Product and Process Intelligence Analyst

OneOrigin Inc.; Bengaluru; Sur place; INR 600 000 - 900 000; Plein temps

Résumé du poste

OneOrigin Inc. in Bengaluru (Bangalore) seeks a Product and Process Intelligence Analyst to turn institutional knowledge into measurable requirements and test cases. You’ll translate rules, validate data quality, and work with product and implementation teams to improve extraction, mapping and reusable rules.

Fresher to 1 year candidates are welcome; the role focuses on analyzing and documenting processes, reducing recurring errors, and proving improvements across customers.

Qualifications

• Analytical thinking with clear documentation and structured data handling.
• Ability to question assumptions and validate outputs.

Responsabilités

• 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.

Connaissances

Analytical thinking

Documentation

Structured data

AI tools

Question assumptions

Description du poste

Product and Process Intelligence Analyst

About this position

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.