Analytics Engineer - Build Qasa s data foundation

About Qasa

Qasa is the Nordics’ largest rental marketplace. Every day, tens of thousands of people use our platform to find or rent a home. Our vision is that housing shouldn’t hold anyone back. We aim to make housing easier, safer, and fairer for everyone.

We’re now strengthening our data team to move from being a support function to becoming a true driver of Qasa’s growth. This role isn’t about running isolated analyses or building experimental models in a corner. It’s about making Qasa a more data-native company:

Aligning our metrics and definitions so everyone speaks the same language.

Making our tracking and acquisition data trustworthy.

Embedding data into everyday product, marketing, and finance decisions.

Building self-serve tools that reduce bottlenecks and let everyone work confidently with data.

You’ll be one of the first to shape how Qasa uses data, helping us move from quick fixes and one-off requests to a proactive, consistent, and trusted foundation that scales with the business. We’ve also recently centralized data in Redshift, but much of the modeling, structure, and best practices still remain to be built. This role will be central to shaping that foundation.

What you’ll do

Define and align KPIs: Partner with Product, Marketing, Finance, Support, and Country Managers to agree on consistent metrics and terminology, ensuring everyone speaks the same language.

Lay the foundation for self-serve analytics: Enable teams to answer their own questions with confidence by making data easier to navigate, trust, and use.

Design and maintain data models: Own the layer between raw data and insights. Design and build our core data models from the ground up, establishing a scalable structure between raw data and business insights.

Tell stories with data: Translate data into clear insights that inform product bets, marketing strategies, and financial planning.

Collaborate cross-functionally: Work closely with engineering (to ensure pipelines deliver what’s needed) and with different teams (to embed data into everyday decisions).

Support governance and compliance: Contribute to data governance practices (access policies, GDPR deletions, auditability).

Potentially: Experiment with forecasting, modeling, or ML, and help us bring promising ideas into production.

What you bring

Strong SQL skills and experience modeling data.

Experience designing and maintaining data models that turn raw data into clean, reusable, business-ready datasets.

Ability to define and maintain KPIs and ensure consistent metric definitions across teams.

Solid skills in data analysis and storytelling. You don’t just analyze numbers, you make them meaningful.

Familiarity with BI tools (we mainly use Metabase) and enabling self-serve analytics.

A collaborative mindset: you enjoy working with diffe