AXIS COMMUNICATIONS AKTIEBOLAG

Manager Data & Analytics - Supply Chain and Operations, Lund

AXIS COMMUNICATIONS AKTIEBOLAG
SE Lund, Skåne län
Onsite 2026-07-02
Estimated salary · Lund
~ SEK 572,400 - SEK 800,400
iampro estimate — the employer published no figure
Estimated net pay
SEK 37,053 - SEK 47,620
/month · 22% withheld
after tax & contributions · on the estimated salary · Individual taxation — marital status and dependents do not affect it

Job description

We are looking for a Manager of Data & Analytics to lead the next generation of data and analytics capabilities within Global Operations, as we transform our Operations and Supply Chain to support Axis' future growth. In this role, you will turn data into real business impact-shaping insights, decisions, and AI-enabled capabilities while building a strong, future-ready data foundation for the organization. You will lead a talented team and play a key role in enabling how Global Operations uses data today and in the future. Get to know Operations Development - and your future team Operations is responsible for the supply and distribution of Axis products, acting as the vital link between R&D and our global market. Based in Lund, we are over 500 people interacting with a worldwide network of partners, suppliers, and customers. Our work covers the entire end-to-end supply chain, including industrialization, purchasing, production, and logistics. Within Operations Development, our team of 30 focuses on long-term, strategic transformation. We drive cross-functional change management and digital innovation to ensure our global supply chain is optimized for future growth. A key pillar of this organization is the Data & Analytics team. The team delivers analytics solutions across all Global Operations functions, with a strong focus on creating business value through insights and decision support. While Qlik Sense and Power BI are key platforms, the team also develops advanced analytics solutions using machine learning, generative AI, and a broad range of modern technologies. Beyond analytics, the team plays a central role in developing, maintaining, and continuously improving our transformed data in the enterprise data warehouse. We are on an exciting journey to build a future-ready data foundation by driving our data strategy, including AI-ready data enabled through semantic models. The team also leads the Master Data Management (MDM) governance model across Global Ope