Senior Data Analyst – Data Governance & Quality (Remote)

Veeva Systems, Inc.; Barcelona; Híbrido; EUR 50.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

1% charitable giving program

Life insurance

Pension contribution

Fitness reimbursement

Descripción de la vacante

Veeva Systems is seeking a data analyst to join the product team in Barcelona. You will develop and implement a data governance framework, ensure data quality, and collaborate with product, engineering, and operations to close data gaps.

The ideal candidate will have 5+ years in data analysis or data quality, strong SQL and Python skills, experience with AWS/GCP/Azure, and a track record of documenting processes and guidelines.

Formación

• 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.
• Strong problem-solving skills and experience working with cross-functional teams.
• Experience writing process documentation and data collection guidelines.

Responsabilidades

• 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.
• Create customized reports and dashboards.
• Extract data from databases (e.g., Redshift, MongoDB).
• Identify and resolve root causes of quality issues.
• Collaborate in cross-functional teams of product managers, engineering, and operations.
• Create and maintain documentation.

Conocimientos

Data analysis

Data quality

Cross-functional collaboration

Problem-solving

Educación

University degree in medicine or life sciences

Herramientas

SQL

Python

AWS

GCP

Azure

Descripción del empleo

Veeva Systems is seeking a data analyst to join the product team in Barcelona. You will develop and implement a data governance framework, ensure data quality, and collaborate with product, engineering, and operations to close data gaps.

The ideal candidate will have 5+ years in data analysis or data quality, strong SQL and Python skills, experience with AWS/GCP/Azure, and a track record of documenting processes and guidelines.