AM
Service:
Ambu
Publiée le
28/07/2026
Contrat
Freelance · Inconnue
Localisation
, , ,
Taille équipe
Inconnue emp.
Rémunération
Inconnue
Missions clés
Promouvoir l'innovation dans le domaine de la santé
Profil recherché
Bac +8 (Doctorat) · 0-1 ans d'expérience · Curiosité · Adaptabilité
Outils & compétences
SQL, Python
Le poste en détail
You control your data
Ambu uses cookies on Ambu websites but will not collect any of your personal data (such as your IP address or other identification factors) as it is anonymized. Accordingly, Ambu will not be able to see where you come from or where you are going on the internet after you leave our websites site. We do not sell or otherwise disclose information about how our users navigate and use our website. We do not sell or disclose information about your purchase history to third parties. You can read more about Ambu’s use of cookies in our cookie policy on Ambu websites.
By clicking 'Accept all' you consent to all these purposes. You can also choose to indicate what purposes you will consent to using the check boxes below, then press 'Save Settings'. You can always withdraw your consent by pressing the small icon in the lower left corner of the page.
Read more about cookies
Google privacy policy
Select all
Strictly necessary
Strictly necessary cookies help make a website navigable by activating basic functions such as page navigation and access to secure website areas. Without these cookies, the website would not be able to work properly.
Functional
Functional cookies make it possible to save information that changes the way the website appears or acts. For instance your preferred language or region.
Statistical
Statistical cookies help the website owner understand how visitors interact with the website by collecting and reporting information.
Marketing
Marketing cookies are used to track visitors across websites. The intention is to display ads that are relevant and interesting to the individual user and thus more valuable for publishers and third-party advertisers.
Unclassified
We are in the process of classifying unclassified cookies together with the providers of the individual cookies.
DECLINE ALL
SAVE SETTINGS
ACCEPT ALL
powered by:
Cookie Information
Advanced Analytics Specialist, Supply Chain Intelligence
, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies.
Modify Cookie Preferences
Reject All Cookies Accept All Cookies
About us
Jobs
Our People
Hiring process
Values
Language
View profile
Job Description
Job Alerts Link
Apply now
open/close
Print local
Share on Twitter
Share on LinkedIn
Send as email
Advanced Analytics Specialist, Supply Chain Intelligence
City: Ballerup
Country/Region: Denmark
State:
Business Area: Supply Chain
Department: Global Supply Chain
Employment Type: Full-time
Req ID: 10298
Are you passionate about driving high-impact projects in a global supply chain? Do you want to play a key role in delivering transformational initiatives that shape how Ambu scales, operates, and delivers value to patients worldwide?
Ambu is transforming – and this is your opportunity to shape how intelligence drives our supply chain.
We have recently evolved our analytics function into a Supply Chain Intelligence team within our Global Supply Chain organization, and we are seeking an Advanced Analytics Specialist to join us. The team’s ambition is clear: moving from describing what happened to knowing what to do next. You will play a central role in delivering this journey; building predictive and prescriptive models, enabling what-if scenarios and decision support, and strengthening the data foundation that underpins it all; while helping build a data-driven culture across the global supply chain.
At Ambu, we are on an ambitious growth journey - scaling our operations and capabilities to meet the rising global demand for our innovative medical solutions. As part of this journey, you will join a highly motivated team that values initiative, impact, and collaboration; and you will have a front-row seat in maturing how data and intelligence power our global supply chain.
The role
As an Advanced Analytics Specialist, your primary responsibility is to design, build, and deploy analytics solutions that move our global supply chain from descriptive dashboards to predictive and prescriptive intelligence. You will work across our five focus areas: data foundation, reporting & visibility, advanced analytics, decision support, and analytics enablement; with the greatest emphasis on advanced analytics and decision support.
This is a hands-on role where technical depth meets business-centric problem-solving. Working closely with the Advanced Analytics Manager, GSC, you will partner with stakeholders across corporate functions and manufacturing sites – bridging business and IT – to ensure that data becomes a strategic asset embedded in how Ambu’s supply chain makes decisions.
