Analyst, Media Analytics

## Analyst, Media Analytics Apply remote type:
Office
- Flexible locations:
Washington
- Seattletime type:
Full time posted on:
Posted Todayjob requisition :
JR347968
* To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
* Job Category Marketing & Communications Job Details
**** About Salesforce
**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.##
**** Overview
* ***** The Media Intelligence team at Salesforce is seeking a highly analytical, technically skilled, and business-oriented Analyst to lead the Audience & Intent Analytics workstream. This role sits at the intersection of paid media, audience strategy, analytics engineering, dashboard development, and stakeholder enablement.
**** This individual will own the measurement framework and reporting ecosystem used to evaluate how audience targeting, segmentation, and intent strategies influence marketing performance across the funnel. The role expands Media Intelligence’s capabilities beyond traditional campaign reporting by helping the organization better understand
* who* we target,
* why* we target them, and
* how those audiences perform over time*.
**** The ideal candidate is equal parts analyst, dashboard developer, strategist, and communicator — someone who can work comfortably across complex datasets, translate insights into actionable recommendations, and partner effectively with both technical and non-technical stakeholders.
**** This role requires strong Tableau and SQL skills, experience working with audience or intent data, comfort operating in ambiguous environments, and the ability to drive scalable analytics solutions that influence strategic decision-making.**##
**** What You’ll Do****###
**** Audience Analytics & Performance Insights
****** Lead the Audience Analytics workstream within Media Intelligence, focused on measuring, analyzing, and optimizing how paid media audiences are defined, activated, and perform across the marketing funnel.
***
* Responsibilities include:

**
* ** Analyze audience performance across regions, clouds, industries, segments, personas, and journey stages.**
* ** Develop measurement frameworks that connect audience membership and targeting strategies to downstream business outcomes such as responses, MQLs, pipeline, and revenue influence.**
* ** Evaluate audience composition, saturation, engagement, and targeting effectiveness across paid media programs.**
* ** Conduct segmentation and cohort analyses to identify trends, opportunities, and optimization recommendations.**
* ** Support personalization and audience strategy initiatives through data-driven insights.**
* ** Partner with Paid Media, Audience Strategy, and regional stakeholders to evaluate targeting performance and refine segmentation approaches.**
* ** Translate complex analyses into clear, actionable business recommendations for marketing stakeholders and leadership.**###
**** Audience Lifecycle Measurement
****** Own analytics related to the full audience lifecycle, including:**
* ** Audience creation and onboarding**
* ** Audience activation and deployment**
* ** Engagement and performance measurement**
* ** Funnel progression and downstream conversion analysis**
* ** Audience optimization and refresh strategies
**** Key areas of analysis may include:**
* ** Engagement by audience segment or persona**
* ** Content and channel effectiveness by audience**
* ** Account saturation and audience overlap analysis**
* ** Deal size, velocity, and sales cycle characteristics by audience**
* ** Audience contribution to pipeline and…