Job Description

Senior Marketing Analyst - Salesforce Data Cloud & Audience Strategy
hybrid onsite out of New York or San Francisco or MPK


About the Role
We are seeking a Senior Marketing Analyst with deep expertise in Salesforce Data Cloud and advanced SQL skills to join our Marketing Analytics team within Business Messaging Marketing. This role is critical to building and scaling our audience segmentation capabilities, enabling data-driven marketing campaigns that reach millions of customers. The ideal candidate will be hands-on in building audience signals, creating complex segments in Salesforce Data Cloud, and partnering with data engineers to develop robust data pipelines for marketing reporting and insights.

Key Responsibilities
- Build and maintain audience segments in Salesforce Data Cloud, including signal identification, Calculated Insights (SQL), and activation to SFMC
- Partner with Data Engineers to design and build data pipelines that feed marketing reporting and audience systems
- Develop automated reporting solutions and self-service dashboards to track campaign performance and marketing KPIs
- Pull, clean, and analyze large datasets (millions of records) to deliver audience strategy, segmentation, and revenue opportunity sizing
- Ensure data quality and troubleshoot data discrepancies across audience and reporting systems
- Translate business requirements into technical audience definitions and partner with campaign managers on complex builds

Required Qualifications
- 7+ years of experience in marketing analytics, data engineering, data science, or a related analytics role
- Expert-level SQL skills: complex queries, CTEs, window functions, query optimization, and working with large datasets (millions of records)
- Hands-on experience with Salesforce Data Cloud (or similar CDPs) including segment creation, Calculated Insights, and activation workflows
- Experience building audience signals and audience segments for marketing campaigns
- Proven experience partnering with Data Engineers to build and maintain data pipelines
- Strong experience with report automation: scheduled reports, automated data refreshes, and self-service dashboards
- Proficiency in data visualization tools such as Tableau, Hive, or similar
- Advanced Google Sheets/Excel skills
- Basic Python skills for automation and API utilization
- Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders