Analytics Engineer

Key responsibilities: Design, own, and evolve core data models and the modelling architecture; including how they connect to pipelines, freshness, and operational reliability in the warehouse. Empower the organization to use and interpret data. Partner with business and technical stakeholders from problem framing to shipped artefacts: clarify requirements, suggest better approaches when a request would not scale, and drive or co-drive cross-team initiatives that improve how data is used. Collaborate closely with other data professionals; this includes giving actionable feedback in code reviews as well as actively supporting with data modeling Combine subject matter expertise and a high level business understanding to contribute to the direction and strategy for Mentimeter in the realm of data modeling, AI-Analysis, BI-tooling and data activation in GTM-Tooling. Develop, own and maintain data modeling standards and the data development experience Improve how we work at scale: thoughtful automation and AI-assisted engineering (e.g. coding agents and repeatable workflows) with human accountability for correctness and compliance. Maintain and grow how knowledge is surfaced, e.g in semantic models, a data catalog, or documentation We believe you have: Roughly 4-7 years of relevant hands-on experience as an Analytics Engineer, Data Analyst, Data Scientist, BI Analyst, or similar (or equivalent depth if your path is non-linear). Strong SQL and sound judgment in data modelling (grain, reusability, naming, and how metrics should behave). Experience partnering across departments, including leading or co-leading cross-functional work that shipped something others use. Strong business acumen with an understanding of sales, marketing, and product analytics. Ability to map ambiguous stakeholder needs to clear, maintainable models and artefacts. Experience with BI-tools and development of BI features Knowledge of software collaboration using git. Communication in English with both technical and non-technical audiences; interest in helping others grow their data skills. Experience working with GDPR-sensitive data and collaborating with legal experts on compliance assessments. It is beneficial if you have: Hands-on experience with dbt (or similar) Experience with a semantic or metrics layer Experience using AI-assisted coding or coding agents in a disciplined way (reviews, tests, documentation), with clear judgment about automation vs verification for production data work. Professional experience working in an agile environment Not required: Swedish is not required (daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities). A cover letter is not required as part of your application 📍 Location: This is an onsite/hybrid role at Mentimeter HQ in Stockholm . Please note that we do not offer visa relocation sponsorship for the position. 💡Our recruitment process: Introduction interview Competence interview, including a live case. Culture interview References & Offer What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. AI does not screen or decide on candidates. There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page . Review our for more information.