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Senior Analytics Engineer Semantic Models

Nordic Investin Group Aktiebolag

Stockholm
Data/IT
Publié le 12 novembre 2026

Description du poste

Nordic Investin has been asked to find a Senior Analytics Engineer Semantic Models for one of our partner companies. You want technical choices, delivery and production behaviour to reinforce each other, even when the constraints are difficult. The partner is strengthening its capability in trusted metrics and reusable semantic models for self-service analysis. You will connect SQL, dbt and dimensional modelling while ensuring that semantic layers and testing receive appropriate discipline. The aim is practical progress that colleagues can use, leaders can evaluate and the organisation can sustain. The environment rewards early questions, visible trade-offs and engineering discipline. Security and operability belong in the design. How you will work You will work with product, architecture, security, operations and domain colleagues. The partner values short feedback loops, evidence from real systems and direct communication. This role calls for independent judgement and the ability to raise the quality around you. You are expected to make trade-offs visible, recognise when a decision needs wider expertise and move work forward without creating unnecessary process. What you will do Own the practical direction for trusted metrics and reusable semantic models for self-service analysis. Translate goals and constraints into a clear approach for SQL and dbt. Establish useful standards, routines or decision artefacts around dimensional modelling. Coordinate stakeholders and dependencies affecting semantic layers. Use evidence and measurable outcomes to improve testing. Strengthen knowledge sharing and sustainable ownership through BI governance. What you will bring Relevant experience delivering trusted metrics and reusable semantic models for self-service analysis in a demanding environment. Strong working knowledge of SQL and dbt. Practical experience applying dimensional modelling and semantic layers. Ability to assess priorities, risks and trade-offs involving testing.