Business Analytics & Data Governance Specialist

About the role

We are looking to temporarily hire a Business Analytics & Data Governance Specialist at our headquarters in Madrid to join the Data Governance area.

We are looking for a hybrid profile that combines a solid technical component (advanced SQL, Python, Cloud) with analytical capacity and the ability to interface with the business. You will work hand in hand with the area manager, serving as the technical engine responsible for ensuring that financial data is correct, accessible, and optimized in the cloud.

What you'll do

Data Control and Quality (Data Quality): Monitor and ensure accuracy, consistency, and integrity in the loading and transformation processes of financial information.

Technical Development and Automation: Write code in Python and complex SQL queries to automate pipelines, extract, and transform large volumes of data.

Exploitation and Cloud Environment: Management and optimization of analytical databases in the cloud (mainly BigQuery).

Business Interfacing: Collaborate directly with financial areas to translate operational and strategic needs into logical data solutions.

Code Management: Maintain, review, and upload team code using GitLab.

Responsibilities: Analytical and proactive profile, with experience in data quality and technical excellence. Contribute to designing, optimizing, and maintaining the data quality model in Google Cloud Platform (GCP), guaranteeing high standards of data quality and governance, serving as a bridge between technical infrastructure and the analytical needs of the business. Experience implementing data quality and data governance frameworks. Develop processes with advanced SQL code and develop scripts with Python for data automation, ingestion, and processing. Monitor planned quality loading processes and resolve incidents. Participate in quality working groups with scrum masters to discuss validations. Detect areas for improvement. Technical Requirements Experience: Minimum 4-5 years in Data Quality, Data Engineering, or Data Architecture roles. Modeling and SQL: Expert SQL mastery and complex data model design. Analytical Stack: Solid and demonstrable experience working with dbt in production environments. Programming: Advanced level of data-oriented Python (automation, dataframe manipulation, APIs). Google Cloud Platform: Deep experience in BigQuery and deployments in Cloud Run. Familiarity with the Google Cloud ecosystem. Data Quality: Practical experience defining quality metrics, business rules, pipeline monitoring, and data lineage. Soft skills: High analytical capacity, autonomy, problem-solving oriented mindset, and proactivity to propose improvements without waiting for instructions.

What we're looking for

Experience: Between 4 and 5 years in roles such as Data Quality Analyst, Data Governance Analyst, Senior Data Analyst, or BI Developer.

Advanced SQL (Essential): Mastery in query optimization.

Cloud Environments: Solid experience in the cloud, preferably Google Cloud Platform (BigQuery).

Version Control: Regular use of GitLab.

Expertise/Business: Previous experience in analysis, validation, or governance of financial information.

Nice to have

What We Are Looking For in You (Soft Skills):

Proactivity and Initiative: Openness to proposing autonomous solutions to data quality problems.

Effective Communication: Ability to communicate with business stakeholders and convey technical concepts clearly.

Analytical Thinking: Critical capacity to detect anomalies and guarantee data reliability.

Hiring process

If you meet these requirements and are motivated to be part of a dynamic environment focused on data governance, apply now and join the team! 🚀

If you meet these requirements and are motivated to be part of a dynamic environment focused on data governance, apply now and join the team!