Data analyst / analyst

Haybury; Barcelona; Presencial; EUR 35.000 - 65.000; Jornada completa

Descripción de la vacante

A leading company in the pharmaceutical sector is seeking a Data Analyst to join their team in Barcelona. This role involves designing and optimizing data models using DBT in the Snowflake environment, supporting analytics across clinical research and operations. You will collaborate with cross-functional teams to ensure the delivery of high-quality data insights that impact patient outcomes. A hybrid working model is available, offering flexibility and a purpose-driven environment.

Formación

• Experience in data modeling with DBT.
• Strong SQL skills for analytical queries.
• Familiarity with Snowflake cloud environment.

Responsabilidades

• Design and implement data models using DBT.
• Collaborate with data teams to translate business needs.
• Maintain and optimize DBT models for reliable data operations.

Conocimientos

Data Modeling

SQL

Performance tuning

Data profiling

Data governance

Herramientas

DBT

Snowflake

Git

Tableau

Power BI

Descripción del empleo

We are seeking an experienced Data Analyst who enjoys Data Modeling in DBT, to work with a Pharmaceutical Organisation in Spain!

You will design, implement, and optimise data models using DBT, in a Snowflake cloud environment, that enable actionable insights across the business, particularly supporting analytics in clinical research, supply chain, and commercial operations.

Design and develop data models using DBT in a Snowflake cloud environment Collaborate with data engineers, data scientists, and business stakeholders to translate business needs into structured datasets and analytical frameworks Maintain, document, and version control DBT models (sources, staging, marts, macros) Perform data profiling, validation, and testing to ensure model quality and reliability Optimise performance of DBT models and Snowflake queries for large-scale data operations Ensure compliance with data governance, security, and regulatory requirements (e.g., Tableau, Power BI) by providing clean, trusted datasets)

DBT for developing and managing modular, tested, and well-documented data models Snowflake with an understanding of Snowflake-specific features SQL, including the ability to write efficient, readable, and optimised queries for analytical workloads Performance tuning in data environments Git and version control best practices, ideally in a collaborative or production DBT workflow

Hybrid working model The chance to work in a purpose-driven environment, where data plays a key role in shaping decisions that impact real lives and patient outcomes.