Business Insights Analyst

Description

The Data & AI team sits within the Business & Commercial Operations organization of a global pharmaceutical company and works with data, advanced analytics and AI to turn complex information into insight for strategy and decisions.

The role supports the Oncology therapeutic area and involves working with commercial, digital, medical, market access, finance and operations teams, plus external research and data partners where relevant.

The team combines data, technology and business knowledge to support growth, better decisions and patient outcomes.

Responsibilities

• Produce insights from internal and external data to inform strategic planning and day-to-day operational decisions.
• Advise Oncology cross-functional teams by spotting trends, risks and opportunities.
• Provide integrated insight on marketing effectiveness, brand performance, sales force effectiveness and omnichannel engagement.
• Turn complex analysis into clear recommendations for non-technical audiences through dashboards, reports and presentations.
• Support forecast accuracy and business planning with trend analysis, predictive modeling and forward-looking insight.
• Analyze customer, patient and healthcare pathways to find ways to improve engagement, experience and outcomes.
• Lead or contribute to qualitative and quantitative market research and tracking that deepens customer understanding.
• Evaluate initiatives, share the findings and recommend next steps to stakeholders.

Requirements

• Bachelor's degree in business, economics, statistics, data science or a related field.
• A minimum of 3-5 years of experience in business analysis, data analysis or a similar role.
• Able to work in English at full professional level, both written and spoken.
• Proficiency in French or Dutch is a plus.
• Oncology experience gained in pharmaceutical, healthcare, market research or consulting work is a strong asset.
• Hands-on skill with analysis and visualization tools such as SQL, Power BI, Excel, Qlik Sense or Tableau.
• Statistical analysis knowledge; Python or R is a strong advantage.
• Experience using AI tools such as Copilot or Gemini is a strong advantage.
• Strong analytical ability and attention to detail, with the skill to organize, interpret and communicate complex data accurately.
• Clear communication and presentation skills, with the ability to explain insights to non-technical audiences.
• Experience working with cross-functional teams and handling several stakeholders well.
• Ability to turn data into clear, business-relevant insights and recommendations. Experience in market research, behavioral science and data privacy or governance is an advantage.
• Required skills listed: adaptability, benchmarking, business process re-engineering (BPR), business requirements management, change management, data analysis tools, data-driven decision making, Good Manufacturing Practices (GMP), information technology applications, interpersonal relationships, productivity initiatives, quality control management, quality improvement programs and Six Sigma.

Conditions

Hybrid work arrangement; the posting does not state how many office days are expected.

Regular employee status.

Relocation support is not provided for this role.

The posting does not state whether visa sponsorship is available.

No compensation figures are given in the posting.

The posting gives no details on travel, shift, driving licence or hazardous materials.

Applications close at the end of 11/6/2026, the day before the posting end date of 11/7/2026.

Benefits

• A global environment with room for personal development.
• Benefits depend on job location but are described as very competitive.