Analytics Engineer

Senior / Mid-Level Analytics EngineerBased in StockholmSalary - Flexible but ideally landing between 50-65K SEK, dependent on experience.We’re working with a fast-growing, product-led company operating in the consumer space, building a modern data platform to power decision-making across the entire business. They’re now looking for an Analytics Engineer to play a key role in shaping how data is defined, modelled, and used - partnering closely with stakeholders across product, commercial, and operations.Why this role might be of interest?This isn’t a traditional data engineering role focused on pipelines or infrastructure. Instead, you’ll sit at the heart of the business, owning how data is transformed into meaningful, trusted datasets that teams rely on every day.You’ll have real influence over:How core business metrics are definedHow data is structured and modelled across the companyHow stakeholders interact with and trust dataIt’s a highly collaborative role where strong communication and curiosity are just as important as technical ability.What will you be doing?Transform raw data into clean, well-structured datasets for analytics and reportingDesign and maintain scalable, well-documented data modelsWork closely with non-technical stakeholders to understand business needs and translate them into data solutionsIdentify inconsistencies or gaps in data and proactively improve data qualityContribute to best practices around analytics engineering and data transformationTech environment:Strong focus on SQL and data transformationDBT as a core tool for modelling and transformationCloud data warehouse environment (e.g. Snowflake or similar)Exposure to orchestration tools like Airflow is beneficialWhat we are looking for?Experience working with data in an analytics-focused role (analytics engineer, data analyst, or similar)Strong SQL skills and a passion for working with dataA genuine interest in data modelling and structuring data for business useDetail-oriented mindset with a focus on data quality and consistencyComfortable working cross-functionally with a variety of stakeholdersClear and thoughtful communication styleNice to have...Experience with DBTSome experience with PythonFamiliarity with modern data stack toolsWho does this suit?This role is ideal for someone who enjoys being close to the business and wants to have a direct impact on how data is understood and used - rather than focusing purely on backend infrastructure.It could suit:A data analyst looking to move further upstream into data modellingAn analytics engineer looking for more ownership and stakeholder interactionIf you're interested in a role where you can shape the way a company thinks about data - without being confined to pure engineering - this is a genuinely exciting opportunity to make an impact.