Process Mining

Process Mining Specialist Experience Level 5-6 years overall experience (1-3 years relevant in Process Mining/Data & Analytics) Key Responsibilities As a Process Mining Specialist, you will: Data Integration & Transformation: Identify and connect to various data sources (API, data warehouses, data lakes), and implement data extractions and transformations using SQL and Python. Modeling & Visualization: Create data models, process knowledge models, and build analytics views and dashboards using PQL (Process Query Language). Workflow Automation: Develop automated workflows using low-code language on the Process Mining platform to facilitate proactive process interventions. Process Insight Delivery: Support Process Mining Consultants in delivering process insights and addressing key business questions about processes. Visualization: Produce visualizations to communicate process data effectively using a data visualization tool. Mandatory Skills & Experience Technical Proficiency: Experience working with relational databases using SQL queries . Experience in producing visualizations to communicate process data effectively in a data visualization tool. Experience with source code version control and issue tracking (e.g., Bitbucket, JIRA, Confluence). Hands-on experience in a Process Mining Tool (Celonis, UiPath, QPR, Minit etc.) will be a strong advantage. Python programming skills are appreciated but not required. Experience & Qualifications: 5-6 years of overall experience , with 1-3 years of relevant working experience on Process Mining or Process Data & Analytics projects. Degree in Computer Science, Business Informatics, Economics or a comparable degree. Knowledge of at least 1 functional area process (Finance, HR etc.) and related Source System datasets will be appreciated. Essential Professional Skills Analytical skills to discover, analyze, and draw insight from complex datasets. Excellent communication skills to work with stakeholders daily. Energetic, organized, and self-motivated .