About the Role
The role involves applying data science techniques to process intelligence, using platforms such as Celonis to extract, analyze, and interpret process data from enterprise systems. The professional will work with clients across industries to uncover bottlenecks, recommend improvements, and implement data-led transformation initiatives.
Responsibilities
- Extract and process event log data from enterprise resource planning systems
- Apply process mining methodologies to visualize and assess business workflows
- Identify inefficiencies, deviations, and compliance risks in operational processes
- Develop data models to support process performance measurement
- Collaborate with consultants to translate analytical findings into business recommendations
- Design and deliver process intelligence dashboards for client stakeholders
- Validate data accuracy and integrity across source systems
- Support the implementation of process improvement initiatives based on insights
- Document analysis workflows and maintain reproducible analytical pipelines
- Present technical results to non-technical audiences in clear terms
- Stay current with advancements in process mining and data science techniques
- Contribute to the development of standardized analysis frameworks
- Work with cross-functional teams to integrate process intelligence into client projects
- Ensure alignment of analytical outputs with client business objectives
- Use scripting languages to automate data processing and reporting tasks
- Perform root cause analysis on process anomalies
- Support training activities for clients on process monitoring tools
- Maintain data privacy and security standards during analysis
- Optimize query performance on large-scale transactional datasets
- Assist in scoping new process intelligence engagements
- Translate client requirements into technical analysis plans
- Evaluate the impact of process changes over time
- Integrate machine learning methods where applicable to enhance process insights
- Support change management by providing evidence-based process diagnostics
- Contribute to thought leadership in process optimization
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid working model with flexibility
Team
Collaborative team focused on digital transformation and process optimization
Why This Role Matters
Organizations are increasingly relying on process intelligence to uncover hidden inefficiencies and drive digital transformation. This role sits at the intersection of data science and business operations, enabling measurable improvements in how companies function.
Our Approach
We combine technical expertise with deep business understanding to deliver actionable insights. Our teams work hand-in-hand with clients to ensure that data findings lead to real-world process enhancements and sustainable outcomes.
Available for qualified candidates
