Analytics Engineer (f/m/div)
Tasks
- Build and deploy machine learning models for anomaly detection
- Build and deploy machine learning models for business insights
- Build and deploy machine learning models for forecasting
- Build and deploy machine learning models for process optimization
- Collaborate with finance stakeholders on analytical solutions
- Design and maintain data pipelines and workflows
- Develop analytics solutions dashboards and reporting tools
- Gather clean transform and analyze data
- Implement generative AI use cases for finance productivity
- Improve analytics solutions continuously
- Monitor model performance
- Support data governance and quality assurance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Celonis | Cloud platform | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Visualization | Generative AI | Google Cloud | Google Cloud Platform | Machine Learning | Power BI | Predictive Analytics | Process mining | Prompt engineering | Python | R | SQL | Tableau | UiPath
Education
Bachelor of Science | Master of Engineering | Master of Science
Roles
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