Job Title: Data Analyst
Company: HCLTech
Location: Bengaluru, Karnataka, India
Description:
HCLTech is hiring for Data Engineer with strong experience in Celonis Process Mining.




Experience: 5 to 10 years

Work location: Bangalore

Work mode: Hybrid




Job Description:




Technical Skills:




Process Mining Expertise: Hands-on experience with leading process mining platforms (e.g., Celonis, Signavio), with a focus on implementing dashboards, execution apps, and automation workflows.
Data Engineering & Integration: Familiarity with data integration techniques and tools, including ETL (Extract, Transform, Load) processes and data warehousing concepts.
Enterprise Applications & Data Structures: Familiarity with business applications such as SAP (S/4HANA, ECC), Ariba, ServiceNow, Salesforce, including data structures, tables, and integration points.
Cloud & Big Data Processing: Experience with cloud platforms (e.g., AWS, Google Cloud, Azure, Salesforce Data Cloud) and Databricks for large-scale data processing and analytics.
Knowledge Layers & Graphs: Exposure to Knowledge Layers/Knowledge Graphs and tools like Neo4j, Amazon Neptune, Stardog for structured business context integration.
AI-Driven Techniques: Experience supporting AI-powered process mining solutions, including predictive analytics, NLP, and machine learning.
Data Analytics Skills: Strong capabilities in data analytics, including experience with SQL, Python, or R for data manipulation and analysis.
BI & Visualization: Proficiency in Power BI, Tableau, or similar tools for effective data visualization and reporting.
Version Control & Collaboration: Experience using GitHub for version control, collaboration, and CI/CD processes.
Automation Technologies: Knowledge of automation tools and technologies, such as Robotic Process Automation (RPA), and experience in identifying automation opportunities.




Process Optimization & Agile Development:




Exposure to Agile methodologies (Scrum, Kanban) and practical experience with Azure DevOps for backlog management and CI/CD pipelines.
Understanding of Business Process Management (BPM) methodologies such as KAIZEN or Lean Six Sigma.
Project Management: Familiarity with project management methodologies (e.g., Agile, Scrum, Waterfall) to ensure effective project execution.
Change Management: Experience in change management practices and methodologies to support successful transitions to new processes

Soft Skills & Collaboration:




Team Collaboration: Ability to work collaboratively with the Process Mining CoE and other stakeholders, fostering collaboration and shared goals.
Problem-Solving Skills: Strong analytical and problem-solving abilities to address complex process challenges and develop innovative solutions.
Communication Skills: Excellent verbal and written communication skills to facilitate stakeholder engagement and present findings effectively.
Adaptability: Willingness to adapt to changing project requirements and priorities while maintaining focus on delivering on time high-quality results.

Desirable Extras




Process Mining Certifications: Celonis Certified Data Engineer (CCDE)
Databricks Certified Data Engineer Associate







Interested candidates can share your resume to nirmala_k@hcltech.com




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