Experienced Data Analyst

  • Data Science
  • Antwerpen, Belgium

Experienced Data Analyst

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.


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 Plot.ly

    • 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