Skan AI - Process Data Consultant

Key Responsibilities :

Solution Delivery & Customer Engagement.

• Lead full-cycle implementations-requirements gathering, process mapping, deployment planning, and execution.

Configure and operationalize Skan.ai solutions, ensuring smooth integration with customer environments and alignment with business goals.

• Serve as the primary technical contact and product expert, providing proactive guidance, timely support, and issue resolution.
• Collaborate with internal teams (Product, Engineering, Sales, Customer Success) to deliver projects on time, with clear ownership of milestones and deliverables.
• Present insights and recommendations to stakeholders through reports, dashboards, and executive briefings.
• Act as a Subject Matter Expert (SME), enabling customer Centers of Excellence (COEs) and partners through training and knowledge sharing.

Data Analysis & Troubleshooting.

• Analyze process data to identify trends, inefficiencies, and opportunities for improvement.
• Conduct root cause analysis using advanced data analytics, log analysis, and process -insights.
• Proactively monitor system performance, troubleshoot issues, and manage escalations to ensure minimal disruption.
• Partner with Product and Engineering teams to resolve technical challenges and improve solution robustness.

Documentation & Knowledge Sharing.

• Maintain detailed documentation of configurations, requirements, and process maps to support scalability and knowledge transfer.
• Collaborate with customer SMEs to validate insights and ensure outcomes align with business objectives.
• Stay up to date on emerging technologies, industry trends, and best practices in process intelligence and data analytics.

Qualifications & Skills.

• Education : Bachelor's degree in engineering, Data Science, or related field.
• Experience : 5+ years in consulting, process improvement, ideally with process intelligence, - process mining, RPA, or BPM tools.
• Strong data analysis and interpretation skills (statistics, validation, reporting).
• Hands-on experience with IT systems (Windows, Linux), and basic web technologies (HTML, CSS).
• Business Skills : Proven ability to translate process data into actionable insights that align with business objectives.

(ref : iimjobs.com)