Senior Analytics Engineer

Rotterdam, Netherlands

Unverified relocation package

About Housing Anywhere

We change the way people find accommodation around the world. Housing Anywhere is a housing platform where people can rent out rooms to international students. It originally started as a platform where outgoing exchange students can rent out their rooms when they go abroad. Incoming exchange students can rent these rooms. Nowadays, it's a global platform where demand & supply of rooms for international students meet each other.

Position

Our mission

Rent Easy, Live Free.

We are empowering people to live wherever and however they choose. To find comfort and peace of mind on the other side of the world or the other side of town. All while feeling confident and totally at ease, whatever their adventure might involve. We are doing it by creating a new standard of renting. Safe. Harmonious. More options. Less hassle. With the help of our trusted networks of landlords and partners.

Our Values

Ownership
We are Enablers
We are Changemakers
We are Connectors

The team

This role will be part of the Analytics Engineering team, which is part of the Data Science & Engineering organisation. This organisation also consists of Data Engineering and Data Science teams. The Analytics Engineering team has the mandate to democratise access to insights by building Data Models in our Enterprise Data Warehouse.

Our Stack

At HousingAnywhere, our data warehouse is powered by Snowflake. Our data pipelines are built using Stitch and dbt cloud and Airflow. We use Rudderstack as our preferred CDP. We use Tableau as our Visualization tool and Mixpanel for Product Analytics.

Your role & Impact

Analytics Engineers are responsible for translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.

Partner with our business stakeholders, BI analysts and other engineering team members to collect data needs - and translate this into functioning pipelines and data models
Build, and maintain efficient & reliable data models and pipelines for both external and internal data in partnership with data engineering
Perform root cause analysis in case of issues in data production processes
Ensure our colleagues are able to optimally use the data models via documentation, training, and monitoring of best practices

Your qualification

5 years of experience in building data marts/data models and performing adhoc analysis on large datasets
Strong knowledge in SQL, Data Modelling
Experience working with dbt is highly desirable
Good business modelling skills to transform stakeholders requirements into an actual data model
Software engineering experience in a programming language, preferably in Python
Experience using code repositories is highly desirable
Experience using a data visualisation tool is a plus