Live opening · Posted 7 days ago
Data Analytics Expert (f/m/div.)
ETAS · Lisboa, Lisboa, Portugal
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At a glance
The key details from the original listing.
CompanyETAS
LocationLisboa, Lisboa, Portugal
Job typeFull-time
Work modeHybrid
Source
Smartrecruiters
Listed7 days ago
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About the role
Description supplied by the original job listing.
Develop and maintain interactive dashboards and advanced data visualization solutions to support business and project needs.
Cleanse, structure, and validate unstructured data to ensure completeness and data quality according to defined requirements.
Support the HS Code Review Project and FTICS initiatives through data analysis, monitoring, and reporting.
Analyze data to identify patterns, inconsistencies, trends, and improvement opportunities.
Track, cluster, and organize incoming information requests and related responses.
Support stakeholders with data-driven insights and reporting to facilitate informed decision-making.
Contribute to the continuous improvement of data analysis and reporting solutions.
Education
Bachelor's or Master's degree in Data Analytics, Computer Science, Business Informatics, Statistics, Mathematics, or a related field.
Experience
Experience in data analytics, reporting, or business intelligence.
Experience developing dashboards and data visualization solutions.
Practical experience with data cleansing, validation, and preparation.
Experience working with business data in project or process environments.
Know-how
Strong experience with Power BI and Power Query.
Strong SQL skills.
Knowledge of dimensional modelling and semantic data models.
Proficiency in standard Office applications and relevant project management systems.
Understanding of SAP ERP tables and business logic is an advantage.
Experience with Databricks is an advantage.
Languages
English – Full professional proficiency (written and spoken).
German – Nice to have.
Portuguese – Nice to have.
Working Style and Methods
Strong analytical and structured approach to data.
End-to-end thinking and ability to connect data with business processes.
Ability to work with complex, incomplete, or unstructured data.
Experience working in process-oriented or project environments is an advantage.
Able to translate business requirements into practical data and reporting solutions.
Personality
Analytical and curious.
Solution-oriented and pragmatic.
Detail-conscious while maintaining a broader business perspective.
Collaborative and comfortable working with different stakeholders.
Proactive and eager to identify opportunities for improvement.
Employment type
Full-time
Work arrangement
Hybrid
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