Analytics Engineer at PostNord, Stockholm - Job Opening

Join PostNord in Stockholm as an Analytics Engineer and help build the future of Data & Analytics across Sweden. What happens when millions of parcels, customer interactions and business decisions generate data every day? At PostNord, we´re building the capabilities needed to turn that data into insights, better decisions and practical AI applications. As an Analytics Engineer, you´ll join a newly established Data & Analytics team with a clear mission: help make data a natural part of how the business operates and evolves.You´ll work closely with stakeholders across the organisation, develop data products from the ground up and create solutions that make data more accessible, reliable and actionable. With a modern analytics platform and strong organisational support, you´ll have the opportunity to influence both technical solutions and the way data is used across PostNord Sweden.

• Developing data products, analytics solutions and AI-driven capabilities together with business stakeholders
• Enabling analysts and business users to work more independently with data, reporting and analytical tools
• Improving data flows and defining requirements for integrations from new data sources to ensure high data quality
• Driving and contributing to initiatives that strengthen PostNord´s data-driven capabilities

• Strong experience working closely with business stakeholders and translating requirements into data solutions
• Solid knowledge of data modelling methodologies such as Kimball, Data Vault and Medallion architectures
• Proficiency in SQL and Python
• Experience with Power BI, including DAX, Power Query and semantic models
• Hands-on experience with cloud platforms such as Azure, Microsoft Fabric or Databricks
• Familiarity with modern development practices, including Git, CI/CD pipelines and database security
• A relevant degree in Computer Science, Information Systems, Business Intelligence or a related field

• Work in a varied role that combines hands-on development with strategic initiatives across different parts of the business
• Influence how data is used and how solutions are designed and developed
• Help make data and AI a natural part of everyday decision-making
• Explore new technologies and ways of working in an environment that encourages innovation