BI Developer - Analytical Foundation

BI Developer, Common Data Warehouse - Marketplaces

Contribute to building a state-of-the-art common data platform

The analytical Foundations team is looking for a data visualisation savvy BI Developer to help us design and build the frontend of the Common Analytics Model (CAM). The goal of the CAM is to create an Aligned and Federated data model source based on varied data across Schibsted’s 45+ brands.

This role will be central in realizing our vision: “Enable all the people in Schibsted to leverage any data in Schibsted”. This position is for the Marketplaces extension Team, supporting Schibsted brands like bilbasen.dk, blocket.se, dba.dk, finn.no and tori.fi.

As an analytical engineer in our CDW - Marketplaces Team, you will have two areas of responsibility. (1) You will create and maintain a high-performance robust visualization of the overall performance of Schibsted’s different Marketplaces. And (2) collaborate with analysts and other data consumers across Schibsted and iterate to mirror the user behaviour and business performance in our marketplaces. To succeed in the role you will have to effectively collaborate with analysts, brands BI developers, and other Data consumers and other stakeholders.

We strive to build a solid and extendable data model aligned with the best practices in the field, in order to enable analysts and other data consumers to deliver value. We have a strong culture of transparency and knowledge sharing. Every team member is encouraged to be curious and continue learning, for which we have plenty of opportunities thanks to frequent tech talks and workshops with other teams in Schibsted.
You will be working with a modern cloud-based tech stack:

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Data exploration in Databricks (PySpark)

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Data Modeling tooling like Data Build Tools

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User-facing data in Snowflake and Tableau

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And data cataloging and documentation (We use Alation)


Who we are looking for:

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You believe that data observability is as necessary as the quality of data you serve

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You have a nag for easy understanding data visualization

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You have a deep knowledge of SQL

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You have experience working with a cloud-based tech stack similar to ours

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You desire to take on challenges and grow as an engineer

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You thrive in a collaborative environment and can communicate effectively

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You aspire to be a valued team member and a collaborative colleague for your peers


From Hiring Manager:

Hi, My name is Lukas and I’m your new manager. I have about 15 years of experience in the Data & Analytics field, early on as a Data Analyst and later as a Data & Analytics leader. I’ve been managing different teams in the data and analytics field over the past 8 years.

I believe in building a strong team culture with rituals that create belonging and team spirit, with a high level of a feedback culture. The importance of an environment where everyone can feel safe and comfortable and anyone can thrive.

Privately I love to spend a lot of time with my family, preferably in our summer house in the Finnish archipelago or in the mountains snowboarding and skiing. I do spend a lot of time in the gym to keep my body strong and sound to keep on doing what I love, skateboarding and snowboarding. I do pick up my guitar every now and then and love to watch 80’s movies.

Schibsted is a family of digital brands with a strong Nordic position, and more than 5,000 employees. Millions of people interact with our companies every day through our leading online marketplaces, world-class media houses. We also help new promising businesses grow. Our joint mission of empowering people in their daily lives is rooted in the values of our media heritage and a legacy of bold change. At our best, we are a fearless force for change in a society built on trust and transparency.

Data & Tech is a central product and tech unit that serves all of Schibsted. We are about 250+ people in Oslo, Stockholm and Krakow, and collaborate closely with other product and tech teams in all units in Schibsted. Areas of responsibilities include data & technology strategy, privacy/data trends/responsible data & machine learning, information security and internal IT.