Process Mining - Chennai - Virtusa

    Virtusa
    Virtusa Chennai

    1 day ago

    Full time
    Description

    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.

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