Data Analyst

Location: Braine-l'Alleud (hybrid working model- 2 days on site Tuesday & Thursday)
Engagement: Freelance engagement starting ASAP until November 2026

Overview

We are partnered with a leading pharmaceutical client on a high-priority data quality programme within the supply chain domain. You will join a small, high-impact team focused on implementing and scaling data quality rules across critical datasets. This is a hands‑on, delivery‑focused role within a fast‑paced programme, where you will translate business requirements into technical solutions and support continuous data quality improvements.

Requirements

• 3–5 years’ experience in data management, data analysis, or a similar role (flexibility for strong junior profiles)
• Proven experience within the pharmaceutical industry (essential)
• Strong understanding of data quality and data management principles
• Ability to translate business requirements into technical rules
• Fluency in French and English (mandatory)

Hard Skills

• Strong SQL skills (key requirement)
• Experience developing and testing data quality rules
• Data analysis and dataset profiling
• Reporting and visualisation experience (Power BI / Fabric preferred)
• Familiarity with data quality tools (e.g. Collibra – desirable)
• Python (nice to have)
• Understanding of supply chain data / pharma lifecycle (preferred)

Soft Skills

• High attention to detail and accuracy
• Comfortable working on repetitive, operational tasks
• Strong communication skills with both business and technical stakeholders
• Delivery-focused with a proactive mindset
• Ability to thrive in a small, fast‑paced team environment

Qualifications

• Degree in Computer Science, Data, Engineering, or similar (preferred)
• Experience in GxP / regulated environments is advantageous