DESCRIPTION:

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Data Analytics Engineer to join our UniQue team in Brussels!

What will you be doing in this role:

• Process and analyze CSV files as primary data input, ensuring data accuracy, completeness, and integrity;


• Develop, deploy, and maintain interactive Shiny dashboards that use the CSV files as data input and allow to visualize data insights effectively;


• Develop R scripts for data cleaning, manipulation, and analysis;


• Develop Tableau dashboards to visualize data;


• Work closely with stakeholders to understand requirements, provide data-driven insights, and improve dashboard functionality;


• Continuously optimize and update Shiny applications to enhance performance and user experience;


• Document data processes, analysis workflows, and dashboard functionalities for future reference and team collaboration;


• Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies;


• All these activities require interactions with business stakeholders and with the IT teams, as well as a strong participation in business and/or functional working groups, progress meetings and meetings with the stakeholders (IT and business).

REQUIREMENTS:

What do you need to succeed in this position?

• A Masters degree + 13 years of relevant professional experience;


• Excellent knowledge of data analytics techniques and tools;


• Expertise in the ETL processes;


• Knowledge of R-Studio;


• Strong command of R for data manipulation, analysis, and visualization. Experience with R packages such as dplyr, ggplot2, readr, and data.table;


• Experience building interactive dashboards using R Shiny (or similar), including familiarity with shiny libraries, reactive programming, and UI/UX best practices within Shiny;


• Experience in handling, cleaning, and processing data from CSV (comma-separated values) files, including experience with large datasets and optimizing CSV file handling in R (or Python);


• Experience in data wrangling, statistical analysis, and creating clear, insightful visualizations using R (or Python) and Shiny (or similar);


• Experience in developing R functions;


• Experience using Git or other version control systems for collaborative work;


• A good command of the English language.

Advantageous technical skills

• Experience in building R packages is an asset;


• Good knowledge of Tableau for the development of dashboards is an asset.

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.