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7 days ago
The Process Analytics Engineer plays a pivotal role in the Enterprise Projects team, driving process mining and operational analytics initiatives forward. This key position focuses on preparing and transforming operational data for use in process analytics, developing process mining models, and delivering actionable insights through dashboards and automation.
Key Responsibilities- Evaluate and recommend process mining platforms that align with business objectives.
- Design and implement process mining models using Celonis or similar tools to optimize business processes.
- Collaborate with cross-functional teams to understand operational workflows and data sources, translating them into event logs that inform decision-making.
- Develop and maintain robust data pipelines to extract, transform, and load (ETL) data from enterprise systems, ensuring data accuracy and integrity.
- Create engaging Power BI dashboards to visualize process performance and key performance indicators (KPIs), enabling informed business decisions.
- Utilize Power Automate and Power Apps to streamline workflows and integrate analytics into business processes, driving operational efficiency.
- Conduct thorough root cause analysis to identify process inefficiencies and compliance gaps, informing strategic improvements.
- 5-7 years of experience in process mining using Celonis or similar platforms, with a proven track record of success.
- A strong background in data engineering, including SQL, ETL, and data modeling expertise.
- Experience preparing event logs and operational datasets for analytics, ensuring high-quality data inputs.
- Proficiency in Power BI for dashboard development and data visualization, creating informative and engaging reports.
- Familiarity with the Microsoft Power Platform, leveraging its capabilities to drive business outcomes.
- Ability to work independently and collaboratively across global teams, fostering a culture of collaboration and open communication.
- Strong communication skills, with the ability to translate business needs into technical solutions that meet stakeholder expectations.
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