The Adventure
We are convinced that outside is exciting, relaxing, and inspiring. It’s versatile, for some it is a place to relax, for others it is the ultimate challenge. A place to enjoy and where big and small moments come together. It’s a place to be discovered or recognized. But the outdoors can also be treacherous and unpredictable. Weather and terrain can surprise you. Our mission is to enable all people to spend inspiring and epic moments outside.
Yonderland is a European group of premium brands and retail concepts focused on outdoors. Including A.S. Adventure, Juttu, Bever, Cotswold, Snow+Rock, Runnersneed and Ayacucho. Yonderland runs over 190 shops in Belgium, Luxembourg, France, Great-Britain and The Netherlands and resides in Belgium. https://www.yonderland.com/
At Yonderland we are modernizing our analytics stack. This role bridges our data engineering team (building datasets in Snowflake), our product BI specialists (who translate business needs into analytics), and data architects who design how information flows. You'll establish standards for how we build, structure, and present data in Power BI; collaborate with architects and engineers to ensure datasets are well-designed for analytical use; mentor teams on BI best practices; and oversee the quality, consistency, and usability of our reporting environment as we scale.
YOU WILL
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Collaborate with data architects and data engineers to design and implement data modeling solutions that ensure datasets are well-structured for analytical use and support enterprise information management.
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Work with the data engineering team to ensure Snowflake datasets are structured and exposed in Power BI in ways that support clear, performant, and easy-to-use reporting.
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Establish and document standards for how we build, organize, and present analytics in Power BI—naming conventions, data model patterns, DAX practices, report design guidelines—ensuring consistency across the organization.
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Be responsible for overseeing the quality, consistency, and optimization of data models and reports; ensure they adhere to best practices for scalability, security, and maintainability.
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Support data engineers and architects how to think about Power BI data models, DAX measures, and reporting semantics so they build datasets with BI in mind.
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Help product BI specialists transition their analytics expertise to Power BI; mentor them on data modeling, Power BI-specific approaches, and how to structure reports for self-service.
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Build reference templates and example reports that demonstrate best practices; use these as teaching tools for engineering, architecture, and BI teams.
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Review reports and data models built by others; provide feedback to improve consistency, performance, and usability.
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Help business teams understand the new Power BI environment and build self-service reports following established standards.
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Support the establishment and operationalization of a semantic layer on top of our analytics datasets.
Your equipment
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3+ years of Power BI experience — Building data models, reports, and dashboards in production Power BI environments.
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Strong Power BI modeling and DAX expertise — Proficiency in designing efficient data models, writing DAX measures and calculations, optimizing for performance, understanding different modeling patterns.
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Data warehousing and dimensional modeling knowledge — Understanding of star and snowflake schema design, fact and dimension tables, and how to structure data for analytical use.
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SQL proficiency — Comfortable writing and understanding SQL; able to discuss data optimization and structure with data engineers.
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Understanding of BI concepts, semantics, and data architecture — Experience with OLAP, cube-based systems, or semantic layers; ability to assess data structure quality and explain why design decisions matter for reporting and analytics; understanding of dimensional modeling and data governance principles.
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Teaching and mentoring ability — Experience helping others learn BI tools and concepts; comfortable explaining technical approaches in clear language; able to write standards and best practice documentation.
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Some data engineering familiarity —Understanding of Python, dbt, or ETL concepts; comfortable working with data teams; understanding of how data flows from source systems through a data warehouse.
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Bachelor's degree in computer science, information technology, business analytics, or a similar field (or equivalent professional experience).
Our assets
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A versatile position with pronounced responsibility and variety in a strongly growing and innovative market leader, operating internationally with headquarters in Hoboken (Antwerp) and offices in the Netherlands and the UK.
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An open corporate culture where you can be yourself.
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You can count on a competitive gross monthly salary in proportion to your experience including the possibility of a company car supplemented by numerous fringe benefits such as meal vouchers, group and hospitalisation insurance, additional holidays, staff discount.
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Adventurous colleagues in an international and diverse team.
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The opportunity to participate in our bootcamps (showers available) and various team events twice a week during the lunch break.
