Autosøk

Analytics Engineer

Analytics Engineer, Stockholm

Unknown Location

Stillingsbeskrivelse

Analytics Engineer, Stockholm

Bravida is one of the Nordic region's leading installation and service companies covering electrical, HVAC, plumbing, sprinkler, security & fire, and automation across Sweden, Norway, Denmark and Finland with over 12,000 employees and around 300 local branches. Behind that scale sits serious operational complexity: projects, procurement, and finance functions that run on data. We're hiring an experienced Analytics Engineer to own the data models that ties it all together.

The Role

Data modelling is the core of this job. You'll design and own the semantic layer that makes Bravida's operational and financial data trustworthy, consistent, and accessible for reports today and generative BI tomorrow. AI isn't a side interest here; it's central to how we expect this role to operate and where we're taking our analytics capability.

  • Architect and own data models in dbt on Snowflake as the primary deliverable
  • Define and enforce modelling standards, documentation, and data contracts across domains
  • Build and manage pipelines in Dagster
  • Work with AI tooling actively to accelerate your own output and enable smarter self-service for the business
  • Drive our move toward generative analytics, shaping how business users query and interpret data through natural language
  • Work directly with operations, procurement, and finance to model their domains properly
  • Lead analytics data quality and reliability improvements across the stack

The Team

The Data & Analytics team sits inside Operational Excellence, a fast-moving function with a mandate to improve how Bravida runs at every level. That means getting out into the business, building relationships with branch managers and project leads across the Nordics, and making data something people actually pull toward rather than have pushed at them.

We move quickly, we're visible, and we don't accept "this is how we've always done it." If you need a perfectly quiet environment to do your best work, this probably isn't the right fit. If you thrive on direct feedback, short cycles, and seeing your work land in the real world fast, it is.

What We Offer

  • Ownership of a decision engine that matters at real scale
  • A modern stack (Snowflake, dbt, Dagster) with active investment in AI and generative BI
  • Direct access to senior stakeholders across operations, procurement, and finance
  • A fast team with a real mandate, not a support function waiting for tasks
  • Autonomy on your own career and continuous development

Krav

  • You must have 3+ years of experience as an Analytics Engineer, Data Engineer, or Data Analyst.
  • You must possess deep dbt experience with a history of building and maintaining production-grade models.
  • You need strong experience with Snowflake or a comparable modern data platform.
  • You must have a solid grasp of dimensional modelling, data contracts, and semantic layer design.
  • You should be an active user of AI tools in your workflow with a clear view on their impact on the industry.
  • You must be eligible to work in Sweden and the EU.

Ferdigheter

dbtSnowflakeDagsterData ModellingGenerative BIStakeholder ManagementDimensional ModellingAI Tooling

Erfaring

mid-level

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