Data Quality & Governance Analyst (SQL/Python)

Veeva; Barcelona; On-site; EUR 35,000 - 48,000; Full time

Benefits offered by this job

1% charitable giving program

Medical private insurance

Private pension plan

Life insurance

Fitness reimbursement

Job summary

Veeva is seeking a detail-oriented Data Analyst to join the product team in Barcelona, Spain. You will help develop and implement a data governance framework, ensure data accuracy, and collaborate with cross‑functional teams to close data gaps.

Proficiency in SQL and Python for data manipulation and automation is required, with experience handling large datasets and building dashboards to drive actionable insights.

Qualifications

• 3+ years of work experience in data analysis or data quality roles.
• Proficiency in SQL and Python for data manipulation and automation.
• Experience with data storage/processing on AWS, GCP, or Azure.
• Experience with data visualization to create dashboards and reports.
• Understanding of GDPR/HIPAA and data privacy regulations.

Responsibilities

• Implement a data governance framework.
• Establish and maintain data quality monitoring processes.
• Develop automated checks to detect data inconsistencies.
• Apply statistical techniques to improve data quality.
• Create reports and dashboards tailored to stakeholders.
• Extract data from databases (e.g., Redshift, MongoDB).
• Identify root causes of data quality issues and drive solutions.
• Collaborate with cross-functional teams including product, engineering, and operations.
• Document data governance processes and standards.

Skills

SQL

Python

Data quality

Data governance

Dashboarding

ETL

Cloud platforms

Airflow

Education

University degree in life sciences

Tools

Redshift

MongoDB

Apache Airflow

Job description

Veeva is seeking a detail-oriented Data Analyst to join the product team in Barcelona, Spain. You will help develop and implement a data governance framework, ensure data accuracy, and collaborate with cross‑functional teams to close data gaps.

Proficiency in SQL and Python for data manipulation and automation is required, with experience handling large datasets and building dashboards to drive actionable insights.