The Process Manager oversees QA processes, designs data models, validates data capture, maintains data pipelines, investigates inconsistencies, and collaborates with teams to ensure data accuracy.
- Own end-to-end QA processes by proactively defining test scenarios, validating data logic, and ensuring high data quality
- Design and implement event-level data models including clickstream analysis, sessionization, and user stitching
- Validate tracking and instrumentation to ensure accurate data capture across platforms
- Build and maintain scalable, reliable, and maintainable data pipelines
- Identify data inconsistencies, investigate root causes, and provide actionable solutions
- Collaborate with cross-functional teams (Product, Engineering, Analytics) to ensure data accuracy and usability
- Clearly communicate data findings, issues, and insights to both technical and non-technical stakeholders
- Operate effectively in an offshore model with high ownership and accountability
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
