Analytics Engineer

Ctrl Digital is a marketing engineering and analytics consultancy. We help companies build the technical foundations they need to understand, use and activate their marketing and customer data.We’re now looking for an Analytics Engineer to join our team.About the RoleThe role sits at the intersection of data engineering, analytics and marketing technology. You’ll work with modern data stacks to bring together data from marketing and digital platforms, model it in the cloud, and make it useful for reporting, analysis, activation and increasingly AI-assisted analytics.You won’t be working on the same data problem every day. Our projects span industries, technologies and use cases, from building marketing data warehouses and semantic layers to activation pipelines and AI-assisted analytics.What You’ll Work WithOur projects typically involve building and developing marketing data infrastructure for clients. Depending on the engagement, you might:Build marketing data warehouses in BigQueryIntegrate data from platforms such as GA4, Google Ads, Meta, CRM and other business systemsTransform and model data using SQL and Dataform/dbtDesign reliable data models, definitions, and semantic layers for reporting, analytics and AIBuild data pipelines and integrations using APIs and ETL toolsMake data available to Power BI, Looker Studio and other BI toolsDevelop solutions for AI-assisted and conversational analyticsBuild pipelines for activation, including offline conversions, audiences and customer value dataWork closely with clients to translate business questions into technical solutionsYou’ll usually work across both longer client retainers and defined projects, often collaborating directly with marketing, analytics and data/IT teams.Who We’re Looking ForWe think you have around 2-4 years of relevant experience in analytics engineering, data analytics, data engineering or a similar role. More importantly, you enjoy understanding how things work, solving problems and learning new technologies.We’d like you to have:Strong SQL skillsExperience working with cloud data warehouses such as BigQuery, Snowflake or similarExperience with dbt, Dataform or another data transformation frameworkA good understanding of data modelling and analytics vExperience working with GitSome experience with Python, APIs or data pipelinesThe ability to communicate technical concepts clearly to non-technical stakeholdersProfessional working proficiency in EnglishExperience with marketing data, GA4, Google Cloud, Power BI, Looker, server-side tracking or activation platforms is useful, but you don’t need to know our entire technology stack when you join. We’re also interested in people experimenting with LLMs, agents and new AI-based ways of working with data. Deep AI expertise isn’t required, but curiosity is.How You SucceedWe’re a consultancy, so technical ability is only part of the job.You should enjoy working directly with clients, asking questions and understanding the problem behind the technical requirement. We value people who take ownership, are comfortable exploring unfamiliar technology and can figure things out without needing everything specified in advance.Technology changes quickly, and learning is part of the job. You don’t need to know our entire stack when you join, but we expect you to be curious, develop your skills and be willing to explore new tools and ways of working. You don’t need to be the most senior person in the room. We’d rather find someone with a strong foundation, good judgement and the ambition to develop quickly.About UsCtrl Digital is a Swedish consultancy specialising in marketing engineering and analytics, with offices in Stockholm, Gothenburg and Malmö. We are part of Havas, one of the world’s largest global communications networks.We work with companies to connect the worlds of marketing, analytics and data engineering, from measurement and server-side tracking to cloud data warehouses, data modelling, activation and AI-assisted analytics.Our consultants work closely with clients and are given significant responsibility early. At the same time, you’ll be surrounded by experienced specialists who can help you develop across analytics, cloud, marketing technology and consulting.We offer:30 days of vacationOccupational pensionPrivate healthcare insuranceWellness allowanceFlexible working arrangementsContinuous learning and certification opportunitiesThe opportunity to work with modern data and AI technology on real client problemsInterested?Send us your CV or LinkedIn profile and a few words about yourself. We’re particularly interested in hearing about something you’ve built, explored or learned recently.