About The Position

We are seeking a Senior Measurement & BI Architect to act as the analytical engine of the marketing department. In this role, you will be the primary architect of our data strategy, bridging the gap between raw data and executive insight. You won't just report on "what happened"; you will build the models that tell us "what will happen next" and "what we should do about it."

Requirements

  • 6-8 years in Marketing Analytics, Data Science, or Business Intelligence.
  • Expert proficiency in SQL, Python/R, and visualization tools like Looker.
  • Experience implementing or managing Data Cloud environments (e.g., Salesforce Data Cloud).
  • Ability to translate complex data sets into clear, actionable business narratives for leadership.

Responsibilities

  • Data Cloud Architecture: Lead the integration of marketing data across the Data Cloud (e.g., Salesforce Data Cloud, ensuring a "Single Source of Truth" that connects Web, CRM, and MAP data. Advise on and oversee all marketing data initiatives.
  • Prescriptive Analytics: Move beyond dashboards to provide "The So What." You will deliver prescriptive insights that recommend specific actions based on performance trends.
  • Design, build, and maintain executive-level dashboards and performance metrics that provide a "single source of truth" for the marketing organization and leadership.
  • Advanced Attribution (MTA & MMM): Lead the development of Multi-Touch Attribution and Media Mix Modeling to prove the incremental value of marketing spend, moving the organization away from simplistic "last-click" models.
  • Predictive Modeling: Build and deploy models for lead scoring, churn prediction, and customer lifetime value (CLV) to help the team focus on the highest-value opportunities.
  • Execute standard marketing measurement responsibilities, including attribution modeling, funnel velocity analysis, and ROI reporting to identify key insights that will inform and guide our marketing optimization strategies
  • Data Integrity: Team & Vendor Oversight
  • Mentorship: Manage and guide one dedicated Data Analyst, ensuring the accuracy and consistency of daily reporting outputs.
  • Vendor Management: Oversee relationships with external data vendors and agencies, ensuring they deliver on SLAs and provide high-quality data inputs.

Benefits

  • health & wellness plans
  • 401(k) retirement coupled with a Nielsen match
  • a generous paid time off policy
  • company provided car for those who qualify
  • a discretionary incentive/bonus
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