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).
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 for more information.
Top Skills
What We Do
Uni Systems, a member of Quest Group, has been a reliable ICT partner to companies and organizations in the European market for over 60 years. We are the first IT company founded in Greece, in 1964, and we have been supporting our clients ever since. Trusting customers, extensive solutions offering, strong partnerships and experienced people, those are the main grounds for Uni Systems’ rapid expansion of operations across geographies and industries.
With more than 1450 specialized ICT professionals, established presence in more than 20 countries, and branches and subsidiaries in the heart of the European Union (Athens, Barcelona, Brussels, Bucharest, Luxembourg and Milan), we are effectively addressing the needs of European and International organizations and institutions and delivering value-added integrated solutions to our customers.
Through our strong industrial vertical expertise, supported by the range of our horizontal solutions, we hold a substantial and successful track record in the delivery and implementation of large-scale, mission-critical projects in the sectors of Banking & Finance, Enterprise & Utilities, Government, and Telecommunications, as well as in EU Institutions and Agencies.
Participations in real commercial implementations of best practices (i.e. ITIL, RUP, PRINCE2, PMI), has provided our people with significant experience, unique know-how and proven capability in designing, implementing and successfully supporting complex ICT projects, through a range of solutions and business areas.
At Uni Systems, we support innovation, and we have been investing in the European and National research ecosystem. Our Research and Innovation (RDI) department has been successfully bidding and winning a series of research programs in promising technological areas, such as 5G, AI in Health, and Blockchain in Governance.
Enabling our clients' digital transformation journey is our passion and we remain strongly committed to it.
