Analytics Engineer

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 You Bring 3+ years as an Analytics Engineer, Data Engineer, or Data Analyst Deep dbt experience; you've built and maintained production-grade models others depend on Strong Snowflake or comparable modern platform experience Solid grasp of dimensional modelling, data contracts, and semantic layer design Active user of AI tools in your workflow and a view on how they change the job Genuine interest in generative BI and what it means for how businesses consume data beyond today Strong stakeholder management; you can hold a room, push back constructively, and get buy-in from people who weren't looking for it You spot problems before they're reported and propose solutions before they're requested You make good calls with incomplete information and don't wait to be told what to build next English required; Nordic languages a bonus   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 The construction and installation industry is going through fundamental change in how projects are run, how decisions get made, and how value gets measured. The civic projects Bravida works on: the hospitals, schools, infrastructure, and buildings that society depends on, they deserve to be built and then operated on better data. We take that responsibility seriously. That's what this role is part of.   Process: Intro call with hiring manager, then a practical technical case study followed by meeting the team and discussing the solution. Final step is meeting some of the Operations team and key stakeholders.   You must be eligible to work in Sweden and the EU.

We are super excited to announce that Robin Bodin is now looking for an Analytics Engineer to join our Insights & Activation product area, focused on building the trusted data foundation that powers analytics, predictive models, and future AI capabilities across Voyado Engage. Our mission is to make analytics data reliable, governed, and actionable end to end — from canonical data products and semantic standards to the metrics and insights surfaced to customers. As part of this journey, we’re evolving both our data foundations and analytics products to create a more scalable, transparent, and trustworthy platform. We work in short feedback loops, close collaboration with stakeholders, and a strong belief that progress comes from learning and iteration — not just shipping. ABOUT THE ROLE This is not a traditional BI or dashboarding role. Team Intelligence is responsible for the analytics and reporting capabilities inside Voyado Engage. We’re evolving towards a modern analytics foundation where governed datasets, certified metrics and semantic definitions are treated as shared product assets that power both embedded analytics and future AI-driven experiences. As an Analytics Engineer, you’ll build and own the data products behind our customer-facing analytics. Working hands-on with SQL, Databricks and modern data tooling, you’ll model, validate and improve datasets, metric definitions and data quality processes. A key part of the role is identifying inconsistencies, duplicated logic and unclear ownership, and turning that into scalable and trusted solutions. The role sits at the intersection of analytics, product and engineering. You’ll collaborate closely with Product Managers, UX, analytics engineers and domain teams to ensure our analytics are understandable, consistent and reliable for customers SOME OF THE THINGS YOU'LL BE UP TO: - Designing and building governed data products with clear schemas, quality tests, lineage and ownership - Writing SQL to model, transform and validate structured data - Building and maintaining semantic definitions and certified metrics across analytics surfaces - Collaborating with domain teams to improve data quality and upstream ownership - Contributing to documentation, contracts and standards that make analytics reliable and understandable - Supporting the foundation behind embedded BI and future AI-powered analytics capabilities SO, WHO ARE YOU? We’re looking for someone who combines strong technical ownership with a thoughtful and collaborative mindset. You care deeply about data quality, consistency and building systems that others can trust and scale on top of. You probably enjoy turning ambiguous business questions into clear and reliable metric definitions, and you prefer solving problems at the source rather than patching them downstream. You care about details like semantic clarity, documentation and naming conventions because you understand their long-term impact on both people and systems. At the same time, you enjoy collaborating across engineering, product, UX and customer-facing teams to build analytics experiences that are both technically robust and genuinely useful. BESIDES THE ABOVE, WE BELIEVE YOU'VE GOT: - Strong SQL skills for data exploration, transformation and validation - Experience with dbt or similar tooling for governed data transformations - Experience building or maintaining data products, semantic layers or certified metrics - Understanding of concepts such as lineage, data contracts, canonical entities and quality testing - Familiarity with modern data platforms such as Databricks, Snowflake or BigQuery Experience within retail tech, e-commerce, Databricks or lakehouse-style data platforms is considered a strong plus. WHAT'S IN IT FOR YOU? Voyado wouldn’t be the powerful platform it is without the people behind it. We really care for our Voyadoers and some examples of what we can offer you are: * An engaged team with a knowledge-sharing and friendly culture * Summits where we hang out, workshop, discuss, and have a good time together * Opportunities for personal and professional growth and learning in a dynamic and supportive environment. * Work-life balance – we don't have a long work-hours culture, we value engagement over hours worked. * An office-first but flexible hybrid working policy. SOME OF OUR BENEFITS: * 30 days of vacation, so you can spend time on the things you love * Beneficial bike lease, including e-bikes * Breakfast buffet on Fridays * Inhouse gym only for Voyadoers * A generous gadget-and-phone package (your choice!) * 5000 SEK per year in wellness allowance * Parental leave top-up additional support for new parents * A wellness hour you can use every week ABOUT VOYADO Voyado is the agentic CX suite for retail. We help retailers of all sizes to create exceptional experiences – from first click to lasting loyalty. Our products help retailers understand customers, predict behaviors, and deliver personalized journeys that drive conversion and loyalty. With offices in Sweden, the UK, Germany, and the Netherlands, we work with hundreds of leading retailers like H&M, Stronger, Nudie Jeans, and Power. Voyado is backed by Viking Global Investors, Novax, Verdane, eEquity, and H&M Group. READY TO FIND OUT MORE? Lovely! 🎉 Before one applies it can always feel like you need a better resume, more polish, or just another year of experience, but we say if you think this sounds like a place where you can shine don't hesitate to send in your resume! Making it personal with AI We truly believe you’ll position yourself best for success in the interview process by being yourself with support from AI where it makes sense, later in the process you will even be expected to use AI. But at the end of the day, what matters is meeting you, the person behind the application. There is no such thing as a perfect candidate; we’re all human so please, bring your authentic self! Don’t let AI over polish your CV or answers to the point where we can’t hear your real voice because that’s what we care about the most. VACATION PERIOD! As we are heading out for the vacation period, feedback on your application might take a little longer than usual. Don't hesitate to send in your application, though; we'll do our best in getting back to you as soon as possible! 🌴