Analytics Engineer: Data-Driven Finance & AI Insights

Celonis; Madrid; Presencial; EUR 48.000 - 65.000; Jornada completa

Descripción de la vacante

Celonis is seeking an Analytics Engineer to turn financial and operating data into actionable insights. You will build models, analyses, and automated data products to support smarter decisions across Finance, adoption, and GTM operations.

You should be proficient in SQL and Python, with a strong statistical mindset and experience turning complex data into clear narratives for business stakeholders. This hands-on role emphasizes best practices and scalable analytics.

Formación

• 2-4 years of experience in analytics engineering or a comparable role.
• Strong SQL skills and experience with large datasets.
• Hands-on Python for data analysis, automation, and modelling.
• Solid foundations in data/financial modeling, forecasting and scenario planning.
• Familiarity with software engineering practices and BI tools.
• Ability to translate data into insights for non-technical stakeholders.

Responsabilidades

• Translate business questions into structured analyses and recommendations.
• Build and maintain data/financial models and forecasting logic.
• Develop scalable data products and automated dashboards for self-service analytics.
• Collaborate with Finance, GTM operations, and Data/Tech teams.

Conocimientos

SQL

Python

Statistical modeling

Data modeling

BI Visualization

Automated dashboards

Communication

Cross-functional

Educación

Degree in quantitative field

Herramientas

Cursor

Descripción del empleo

Celonis is seeking an Analytics Engineer to turn financial and operating data into actionable insights. You will build models, analyses, and automated data products to support smarter decisions across Finance, adoption, and GTM operations.

You should be proficient in SQL and Python, with a strong statistical mindset and experience turning complex data into clear narratives for business stakeholders. This hands-on role emphasizes best practices and scalable analytics.