Celonis Developer

Job Summary:
**Responsibilities**:
Developing and implementing solutions to optimize processes and improve efficiency and effectiveness.

Performing Process Analysis to uncover insights and patterns from the process model.

Designing and developing ETL pipelines to extract, transform, and load data from various sources into the process mining system.

Designing and implementing data models for process mining, including event logs, process models, and performance metrics.

Developing custom process mining algorithms to analyze and visualize process data and identify process improvement opportunities.

Collaborating with data scientists and/or other stakeholders to ensure that the process mining system is accurate, reliable, and effective.

Optimizing the performance of the process mining system to ensure that it can handle large volumes of data and complex process models.

Creating dashboards and reports to communicate process performance to stakeholders.

Maintaining and updating the process mining system to ensure that it is aligned with business needs and changing data environments.

Staying up-to-date with emerging trends, technologies and techniques in process mining and data analytics.

Skills and Experience:

- Bachelor's or Master's degree in computer science, engineering, business administration, or a related field.
- Must have a Minimum of 2 years’ experience leverging Celonis development.
- Strong understanding of data analysis and process optimization techniques.
- Background in “data side” of business process analysis.
- Experience with Data Structures, Data Analsis and ETL.
- Experience with SQL constructs and concepts.
- Experience with Data Analysis work such as Unique identifiers, Data Normalization, Scrubbing (string manipulation, data exception handling, data relationships, etc.).
- Experience with scripting technologies (Python, SQL, Excel VBA, etc.)
- Experience with Business Intelligence tools such as SQL/SSRS, PowerBI, Tableau, etc.)
- Excellent communication and project management skills.
- Ability to collaborate effectively with business stakeholders and process owners.
- Specific Data Science experience is a plus.
- Strong problem-solving and analytical skills.