Job Details

Our client is seeking a Senior Marketing Analyst with deep expertise in Salesforce Data Cloud and advanced SQL to join a high-impact Marketing Analytics team within Business Messaging Marketing. This role is critical to scaling audience segmentation and enabling sophisticated, data-driven marketing campaigns reaching millions of customers. The ideal candidate is highly hands-on with audience signal development, Calculated Insights, and segmentation strategy, while partnering closely with Data Engineering to build scalable marketing data infrastructure.

Responsibilities & Qualifications

• Build and maintain advanced audience segments within Salesforce Data Cloud, including signal identification and Calculated Insights (SQL)
• Activate and operationalize segments into Salesforce Marketing Cloud (SFMC) and campaign systems
• Partner with Data Engineers to design and optimize data pipelines supporting audience systems and marketing analytics
• Develop automated reporting and scalable dashboards to track campaign performance and marketing KPIs
• Analyze large-scale datasets (millions of records) to inform audience strategy, segmentation, and revenue opportunity sizing
• Ensure data accuracy and proactively troubleshoot discrepancies across reporting and activation platforms
• Translate business objectives into technically sound audience definitions and support complex campaign builds
• Deliver actionable insights to improve targeting effectiveness and marketing ROI

• 7+ years of experience in marketing analytics, data engineering, data science, or related analytics roles
• Expert-level SQL skills including complex joins, CTEs, window functions, and query optimization across large datasets
• Hands-on experience with Salesforce Data Cloud (or similar CDPs), including segment creation and Calculated Insights
• Experience building audience signals and segmentation frameworks for enterprise-scale marketing campaigns
• Proven ability to collaborate with Data Engineering teams to build and maintain marketing data pipelines
• Strong experience with automated reporting and dashboard development (Tableau or similar tools)
• Advanced Excel/Google Sheets skills
• Basic Python experience for automation and API integrations
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders