Overview
Project description
This business case unifies key initiatives to modernize NPS data, analytics, and AI capabilities by integrating media, trade, and operational datasets into a consistent, high-quality ecosystem that improves ROAS, strengthens trade performance visibility, and expands LogiCart AI adoption. The program enhances financial and commercial decision-making through a single source of truth for trade spend, better forecasting, scalable AI ingestion, and transparent performance metrics, while improving supply-chain insights through test-and-learn models and broader data availability. Additionally, it automates NPS data validation to boost data quality, reduces operational risk through IT throughput improvements, and establishes a scalable foundation for future CDP, analytics, and AI use cases across Marketing, Sales, Finance, and Supply Chain.
Responsibilities
Work with NPS Business team to gather business requirements
Analyze business requirements
Communicate with business stewards to clarify requirements
Data Profiling, Data Exploration
Create logical data model and provide inputs for creating physical data models
Build Source to Target mapping, Technical Requirements, and partner with Data Engineering teams for implementation.
Explain data models and seek approvals from Data Architect
Follow Nestle data modeling standards
Conduct QA testing for the datasets
Assist UAT testing
Help IT developers to answer data model related questions
Follow SCRUM agile methodology (e.g. create update stories, update tasks, efforts estimations,
attend SCRUM ceremonies
Skills
Must have
Data Modeling, SQL, python, BI Reporting, Microsoft Azure services, Synapse, Databricks etc.
Readiness to work in EST timezone.
Nice to have
Data related certs
Other
Languages
English: C1 Advanced
Seniority
Lead
Bengaluru, India
Req. VR-121650
Data Modeling
HLS & Consumer industry
24/03/2026
Req. VR-121650