Description
Job Summary:
We are looking for a Master Data Analyst to join a multidisciplinary team, ensuring the analysis, validation, and monitoring of critical data to support operations and decision-making.
Key Highlights:
1. Direct collaboration with Engineering and Operations
2. Transforming data into relevant insights for decision-making
3. Actively interpreting and improving data quality
#### **About the Master Data Analyst Role**
**Master Data Analyst**
**Location**
Aveiro
**Role Mission**
We are seeking a Master Data Analyst to join a multidisciplinary team working in direct collaboration with Engineering, ensuring the analysis, validation, and monitoring of critical data to support operations and decision-making.
This professional will play an active role in interpreting, questioning, and improving data quality, contributing to the identification of inconsistencies, trends, and optimization opportunities. An engineering background is not required; however, strong analytical capabilities and experience in data processing and visualization are highly valued.
**Key Responsibilities**
Analyze and validate data from various sources and systems;
Collaborate closely with Engineering and Operations teams;
Identify inconsistencies, deviations, and opportunities for data quality improvement;
Transform data into relevant insights to support decision-making;
Ensure reliability and integrity of analyzed information;
Support continuous improvement initiatives through data analysis.
**Requirements**
Good command of English (spoken and written);
Experience with data visualization tools:
Looker Studio
Microsoft Power BI
Knowledge of Python for data analysis and processing;
Strong analytical ability and critical thinking;
Proactive, motivated, and results-oriented profile;
Good communication and teamwork skills;
Ability to question data and processes in a structured and constructive manner.
**Preferred Qualifications**
Prior experience in industrial or automotive environments;
Knowledge of databases and SQL;
Experience analyzing large volumes of data;
Familiarity with data quality processes (Data Quality / Master Data).
Personal Profile
Analytical and detail-oriented;
Autonomous and organized;
Curious and committed to continuous improvement;
Motivated to work in a collaborative and dynamic environment.