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The Data Cloud Analyst role at NTT DATA involves leading data ingestion, modeling, and harmonization to create a unified customer view. Candidates should have over 8 years of experience in data and analytics, particularly with Salesforce Data Cloud. Strong analytical skills and the ability to collaborate with various teams are essential. Salesforce certifications are preferred. This position offers opportunities to work with advanced analytics and AI use cases.
Job Responsibility:
Lead the implementation and configuration of Salesforce Data Cloud, including data ingestion, harmonization, and segmentation
Design and manage data models and mappings to support a unified customer view
Enable Agentforce and AI use cases by ensuring Data Cloud is properly structured, enriched, and efficient
Partner with CRM, analytics, and integration teams to ingest data from internal and external sources (CRM, marketing platforms, third-party data providers, etc.)
Define and manage calculated insights, data transformations, and segmentation logic within Data Cloud
Collaborate with business stakeholders (Sales, Marketing, Medical, Global) to translate use cases into data requirements
Ensure data quality, governance, and compliance within Data Cloud
Support testing, validation, and deployment of Data Cloud-enabled capabilities across markets
Monitor Data Cloud performance, usage, costs, and consumption-based metrics
Act as a subject matter expert for Data Cloud, advising IT leadership on roadmap implications, dependencies, and best practices
Work closely with Salesforce and System Integrators to adopt new Data Cloud and AI features as they become available
Data evaluation focused on quality and ability to support aligned organizational goals
Requirements:
8+ years of experience in data, analytics, or CRM-related roles (e.g., Data Analyst, CRM Analyst)
Have been part of at least one Salesforce Data Cloud implementation
Hands-on experience with Salesforce CRM and data-related components
Strong understanding of data integration concepts, including APIs, batch ingestion, real-time data flows, and data transformation
Experience working with customer data platforms, data lakes, or similar customer data orchestration solutions
Proven ability to translate business use cases into data and analytics solutions
Strong analytical skills with experience in data modeling and data quality management
Experience working in regulated industries (pharma, life sciences preferred)
Excellent communication skills, able to collaborate with both technical and business stakeholders
Nice to have:
Salesforce certifications strongly preferred (Salesforce Certified AI Associate, Salesforce Certified AI Specialist, Salesforce Certified Platform App Builder, Salesforce Certified Integration Architecture Designer, Salesforce Certified Data Cloud Consultant)
Experience supporting AI, predictive analytics, or next best action use cases