Sales Data Analyst

Your tasks

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

Experience with Salesforce data models, schema design concepts, object relationships, field definitions, validation rules, and reporting impacts.

Experience with data quality tools, data profiling, duplicate management, monitoring, issue tracking, and remediation workflows.

Knowledge of data migration and ETL concepts, including mapping, transformation, cleansing, enrichment, validation, and cutover support.

Knowledge of Salesforce Data Cloud fundamentals and how stewardship decisions affect identity resolution, segmentation, reporting, and AI readiness.

Experience using SQL, Excel, reporting, or analytical tools to profile data, investigate quality issues, and validate remediation.

Knowledge of data privacy, security, compliance, access control, and audit support concepts.

Strong analytical thinking, attention to detail, and discipline in documenting decisions and standards.

Experience collaborating across business and technical teams, with the ability to explain data concepts to non-technical stakeholders.

Ability to resolve conflicts when data standards, field definitions, or ownership expectations differ across teams.

Demonstrated process orientation and follow-through on issue remediation, migration readiness, and quality improvement actions.

Ability to escalate risks clearly and constructively through governance channels when standards or delivery outcomes are at risk.

Salesforce Data Cloud certification required.

Certification in Salesforce Administrator, Platform App Builder, data quality, MDM, analytics, or business analysis.