Pharma Data Analyst: Visual Analytics & Dashboards

Roche; Madrid; Presencial; EUR 52.000 - 76.000; Jornada completa

Descripción de la vacante

Roche in Madrid seeks a Data Analyst to bridge business challenges and technical data solutions within the PTE organization. You will profile data, manage data product performance, and support end-to-end maintenance to ensure data products are visible, measurable, and reliably supported for diverse users, including Data Scientists, BI Experts, and leaders.

You will collaborate with Data Domain Leads, Data Product Owners, SMEs, and Data Engineers to keep data products high-performing and aligned

Formación

• 5+ years in Pharma Technical Operations and project work.
• Strong data visualization with Tableau/PowerBI and SQL/Python for data extraction.
• Experience with GMP, FDA regulatory knowledge and Quality systems.

Responsabilidades

• Data Profiling & Requirements Translation: use SQL and Python to profile and analyze data for features.
• Integrity, Compliance & Quality: ensure data products meet integrity, security, and validation standards.
• Data Exploration & Discovery: perform deep-dive exploration with DDL collaboration.
• Collaborative Data Modeling: contribute to data modeling with DPO and architects.
• Standardization, Contracts & Lifecycle Documentation: define data contracts and metadata.
• Performance & Visual Management: build dashboards to report KPIs to leadership.
• Maintenance & Support Management: act as primary contact for data product support.

Conocimientos

Tableau

PowerBI

SQL

Python

SAP

SAC

Jira

Educación

Bachelor's or Master's in Pharmacy/Biotechnology

Herramientas

Tableau

PowerBI

SQL

Python

SAP

SAC

ELN

LIMS

MES

LES

Jira

Descripción del empleo

Roche in Madrid seeks a Data Analyst to bridge business challenges and technical data solutions within the PTE organization. You will profile data, manage data product performance, and support end-to-end maintenance to ensure data products are visible, measurable, and reliably supported for diverse users, including Data Scientists, BI Experts, and leaders.

You will collaborate with Data Domain Leads, Data Product Owners, SMEs, and Data Engineers to keep data products high-performing and aligned