FP&A Analytics Engineer: Build Scalable Financial Data Sets

Job&Talent; A distancia; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A global workforce solutions provider in Madrid is seeking an exceptional Analytics Engineer to join their FP&A team. This role offers a unique opportunity to build analytics architecture from the ground up. The successful candidate will bridge Finance and Data, translating financial needs into scalable data models. Key qualifications include a background in Analytics Engineering, strong SQL and dbt skills, and effective communication and problem-solving abilities. Join us to make a significant impact on financial analytics.

Formación

• 3–5 years of experience in Analytics Engineering or Data Engineering.
• Solid experience with SQL and dbt.
• Experience working with multi-source datasets.
• Strong analytical and problem-solving skills.
• Comfortable working with Finance and Data stakeholders.
• Good verbal and written communication skills in English.
• Eager to improve data quality and personal skills.

Responsabilidades

• Support the FP&A data model by designing and maintaining scalable data models.
• Translate business needs into analytical datasets.
• Develop and maintain data models using dbt and Redshift SQL.
• Implement datasets for planning and financial decision-making.
• Collaborate with Finance Managers and Data Engineers.
• Ensure data quality through best practices.
• Contribute to improving data processes.

Conocimientos

SQL

dbt

Data integration

Problem-solving

Communication

Analytical mindset

Educación

Bachelor's degree in a quantitative field

Descripción del empleo

A global workforce solutions provider in Madrid is seeking an exceptional Analytics Engineer to join their FP&A team. This role offers a unique opportunity to build analytics architecture from the ground up. The successful candidate will bridge Finance and Data, translating financial needs into scalable data models. Key qualifications include a background in Analytics Engineering, strong SQL and dbt skills, and effective communication and problem-solving abilities. Join us to make a significant impact on financial analytics.