Data Cloud Analyst

Working closely with CRM, analytics, integration, and business teams, the role translates business needs into scalable data solutions that support Agentforce and advanced analytics. 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 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 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