Senior BI Specialist

at  Sortlist

Sortlist is a global platform that connects businesses and suppliers worldwide, building great business stories. Since our inception in 2014, Sortlist has become one of Belgium’s fastest-growing software companies, with a team of 90+ talented individuals across Europe.
We are offering an opportunity to join our Corporate Strategy Department as a Senior BI Specialist, where you will be responsible for conducting in-depth, data-driven analysis. We are looking for someone with a growth mindset, eager to learn in a dynamic environment and passionate about utilizing data and technologies like BigQuery, Tableau and/or PowerBI to derive insights and guide business decisions. Your role will include exploring Sortlist’s data, presenting your findings to executive management, and playing a crucial role in driving our growth and advancing our product.

• Business overview:
• Ownership: define key topics, uses cases to leverage data and enhance business. You will have the responsibility as well to design, create, and maintain business-critical dashboards and solutions on Tableau/PowerBI to track key metrics and influence data-driven decisions
• Investigation: conduct ad hoc exploratory analysis to identify novel insights based on the highest business priorities.
• Communication: present and communicate data and findings to different stakeholders using compelling narratives and visualizations
• Empowerment: devise strategies to increase data awareness and make analyses easily replicable by other team members.
• Growth: draw data-driven business insights to improve the company’s strategy and growth.
• Technical overview:
• Data Analysis: Analyze data / insights for specific business cases.
• Data Visualization: Manage our data visualization tool (Tableau, PowerBI or equivalent).
• Data manipulation and analysis: Proficiency in SQL for querying databases, programming languages like Python or R for data manipulation and statistical analysis is a plus.
• Data Warehousing: Familiarity with data storage solutions (such as Google Big Query or Amazon Redshift) and architectures to organize and retrieve data efficiently.
• Critical thinking: Ability to interpret data results and think critically about the implications and limitations of data analysis.