Analytics Engineer: AI-Powered Data & Forecasting

Celonis; Madrid (IA); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

RSUs

Parental leave

Unlimited PTO

Hybrid work model

Learning platform access

Wellhub health benefits

Impact Days

Job summary

Celonis is the trusted platform to industrialize Enterprise AI. This analytics engineer role sits in the Data & Transformation team, building data products, models, and automated insights to support smarter decisions across Finance and GTM operations.

You will work hands-on with SQL, Python, and statistical methods, turning complex data into clear recommendations and scalable dashboards, while collaborating closely with business partners to set higher analytical standards.

Qualifications

• 2–4 years of analytics engineering or related roles.
• Strong SQL skills and experience with large datasets.
• Hands-on Python for data analysis, automation, and modeling.
• Solid foundations in data/financial modeling, forecasting, and scenario planning.
• Familiarity with software engineering best practices and BI/data visualization tools.

Responsibilities

• Translate business questions into analyses and recommendations with clear narratives and visuals.
• Build and maintain robust data and financial models, forecasting logic and scenario analyses.
• Develop scalable, automated dashboards and data products using SQL and Python, with AI tooling where applicable.
• Collaborate cross-functionally with Finance, GTM, and Data/Tech teams to embed data-driven thinking.

Skills

SQL

Python

Analytical thinking

Data analysis

Statistical modeling

Data visualization

Version control

Communication

Cross-functional

Fast-paced environment

Education

CS/Engineering/Math/Stats/Econ degree

Tools

Cursor

BI tools

SQL tooling

Python libraries

Job description

Celonis is the trusted platform to industrialize Enterprise AI. This analytics engineer role sits in the Data & Transformation team, building data products, models, and automated insights to support smarter decisions across Finance and GTM operations.

You will work hands-on with SQL, Python, and statistical methods, turning complex data into clear recommendations and scalable dashboards, while collaborating closely with business partners to set higher analytical standards.