Design, own, and evolve core data models and the modelling architecture; including how they connect to pipelines, freshness, and operational reliability in the warehouse.
Collaborate closely with other data professionals; this includes giving actionable feedback in code reviews as well as actively supporting with data modeling
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
Requirements
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).
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.
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). •
Strong business acumen with an understanding of sales, marketing, and product analytics.
Experience with BI-tools and development of BI features
Knowledge of software collaboration using git.
Experience working with GDPR-sensitive data and collaborating with legal experts on compliance assessments.
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:
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.
AI does not screen or decide on candidates.
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.
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.
Benefits
Please note that we do not offer visa relocation sponsorship for the position.
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
Additional details
Mentimeter is an engagement tool with a clear goal in mind.
Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive.
Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments.
We truly believe that you achieve the best results by doing things together.
And that successful leaders need to adopt a curious and collaborative mindset in order to get there.
So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together.
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.