and a service-oriented approach.
Fluent English; French is an asset.
Please note that this program is in partnership with Business France, and we follow the prerequisites required by Business France to carry out a VIE assignment. The main participation prerequisites are as follows:
Be between 18 and 28 years old;
Hold the nationality of a member country of the European Economic Area;
Have not worked or lived in the country where the mission will take place;
Be available to dedicate yourself to the mission full-time;
If you have French nationality or dual nationality, be in compliance with the national service obligations of France (Numéro Identifiant Défense);
Have a clean criminal record.
If you do not meet all these conditions, we will not be able to consider your application.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 883 comparable Data & Digital roles across 80 biopharma companies.
Salary context
276 of 883 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 883 comparable roles
+ 36 more countries
Seniority mix
574 of 883 peers have a known seniority level
Therapeutic area mix
30 of 883 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Open in 2 locations
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.