Analytics Engineer

📋 Description

• Analytics Engineer to turn financial and operational data into insight
• Build models, analyses, and automated data products for Finance, adoption, and GTM ops
• Develop scalable dashboards and data products with SQL and Python
• Partner with stakeholders to translate questions into structured analyses
• Apply statistical methods and predictive modeling to anticipate trends
• Leverage AI tooling and automation to accelerate analytics workflows

🎯 Requirements

• 2–4 years in analytics engineering, data analytics, BI development, or related role
• Strong SQL skills with large, complex datasets
• Hands-on Python for data analysis, automation, and modeling
• Foundations in data/financial modeling, forecasting, scenario planning
• Statistical methods mindset with rigorous methodology
• Experience with software engineering practices and BI/data visualization tools

🎁 Benefits

• Pioneer Innovation: Work with Celonis’s Process Intelligence Platform
• Ownership from Day 1: RSUs and merit-based refresh grants
• Work-Life Integration: Flexible hybrid model and generous PTO
• Growth: 70-20-10 learning framework and mentorship