Senior Process Mining Analyst

Job Description Position Title: Senior Data Analyst (Process Mining Mining Automation) Country: IndiaLocation:BangaloreBusiness Unit:Life ScienceDepartment:ACEVersion Date:09.01.2025Written by: Position Reports to: Regional Organization:Global We are seeking a talented Senior Data Analyst (Process Mining Mining Automation) with deep experience in Celonis / Palantir Process Mining and automation along with expertise in process automation tools. The ideal candidate will have strong analytical skills and will use process mining software to discover, analyse, and automate business processes. This role will involve extracting data from various systems, providing actionable insights, and driving optimization through automation and process improvement initiatives.Roles Responsibilities:Process Discovery Mapping: Leverage Palantir Process Mining tools to visualize, map, and analyze current business processes across multiple departments and systems (ERP, CRM, etc.).Data Integration Preparation: Work closely with IT and data engineering teams to extract event log data from systems like SAP, Oracle, Salesforce, or any other Merck enterprise platforms. Clean and prepare this data for analysis in process mining tools.Process Analysis Optimization: Use process mining insights to detect inefficiencies, bottlenecks, and deviations from expected workflows. Identify potential areas for process automation and improvement.Automation Strategy: Collaborate with automation teams to design and implement robotic process automation (RPA)Continuous Process Monitoring: Develop dashboards and real-time monitoring systems within Palantir, allowing stakeholders to track key metrics and performance indicators (KPIs). Ensure continuous tracking of process efficiency improvements.Insights Recommendations: Generate and present clear, actionable recommendations to stakeholders based on process mining data, aimed at reducing costs, improving process efficiency, and enhancing compliance.End-to-End Solutioning: Work closely with business units to implement recommended process improvements and automation solutions, ensuring minimal disruption and maximum value.Training Development: Act as a subject matter expert, training teams on process mining techniques, best practices, and the use of Palantir process mining and automate and other tools. Drive adoption of process mining methodologies across the organization.Required Skills Qualifications:Bachelor s or Master s degree in Computer Science, Data Science, Information Systems, Industrial Engineering, Business Analytics, or a related field.5+ years of experience in process mining, data analysis, or business process optimization.Proven expertise in Celonis/Signavio/Disco/ IBM Process Mining, Palantir Process Mining and automationExperience with data extraction and event log analysis from enterprise systems like SAP, Oracle, Salesforce, or equivalent ERP/CRM platforms.Data analytics experience with tools such as Power BI, Tableau, or Qlik for reporting and visualization of process insights.Proficiency in scripting languages (SQL, Python, or R) for data transformation and manipulation to prepare large datasets for process mining analysis.Experience with KPI tracking and real-time monitoring dashboards within process mining platforms.Strong communication skills for delivering technical insights to non-technical stakeholders and leading process improvement discussions.Experience working within Agile or Scrum environments on cross-functional teams.Preferred Qualifications:Palantir Process Mining and automation Certifications are highly preferred.Familiarity with AI/ML-based process optimization techniques.Exposure to Lean, Six Sigma, or other process optimization methodologies.Knowledge of SAP HANA, AWS, Snowflake, or other data warehousing platforms.Prior experience in managing process transformation projects or leading process automation initiatives is a plus.Knowledge of industries such as manufacturing, healthcare, and life science.Key Competencies:Analytical Thinking Problem SolvingData-Driven Decision MakingProcess OptimizationCollaboration CommunicationAdaptability Continuous LearningInitiative and Proactiveness