Analytics Engineer

• 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:

1. Introduction interview
2. Competence interview, including a live case. 3. Culture interview
3. References & Offer

What Mentimeter can offerAt 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 MentimeterAt 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 Privacy Policy for more information.