Data Analyst

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

You are expected to contribute to the analysis, design, development, documentation, unit testing and maintenance of business intelligence, data analysis and reporting.

What will you be bringing to the team?

• Data collection: create pipelines to interact with internal and external databases, including web APIs. Design, develop, document and maintain processes for data collection, integration, transformation and dissemination including automation processes
• Data mining and data analysis: Design, develop, document and maintain data analytics and statistical analysis products, reports and surveys
• Data processing: Design, develop, document, maintain and ensure data quality, data harmonization and cleaning
• Prediction: Development of predictive models, such as machine learning, to identify relevant features and predict future events
• Data reporting: Design, develop, document and maintain BI models, reports, dashboard, security, and automation
• Data visualization: Design and build interactive and attractive visualizations of data
• Collaborate with data architect/engineer to design, develop, document and maintain data architecture, data modelling and metadata
• Facilitate analysis and integration processes on the overall data ecosystem, including data governance, by working with data providers to fill data gaps and/or to adjust source-system data structures
• Participation in meetings with the project and data teams

What do you need to succeed in this position?

• Higher studies + at least 6 years of experience in similar positions.
• Advanced data and statistical analysis, techniques and tools using Python
• Knowledge of Natural Language Processing libraries and techniques using Python
• Creating reports, visualizations, and dashboards using Python (e.g. Databricks, Jupyter notebooks, voila dashboards) and Power BI
• Development and data processing using Python for structured, semi-structured and unstructured data types and related file formats (e.g. JSON, Parquet, Delta)
• Advanced Power BI Online Services and best governance practices
• Gathering business requirements and transforming it into data collection, integration and analysis processes
• Knowledge of modelling libraries, including OLS regression, generalized linear models and machine learning, in Python
• Data modelling, principles and methods
• The below would be considered as an advantage:

1. Advanced data and statistical analysis, techniques and tools using R
2. Microsoft On-Prem and Azure Data Platform tools (such as Azure Data Factory, Azure Functions, Azure Logic Apps, SQL Server, ADLS, Azure Databricks, Microsoft Fabric/Power BI, Azure DevOps, Azure AI Services)
3. Databricks ecosystem, Apache Spark, Polyglot, Python and R data processing libraries
4. Knowledge of SQL, Power M, DAX,
5. Data governance and data management standards, policies, processes, metadata, quality
6. Data Lakes and Data Lakehouse architecture, concepts and governance
7. Master data and reference data management concepts
8. Business glossaries, data dictionaries, and data catalogues
9. DAMA Data Management best practices and standards
10. Web APIs and OpenAPI standard
11. Survey tool e.g. EU Survey

• Fluency in English.

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.