Key responsibilities
Advanced analytics & decision support (primary focus)
Develop, deploy, and maintain predictive and prescriptive models (e.g., forecasting, anomaly detection, optimization) that address concrete supply chain challenges across planning, operations, and distribution
Build what-if scenario and simulation capabilities that give leadership actionable decision support; not just reporting
Translate ambiguous business questions into structured analytical problems, and analytical results into clear recommendations for stakeholders and leadership
Automate recurring analyses and workflows to free capacity across the organization for higher-value work
Take ownership of solutions end-to-end: from problem framing and data preparation to model deployment in collaboration with back-end IT, monitoring, and adoption
Data foundation, visibility & analytics enablement
Contribute to advancing our data foundation toward a single source of truth; improving data quality, governance, and data models in collaboration with IT
Develop and enhance Power BI dashboards and standard GSC reporting where they create genuine visibility and value
Support upskilling across the global supply chain through training, documentation, and self-service enablement; helping embed a data-driven culture
Stay curious about new technologies (AI, machine learning, modern analytics tooling) and proactively bring relevant opportunities into the team
Suggested candidate profile
Skills and experience can be gained in many ways, and we understand that the best fit for the role cannot be described on paper. You are, however, likely to succeed in this position if you have:
2–5 years of experience in analytics, data science, or business intelligence roles. You may have gained your experience in a consultancy, an industrial company, or a data-driven scale-up
Strong hands-on skills in SQL and Python (or R) for data preparation, analysis, and modelling
Solid experience with Power BI – including DAX and data modelling – and an eye for visualizations that drive decisions
Experience building predictive models (e.g., forecasting or machine learning) and bringing at least one into real operational use; you know the difference between a notebook and a solution people rely on
Strong business translation skills; you can turn a vague business question into an analytical approach, and an analytical result into a clear recommendation
A working understanding of supply chain processes (e.g., planning, manufacturing, logistics, or distribution); you don't need to be a supply chain expert, but you can speak the language of operations and understand the physical flows behind the data
Excellent stakeholder engagement and communication skills; you build trust quickly and collaborate effectively across functions and levels
A proactive, structured and independent way of working: you thrive in a maturing environment where you help build the way, not just follow it
It is an advantage if you have experience with the following:
Deeper experience within supply chain planning, S&OP, or distribution analytics
ERP data (e.g., Infor), cloud data platforms (e.g., Azure, Fabric), or optimization and simulation techniques
Experience in integrating new data (e.g., through API/EDI) into database and semantic models
Experience in training or upskilling non-technical colleagues
Exposure to a GxP-regulated industry
Please note that due to the upcoming summer holiday period, the recruitment process may take slightly longer than usual. We expect to begin the interview process at the beginning of August.
Ambu – a visionary and international workplace where your efforts matter
Ambu is a company that expands rapidly and has ambitious growth targets. We meet these targets through interdisciplinary teamwork between motivated and highly skilled employees. Your contributions and efforts are crucial to our success and by joining us you will get the opportunity to work in an international head office with an informal working environment.
We offer great opportunities for personal development. Furthermore, we offer a wide range of professional, social and financial employee benefits in addition to exciting job challenges and continuous professional and personal development.
About Ambu
Ambu has been bringing the solutions of the future to life since 1937. Today, millions of patients and healthcare professionals worldwide depend on the efficiency, safety and performance of our single-use endoscopy, anaesthesia, and patient monitoring solutions. We continuously look to the future with a commitment to deliver innovative quality products that have a positive impact on patient care and the work of healthcare professionals. Headquartered near Copenhagen in Denmark, Ambu employs approximately 4,500 people in Europe, North America and the Asia Pacific.
For more information, please visit ambu.com or follow us on LinkedIn.
Apply now
SHORTCUTS
See all products
See all clinical evidence
Find distributors
Ambu addresses
Contact us
Research Support
SHORTCUTS
Financial News
Job openings
SOCIAL MEDIA
Opens In A New Tab.
Opens In A New Tab.
Opens In A New Tab.