03 oct
|
Veeva
|
Barcelona
Veeva Link's vision is to become the global leader for deep data in life sciences. We are looking for a detail-oriented and experienced Data Analyst to join our product team. In this role, you will play a key part in developing and implementing a data governance framework, ensuring data accuracy, completeness, and integrity. Your main responsibilities include establishing data quality monitoring processes, identifying root causes of inconsistencies, and collaborating with cross-functional teams to resolve data gaps.
To thrive in this role, you need expertise in SQL and Python for data manipulation and automation. You should be comfortable working with large datasets, designing dashboards with actionable recommendations, and applying statistical techniques to assess and enhance data quality.
The adecuado candidate has experience in creating documentation (process documentation, data collection guidelines) and in contributing to data governance policies and best practices.
Implement a data governance framework
Establish and maintain robust processes for tracking and assessing data quality
Develop automated checks to proactively detect data inconsistencies
Apply statistical techniques to enhance data quality
Extract data from databases (e.g., Redshift, MongoDB)
Identify and resolve root causes of quality issues
5+ years of work experience in data analysis or data quality role
Strong technical skills in data analysis, with proficiency in SQL and Python
Experience in data storage and processing on cloud platforms such as AWS, GCP, or Azure
Experience writing process documentation and data collection guidelines
Understanding of healthcare, life sciences, or pharmaceutical industry data
Experience with data visualization tools to create dashboards and reports
Understanding of data engineering concepts (ETL, data pipelines)
Experience with workflow automation tools such as Apache Airflow
Experience working in an Agile or product-driven environment
Familiarity with data privacy
📌 Data Analyst (Barcelona)
🏢 Veeva
📍 Barcelona