Process Analytics Engineer - Mid
Process Analytics Engineer - Mid
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
The Process Analytics Engineer will be a key member of the Enterprise Projects team supporting process mining and operational analytics initiatives. This role focuses on preparing and transforming operational data for use in process analytics developing process mining models and delivering actionable insights through dashboards and automation. The ideal candidate will have hands-on experience with Celonis or comparable tools and a strong foundation in data engineering and Power Platform technologies.
Qualifications :
- Assist with the evaluation of process mining platform(s) e.g. Celonis Aris etc.
- Design and implement process mining models using Celonis or similar tools.
- Collaborate with business and IT teams to understand operational workflows and associated data sources and translate them into event logs.
- Build and maintain data pipelines to extract transform and load (ETL) data from enterprise systems (e.g. SAP Oracle Salesforce).
- Develop Power BI dashboards to visualize process performance KPIs and automation opportunities.
- Leverage Power Automate and Power Apps to streamline workflows and integrate analytics into business processes.
- Conduct root cause analysis and identify process inefficiencies compliance gaps and automation opportunities.
Required Skills/Experience
- Ensure data quality governance and documentation across all analytics initiatives.
- 57 years of experience in process mining using Celonis or similar platforms.
- Strong background in data engineering including SQL ETL and data modeling.
- Experience preparing event logs and operational datasets for analytics.
- Proficiency in Power BI for dashboard development and data visualization.
- Familiarity with the Microsoft Power Platform (Power Automate Power Apps).
- Ability to work independently in a remote/offshore environment and collaborate across global teams.
- Strong communication skills and ability to translate business needs into technical solutions.
Skill
SQL: Required
Celonis / Process Mining Tools: Required
Power BI: Required
Power Automate / Power Apps: Optional
Data Engineering / ETL: Required
Event Log Preparation: Required
Python / R: Optional
Visualization Software: Required
Additional Information :
Education:
- BS in Computer Science Information Technology degree Data Analytics or equivalent
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Lean Manufacturing
- Six Sigma
- Distributed Control Systems
- Continuous Improvement
- Process Improvement
- Minitab
- Root cause Analysis
- Process Engineering
- cGMP
- Kaizen
- Programmable Logic Controllers
- Manufacturing
