Senior Analyst Salesforce Data Steward
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Analysis
In short
Responsibilities
- 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
- Collaborate with Integration leads to validate data flow integrity, transformation rules, source-of-truth decisions, and downstream reporting impacts
- Partner with the Data Cloud Hygiene Manager on compliance reporting, audit support, data retention considerations, masking requirements, and quality improvement initiatives
- Support business readiness by explaining standards, training users, documenting expectations, and reinforcing stewardship practices
- Escalate unresolved data conflicts, quality risks, or standards exceptions through the appropriate governance forums
Requirements
- 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
Desired Qualifications
- Salesforce Administrator, Platform App Builder, data quality, MDM, analytics, or business analysis certifications valued
- Manufacturing or industrial data management experience
- Salesforce-to-ERP data synchronization experience
- Master Data Management background or exposure to enterprise customer/master data programs
- Multi-org Salesforce data governance experience
- Experience supporting Salesforce data migration, consolidation, enrichment, or global template programs
- Bachelor's degree required in Information Systems, Business, Data Management, Analytics, Engineering, or a related field
- 5+ years of experience in data management, data stewardship, data quality, business analysis, data migration, or enterprise systems roles
- Experience working with Salesforce data models, field governance, data migration, data quality controls, or CRM data operations
- Ability to document clear data standards, definitions, rules, requirements, and issue-resolution processes
- Strong analytical, communication, and collaboration skills with attention to detail and process discipline
- Approximately 10-20% travel (global)
Benefits
- Competitive benefits plans
- Variety of medical insurance plans
- Employee Assistance Program
- Employee resource groups
- Recognition
- Flexible time off plans
- Paid parental leave (maternal and paternal)
- Vacation and holiday leave
- Mentorship
- Training
- Leadership opportunities
Skills
Emerson is a leading global technology, software, and engineering company providing innovative solutions for customers in industrial and commercial markets. We help customers in the world’s most essential industries solve the biggest challenges of modern life. Every day, our global workforce fulfills our unified Purpose and lives out the Values we hold close as an organization: Integrity, Safety & Quality, Support Our People, Customer Focus, Continuous Improvement, Collaboration, and Innovation. Across the globe, we are united by a singular Purpose: We drive innovation that makes the world…
Company
EmersonJob Posted
4 days ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Senior
Locations
Cluj-Napoca, Romania
Qualification
Applicants
Be an early applicant
