Expert in data analysis and visualization

  • Data Science
  • Antwerpen, Belgium

Expert in data analysis and visualization

Job description

Expert in data analysis and visualization

As an experienced Data Analyst, you are ready to start a new challenge in a fast-paced environment where you can use your programming skills to solve challenging data-driven problems. With a passion for data analysis and visualization, you will be part of our Data Science Team.

Job Description:

  • Your main objective will be to extract, analyze, understand, and visualize insights output by the Sentiance platform.

  • You will conduct customized analysis and visualisation for different use cases and business verticals.

  • You will create visually-appealing dashboards available for the sales team and for customers during POC.

  • You will create visually-appealing reports aimed for internal distribution on the customer side.

  • You will conduct data analysis specific to individual proof of concepts.

  • You will work in close collaboration with biz dev, sales, and product owners to translate internal and client requirements into well-designed tooling.

  • You will work in close collaboration with designers, full stack engineers to create and deploy dashboards accessible through web clients.

At Sentiance people come to have an impact and learn.  You’ll be a part of an international team brought together by a culture of technical excellence, grit and integrity.  You’ll find our compensation and rewards competitive and of course, we have all the start up essentials: free coffee, nuts, fruits, a ping pong table in Antwerp, and often home baked goods.  Better yet, expect an agile and flat structure, dynamic growth opportunities, flexibility, and an openness for the curious.


Desired Skills and Expertise:

  • You have an academic degree (BSc or MSc) in computer science, economics, or any analytic-oriented fields, or have proven equivalent experience.

  • You have a quantitative mindset. 

  • You have proven experience in statistical analysis

  • Technical know-how: 

    • experience with the data analysis Python stack (Numpy, Scipy, Pandas, Matplotlib, Seaborn)

    • experience with dedicated business intelligence tools e.g. Tableau

    • experience with SQL

    • experience with relational databases (Postgres)

    • Knowledge of  interactive visualization libraries like D3.js or

    • understanding of front-end development e.g. Java Script/CSS/HTML

  • Data visualization skills: 

    • working knowledge of data visualization principles

    • basic understanding of design principles

  • Business knowledge:

    • understanding of business process and requirements

    • experience in data analysis and visualisation in a business-driven environment

  • Critical thinking

  • Communication skills