
Optimizing Operational Workflows through Data Analysis
7 days ago
As a Process Analytics Engineer, you will play a crucial role in helping our organization optimize its operational workflows and data sources. You will be responsible for evaluating process mining platforms, designing and implementing process mining models using Celonis or similar tools, and collaborating with business and IT teams to understand operational workflows and data sources.
Key Responsibilities:- Assist with the evaluation of process mining platforms to identify areas of improvement and optimize existing processes.
- Design and implement process mining models using Celonis or comparable tools to provide actionable insights and drive business growth.
- Collaborate with business and IT teams to gather requirements and develop data pipelines that extract, transform, and load data from enterprise systems.
- Develop Power BI dashboards to visualize process performance and automation opportunities, enabling data-driven decision making.
- Leverage Power Automate and Power Apps to streamline workflows and integrate analytics into business processes.
- 5–7 years of experience in process mining using Celonis or similar platforms.
- A strong background in data engineering, including SQL, ETL, and data modeling.
- Proficiency in Power BI for dashboard development and data visualization.
- Familiarity with the Microsoft Power Platform (Power Automate, Power Apps).
This is an exciting opportunity for a talented Process Analytics Engineer to join our team. If you have a passion for data analysis and process improvement, we encourage you to apply.
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