Process Mining Developers are truly the "magicians" of data transformations. They utilize advanced data engineering techniques to make operational data speak human language.
Perform data discovery to understand available data sources.
Validate and ensure the quality of raw data.
Configure extraction methods using specialized tools or interfaces.
Refine and clean data for analysis.
Transform data by adding entities, activities, attributes, metrics, and tags.
Create validation tests for data and activities.
Track version history using version control systems.
Upload data to production environment.
Collaborate with subject matter experts (SMEs) for validation and refinement.
Grant user access to applications and schedule data refreshes.
Implement new data transformations or refine dashboards iteratively.
Hand over projects to other Process Mining Developers for updating and maintenance.
Set up the development environment for process mining. (optional)
Bachelor's degree in computer science, data science, or related fields.
Proficiency in data analysis and manipulation using tools like SQL, Python.
Experience with data visualization tools such as Tableau or Power BI.
Knowledge of business process management (BPM) concepts and frameworks.
Excellent communication and collaboration skills for cross-functional teamwork.
Prerequisite: Should have knowledge about Data Manipulation Technologies (SQL), Tableau/PowerBI, BPM.
Process Mining Developer Training