Amer Sports ( is a sporting goods company with internationally recognised brands including Salomon, Wilson, Atomic, Arc’teryx, and Peak Performance. The company’s technically-advanced sports equipment, footwear and apparel improve performance and increase the enjoyment of sports and outdoor activities. The Group’s business is balanced by its broad portfolio of sports and products and a presence in all major markets.

POSITION TITLE: Global Distribution & Transportation Data Analytics Manager (m/f/d)
LOCATION: preferred location Altenmarkt/Austria or Garching near Munich / Germany, possible also in Überherrn/Germany or Annecy/France

We are creating a new challenging role to drive Data Analytics within our Distribution and Transportation global team! This key function will guide strategic decisions to enable data driven and fact-based decision making to support the development of our brands in the Sporting Goods industry.

We are looking for a Data Analytics Manager to:
• Define, execute and continuously develop the global data analytics strategy.
• Increase data transparency regarding performance, costs and environmental impacts.
• Drive all related reporting requests with IT.
• Implement and govern full automated performance monitoring.


• Define, implement and constantly improve standardized reports, dashboards and KPIs.
• Provide full data transparency to the global organization and its internal customers.
• Drive innovation and digitalization by implementing new technologies and predictive analytics solutions.
• Communicate analytic findings through visualization techniques to foster a data-driven culture.
• Train key- and end user.
• Own data management and reporting tools.
• Manage a team member remotely (located in Europe).
• Drive testing of reports, data quality control, data modelling.
• Closely collaborate with IT teams to improve data quality.


To be successful in this role, you are:
• Passionate for dealing with a high complexity of data sources, processes and stakeholders.
• Excellent in Analytical thinking/Data mining, striking the right balance of focus between technical mindset and business orientation.
• Structured and organized, with a problem-solving approach.
• Able to adapt to changes in a multicultural environment, with good communication skills.
• Flexible in working time to cope with different time zones.

A solid statistical background is a prerequisite.
Command of SAP (MM, SD) and SAP BI, SAP Analytics Cloud, SAP Analytics for MS Office is mandatory. Knowledge of logistics and transportation processes is a plus.
Command of Alteryx, PowerBI, Qlik, SQL, R and Python is a plus.


Minimum 5 years of relevant professional experience in Analytics, preferably in Supply Chain, Logistics/Warehousing or Transport Operations.  Proven experience in translating business requirements into well-defined analytics proposals.
• Bachelor or Master’s degree (in Supply Chain/Logistics or Business Administration or Engineering, Statistics or Data Science)


• An interesting role in an exciting industry
• Career progression and training opportunities
• The opportunity for independent and self-reliant work
• A friendly and vibrant working environment in a dynamic and international team
• Possibility to work from home 2 days a week

Please submit your application online.
When making the application, please state your salary expectation related to this role.