Daltix is a young company from Ghent (BE) with offices in Boom (BE) and Lisbon (PT) bringing real-time insights to the world of retail. We have developed a set of tools to gather, process and analyze e-commerce data from webshops. Every day, we collect prices, promotions and assortment data from a myriad of e-commerce channels. This data is turned into actionable insights for the right people at the right time by extracting high level insights, introducing more structure and enriching the information with alternative data sources. These insights are used by retailers and suppliers to help them in their market positioning.
As data analyst, you’ll be responsible for analyzing and visualizing the data to create insights for retailers and suppliers. This involves interpreting the problem/ business case, cleaning, transforming and analyzing data, but also making demos, dashboards, and presentations. This all is done using the Python language, which is one of the most popular languages for data science nowadays, and Tableau for visualisation.
Conceptualize and define product requirements/specifications in close collaboration with all departments and always focusing on customer needs.
Maintain a good communication and relationship with the engineering team and regularly sit down with them to remain updated on development status.
Be on the lookout for new technological trends and be open to brainstorm about their possible uses in the product.
You’ll be in close contact with both the data engineering team, and the commercial teams abroad.
Bachelor’s degree in engineering (computer science, analytics, commercial
Passionate about working with data and extracting insights while using BI-tools such as Tableau.
Expert in analyzing & visualising data to make demos, dashboards, presentations and other client-oriented required visualisations.
Basic programming experience with data processing in Python.
Interested in the commercial activities of Daltix.
Good knowledge of Excel.
Communicative and fluent in English.
Masters degree in engineering (computer science, analytics, commercial)
Critical and analytical mindset.
Experience with databases (querying: SQL).
Experience with Amazon Web Services.
You get energy from working in a high complex and challenging startup environment with a high tech product.
You are independent, open-minded and are full of good vibes to spread around the team.
How to ApplyDo you think you’d be the perfect fit for this job? Let us know by sending your cover letter + CV to firstname.lastname@example.org.
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