Senior Analyst Salesforce Data Steward

• Lead assigned data workstream activities and coordinate with the Core Team to ensure Salesforce data requirements are understood, prioritized, delivered, validated, and documented
• Translate business process needs into clear data requirements, field definitions, validation expectations, migration rules, and acceptance criteria
• Support data migration, cleansing, enrichment, deduplication, validation, and cutover readiness activities across implementation waves
• Coordinate data issue triage, root-cause analysis, ownership assignment, remediation tracking, and closure reporting
• Maintain data dictionaries, field inventories, decision logs, standards documentation, and stewardship artifacts for assigned domains

• Ensure assigned Salesforce data remains aligned to data quality, data security, data compliance, and global reporting standards
• Serve as arbiter for data model, field, and definition changes that impact global standards, reporting definitions, integrations, or cross-Business Group consistency
• Define and enforce data standards, naming conventions, field-level governance rules, required values, ownership rules, and quality thresholds
• Monitor data quality metrics, identify recurring issues, and drive remediation with business owners, technical teams, and Data Cloud Hygiene leadership

• Salesforce data model, schema design concepts, object relationships, field definitions, validation rules, and reporting impacts
• Data quality tools, data profiling, duplicate management, monitoring, issue tracking, and remediation workflows
• Data migration and ETL concepts, including mapping, transformation, cleansing, enrichment, validation, and cutover support
• Salesforce Data Cloud fundamentals and how stewardship decisions affect identity resolution, segmentation, reporting, and AI readiness
• SQL, Excel, reporting, or analytical tools used to profile data, investigate quality issues, and validate remediation
• Data privacy, security, compliance, access control, and audit support concepts

• Analytical thinking, attention to detail, and discipline in documenting decisions and standards
• Collaborative approach across business and technical teams, with the ability to explain data concepts to non-technical stakeholders
• Conflict resolution skills when data standards, field definitions, or ownership expectations differ across teams
• Process orientation and follow-through on issue remediation, migration readiness, and quality improvement actions
• Comfort escalating risks clearly and constructively through governance channels when standards or delivery outcomes are at risk

• Salesforce Data Cloud certification required
• Salesforce Administrator, Platform App Builder, data quality, MDM, analytics, or business analysis certifications valued

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.

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