As an Analytics Engineer in the Analytics Foundation team, you help the whole company use data with confidence. You sit in a small team with real ownership: we shape how analytics engineering is done here, not only what gets built. You will make architectural decisions for data modelling and set the bar for quality, maintainability, and how we work. This is not a role where you only implement models from a backlog of “orders”; you partner with the business and with technical teams, surface trade-offs when needed, and help prioritise work that compounds.

We spend most of our time on larger initiatives that improve the platform and how people use data, rather than reacting to a constant stream of ad-hoc questions. The team has a high degree of autonomy over its agenda, little firefighting, and we have invested for years in automating repetitive work so we can focus on impact. You will work hands-on with modern data tooling and with AI-assisted workflows, including coding agents and agent-style automation where they genuinely speed up design, review, and deliver, while staying responsible for correctness, governance, and clarity for stakeholders.

You will develop and maintain core models, quality practices, and governance; support the warehouse and pipelines; and help teams get the most from BI and GTM tooling. Tools in our stack include Snowflake, dbt core, Hex, Prefect, Fivetran, and Hightouch (among others).

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:

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

Are you passionate about leveraging data to drive business impact and take analytics to the next level? Join Mentimeter as our Data Analyst, where you will set new standards for our analytics craft within the Data & Analytics (DNA) team and play a pivotal role in advancing our analytics capabilities to drive impactful, data-informed strategies for our SaaS-based business. Data is not only central, but crucial, to how Mentimeter will reach success.

At Mentimeter, the Data & Analytics team is on a mission to catalyse our company strategy and drive innovation, growth and impact throughout our company and user journey by using data. We work at the intersection of analytics, data science, and business to deliver actionable insights and solutions that enable better decisions across departments, including Product, Marketing, Sales, and Revenue Operations. Your contributions will directly influence key business outcomes such as customer retention, engagement, and expansion.

In this role, you’ll collaborate with and be supported by cross-functional teams of data scientists, analytics engineers, user researchers, product managers and revenue leaders who are passionate about Mentimeter’s mission and using data to achieve it.

What you’ll do

• Partner with senior leaders and stakeholders to define key questions, success metrics, and analytical approaches that enable strategic decisions.
• Deliver high-impact analyses and decision support that connect insights across our functions and company.
• Be a key part of our Analytics team to align priorities and ensure solutions are relevant and impactful.
• Collaborate closely with Analytics Engineering and other close teams to enable the business to proactively act on data and create business impact.
• Elevate the analytics craft by setting new standards, implementing innovative approaches and best practices.
• Act as a trusted thought partner and mentor to analysts and stakeholders alike, raising analytical maturity across the organization.
• Translate complex business questions and analytical findings into compelling narratives and visualizations that resonate with diverse audiences.

We believe you have

• A minimum of 5 years of relevant work experience.
• Exceptional communication skills, with the ability to convey complex concepts through clear narratives and visualizations.
• Strong business acumen and experience applying analytics within a domain such as product, sales or marketing.
• Proven expertise in analytics and data exploration, with proficiency in tools such as SQL and BI/visualization platforms.
• A builder mindset and interest to create analysis and systems that scale, leveraging automation, generative AI, and data to drive Mentimeter’s growth and efficiency.
• Comfort working with analytics engineering practices and collaborating with data engineers on data models and pipelines.
• A track record of delivering high-quality, actionable insights aligned with business objectives.
• Experience partnering closely with senior stakeholders and leadership teams.

Nice to have

• Familiarity with modern data tools (e.g. Looker, Hex, Snowflake).
• Experience applying AI in analytical workflows, such as setting up AI agents or automation to accelerate analysis, insight generation, and decision support.
• Experience working within a SaaS environment, with a strong understanding of the unique business challenges and opportunities it presents.

Not required

• Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities)