Analytics Engineer

Analytics Engineer

Lovable Labs Sweden AB

TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for self-service analytics. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for: Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Understanding of dimensional modeling, data contracts, and metrics/semantical layers Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc) Strong business acumen and ability to translate domain logic into scalable data structures What you will do: Build and maintain data models, following modular, tested, and version-controlled practices Partner with domain teams to understand business logic and codify it into reusable models and metrics Define and document key metrics and data contracts across domains Collaborate with Data Platform Engineers to optimize query performance and warehouse cost Automate and maintain data documentation, lineage, and governance standards Develop guidelines for analytics development, data modeling and structure conventions Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

Analytics Engineer

Hemnet

Are you a skilled Analytics Engineer with a passion for transforming raw data into high-quality, actionable insights? Join Sweden's largest property portal to design the data solutions that power our business decisions. As the most popular real estate portal in Sweden, Hemnet receives over 40 million visits every month from people looking for their next home. We are a data-heavy organization, and we strive to make data-informed decisions the standard for everything we do. About the role 🍏 As an Analytics Engineer, you will be a key player in our journey to empower the organization to become more data-driven. Sitting within the Analytics team, you will act as a vital bridge between raw data and meaningful business logic. Because this role connects technical infrastructure with business needs, strong communication is essential. By focusing on the "back end" of business intelligence to ensure our data is clean, reliable, and well-modeled, you will play a crucial part in helping Hemnet continuously improve and become better for everyone. What you’ll do 💥 * Build and develop data models, taking responsibility for structuring the data that forms the foundation for analysis, reporting, and future AI solutions. * Conduct analysis and ad-hoc explorations to answer complex business questions, helping stakeholders across Hemnet turn raw data into insights. * Improve our self-service capabilities, enabling more colleagues to find answers independently through robust data architecture. * Occasionally support the development of essential reports and dashboards to ensure data is visualized effectively. Who we think you are 🤩 In order to be successful in this role we believe that you have an educational background with a strong technical focus and a few years of experience working as an Analytics Engineer, Data Analyst or Business Intelligence Developer. As a bridge between technical and business teams, you excel at tailoring your communication and insights for everyone from Sales and Business Development to the leadership group. * Strong SQL and sound judgement in data modelling. * Professional experience with dbt. * Passionate about using your data models to solve real-world business problems alongside your stakeholders. * Experience partnering across departments and strong business acumen. * Excellent written and verbal communication skills in English and Swedish. * Bonus if you have experience in: - Tableau - A semantic or metrics layer - AI-powered self service analytics - Python I am your new manager 👋 My name is Thomas Hanusek. I joined Hemnet about four years ago. Prior to that, I drove analytics for more than 20 years across different companies. My passion at work is really about seeing how Data & analytics can drive product and business development in the best way possible. As a leader, I am a huge fan of seeing how a team can come together and, through their different skills, create magic. My aim is to be supportive and humble, and to create an environment where you feel trusted, challenged, and empowered to grow. A Note on Inclusion 💚 At Hemnet, we believe that diversity in gender, sexual orientation, ability, neurodiversity, cultural background and life experience makes us stronger. We welcome applicants of all identities and backgrounds. If you meet many but not all of the requirements, we encourage you to apply. We value curiosity, a strong sense of purpose and the motivation to learn and grow, alongside your skills and experiences. An Office-First Culture 🙏 Our office in central Stockholm is the true hub of our company culture. We are proudly an office-first team because we deeply value face-to-face collaboration and believe our best work happens when we are together. While we understand the need for occasional flexibility, we strongly prioritize in-person teamwork over remote work. Because our office is the center of our daily operations, it is essential that you are based in or near Stockholm. Please note that we're unable to provide relocation assistance for this opportunity.

Analytics Engineer

Almedia

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. ANALYTICS ENGINEER (€70K – €140K • Offers Equity • Offers Bonus) Join our team as an Analytics Engineer, where you'll ensure our data is clean, accessible, and ready for analysis. As a core member of our analytics team, you’ll ensure our data infrastructure effectively supports self-service analytics, insightful reporting, and business intelligence across the organisation. WHAT YOU’LL DO  🎯 * Design, build, and maintain clean, scalable, and performance-optimised data models using SQL and dbt. * Apply software engineering practices to analytics code, including version control, testing, and continuous integration. * Automate and streamline data validation, testing, and reporting processes. * Take ownership of data analysis for a designated domain, collaborating closely with Product Analysts, Data Scientists, and Business Stakeholders to meet their analytical and reporting needs. * Proactively monitor data integrity, identify issues, and perform root cause analysis. * Maintain comprehensive data documentation and definitions for easy reference and understanding. * Train business users on utilising the data platform and data visualisation tools effectively. WHAT YOU’LL BRING 💡 * 2-4 years of experience as an Analytics Engineer, Data Analyst, or similar role. * Experience in marketing analytics, with proficiency in SQL and Python. * Understanding of data warehousing concepts, data modelling, and performance optimization. * Knowledge of data validation, testing frameworks, and version control best practices (Git). * Familiarity with modern data stacks (dbt, Snowflake/BigQuery/Redshift, Dagster/Airflow) and cloud data platforms (GCP, AWS). * Ability to communicate complex analytical findings clearly and concisely to diverse audiences, influencing data-driven decisions. WHAT MAKES YOU A GREAT FIT 🌟 * Passionate about transforming data into actionable insights. * A detail-oriented problem-solver who excels in a collaborative environment. * Eager to innovate and continuously improve data processes. WHY ALMEDIA? 🎁 * Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success. * Scale With Almedia: Grow alongside a startup that has been profitable from day one. * Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin. * Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.