
Bravida Sverige AB · Stockholm
Analytics Engineer, Stockholm Bravida is one of the Nordic region's leading installation and service companies covering electrical, HVAC, plumbing, sprinkler, s...
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.
Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are looking for an Analytics Engineer to join the team in Stockholm. About the Team We are proud of our ability to combine technical expertise with sound business sense. This translates to solutions that are not only effective in addressing current challenges but also sustainable long term. Our team is composed of Analytics Engineers and Data Engineers, fostering a collaborative environment that enables us to manage data end to end – from optimizing data pipelines to developing user-friendly models for analysis. Our technology stack includes BigQuery (SQL), Looker, dbt™, and Google Cloud Platform, with opportunities to evaluate and introduce new technologies as we scale. About the Role As an Analytics Engineer, you'll work with developing data capabilities that power decisions across our global organization. You'll have significant technical and organizational impact, driving both immediate solutions and long-term strategic initiatives. Examples of responsibilities: * Develop data transformation steps and build a strong data modeling foundation for enabling self-service analytics across the company. * Build and maintain trusting, working relationships with business partners across domains and discover high-impact opportunities to enable self-service analytics in our semantic layer. * Strategically plan and deliver meaningful projects to increase data literacy at Storytel. * Lead the resolution of critical data issues, establishing monitoring systems and best practices to prevent future problems and improve data reliability. * Collaborate with data practitioners to understand their needs and requirements, breaking down complicated technical concepts to fit the audience. * Drive adoption of technical best practices across the data team, mentoring others and bringing in industry innovations that improve how we work. We believe that you have * Experience with creating and maintaining semantic layers. * Experience in working with data (BI/Analytics/Data Engineering) specializing within Analytics Engineering. * Deep expertise in SQL and data modeling and extensive experience with modern data stack technologies (e.g., dbt™, Looker, BigQuery, or equivalent tools). * The ability to consistently deliver performant, accurate, and scalable solutions. * Experience mentoring junior engineers and driving team-wide technical improvements. * Proven ability to lead complex data projects, solve problems independently, and proactively improve products. * Excellent communication skills with the ability to explain complex technical concepts to various audiences. * The ability to thrive in a feedback culture and constantly strive to improve your own skills and knowledge. Bonus if you experience * Working with Python. * With data governance and access management. * With different data modeling schemas. * Working with international teams and global data operations. JOIN A WORLD OF STORIES At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you’re all set. Does this sound like you? If you feel like Storytel is a place where you could thrive, please submit your application in English and we will contact you as soon as possible.
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! 🌴
Borgo bygger ett datadrivet bolag och söker nu en Analytics Engineer med fokus på analys, modellering och affärsinsikter. Här får du arbeta nära verksamheten och skapa dataprodukter som faktiskt används och påverkar. Om rollen Du blir en nyckelperson i att göra data tillgänglig, begriplig och värdeskapande. Du kommer bland annat att: * Äga och utveckla dbt-lagret (modellering, tester, dokumentation) * Bygga analytiska datamodeller och semantiska lager * Skapa dashboards och rapporter i Power BI * Arbeta nära stakeholders och omvandla behov till lösningar * Säkerställa tydliga definitioner och hög datakvalitet * Stötta organisationen i ett mer datadrivet arbetssätt Du arbetar i skärningspunkten mellan data, analys och affär. Du rapporterar till Head of Data och arbetar nära både tekniska och affärsnära funktioner – mot interna team, outsourcingpartners och förmedlare av bolån Vi söker dig som * Har god erfarenhet av dbt, SQL och datamodellering * Har arbetat med BI-verktyg, gärna Power BI * Är van att arbeta nära verksamheten och stakeholders * Har erfarenhet av att ta data från modell till insikt Meriterande * Erfarenhet av Snowflake eller moderna dataplattformar * Erfarenhet från bank/finans eller reglerad miljö * Erfarenhet av data governance * Erfarenhet av att driva datadrivet arbetssätt i organisationer Som person är du pedagogisk och kan förklara data på ett enkelt sätt. Du är proaktiv och kommer med konkreta rekommendationer, har stark affärsförståelse och tänker värde först. Du trivs i dialoger med stakeholders och arbetar självgående. Varför Borgo? * Bygg något från grunden – inte legacy * Modern datastack * Snabba beslutsvägar och stort mandat * Direkt koppling mellan ditt arbete och affärsresultat * En unik möjlighet att vara med och forma ett datadrivet bolag På Borgo är ingen dag den andra lik. Du kommer att påverka på riktigt – både hur de arbetar med data idag och hur de bygger för framtiden. Om Amendo Amendo har arbetat med framtidens kompetens sedan 2001 och är landets ledande konsult- och rekryteringsföretag inom ekonomi, bank, finans, försäkring, IT och tech. Vi hjälper företag att växa och människor att utvecklas. Vi är din trygga och engagerade kompetenspartner. Följ oss gärna på Linkedin, Instagram och Facebook. Frågor och kontakt I denna rekrytering samarbetar Borgo med Amendo. Vid frågor om tjänsten är du välkommen att kontakta Business Area Manager Johanna Hallenberg på johanna.hallenberg@amendo.se. Då vi träffar kandidater löpande är du varmt välkommen att söka tjänsten så snart som möjligt. Vi ser fram emot din ansökan! #LI-JH1 #IT