Product and Process Intelligence Analyst

OneOrigin; Bengaluru; On-site; INR 600,000 - 1,000,000; Full time

Job summary

OneOrigin in Bangalore is seeking a Product and Process Intelligence Analyst to convert operational knowledge into actionable AI-driven insights for higher education institutions.

Fresher to 1 year candidates will translate rules, document handovers, and collaborate with product and implementation teams to improve extraction, mapping, and reusable rules, while measuring impact and reducing manual effort.

Qualifications

• Analytical thinking and ability to document clearly.
• Comfort with structured data and AI tools.
• Ability to question assumptions and validate outputs.

Responsibilities

• Group recurring corrections and investigate their underlying causes.
• Translate institution rules and operational knowledge into requirements, validation checks and test cases.
• Work with product and implementation teams to improve extraction, mapping and reusable rules.
• Measure whether changes reduce errors and manual effort.
• Maintain clear handover notes so the same problems are not repeatedly rediscovered.

Skills

Analytical thinking

Documentation

Structured data

AI tools

Tools

AI tools

Job description

Product and Process Intelligence Analyst

OneOrigin , where innovation meets imagination ! Based in Scottsdale, AZ and Bangalore, India, we’re on a mission to harness the power of AI to transform the way Higher Education institutions operate. Our cutting-edge software solutions streamline administrative processes, enhance student engagement, and empower data-driven decision-making. Whether it’s automating tasks, providing actionable insights, or improving learning outcomes, we make AI accessible and impactful for colleges and universities. #LI-Onsite

Fresher to 1 year one should turn operational learning into reusable product improvements.

• Group recurring corrections and investigate their underlying causes.
• Translate institution rules and operational knowledge into requirements, validation checks and test cases.
• Work with product and implementation teams to improve extraction, mapping and reusable rules.
• Measure whether changes reduce errors and manual effort.
• Maintain clear handover notes so the same problems are not repeatedly rediscovered.

Profile: analytical thinking, clear documentation, comfort with structured data and AI tools, and the ability to question assumptions and validate outputs.
Success: recurring issues eliminated, manual effort reduced and improvements verified across applicable customers.