Global Analytics Lead — ML & Data Strategy

Novo Nordisk A/S; Søborg; Remote; DKK 743,000 - 1,092,000; Full time

Job summary

Novo Nordisk A/S in Søborg, Denmark, is seeking a Global Advanced Analytics Lead who will translate commercial questions into actionable insights using statistical modelling and ML. You will own analytical projects from framing the question to presenting findings to decision makers.

The role blends hands-on analytics with business engagement, collaborating with Product & Portfolio Strategy to sharpen strategies and prepare for launches.

Qualifications

• Master’s degree in data science, statistics, economics, computer science, life sciences, business administration or a related field.
• 5+ years in advanced analytics, applied data science or statistical modelling.
• Strong practical capability in Python or R, and in SQL for data extraction and preparation.
• Experience building and validating statistical and machine learning models, and assessing their performance.

Responsibilities

• Translate business questions into analytical approaches, clarifying the decision, scope and outcomes.
• Develop and refine predictive models and launch uptake analyses to understand opportunities.
• Investigate complex datasets using statistical and ML methods.
• Translate findings into clear recommendations for stakeholders.
• Build reliable, reproducible analyses with transparent assumptions and data limitations.
• Collaborate with BI and IT partners to maintain outputs.
• Propose new analytical questions and share reusable code.

Skills

Hands-on analytics

Python

R

SQL

Statistical modelling

Machine learning

Communication to non-technical

Structured problem-solving

Education

Master’s degree in data science or related field

Tools

Python

R

SQL

Job description

Novo Nordisk A/S in Søborg, Denmark, is seeking a Global Advanced Analytics Lead who will translate commercial questions into actionable insights using statistical modelling and ML. You will own analytical projects from framing the question to presenting findings to decision makers.

The role blends hands-on analytics with business engagement, collaborating with Product & Portfolio Strategy to sharpen strategies and prepare for launches.