Director, B2B Data Strategy & Revenue Analytics

New
United StatesFull-TimeDirector
Salary140,000 - 160,000 USD per year
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Job Details

Required Skills
SQLSalesforceHubSpot

Requirements

  • Extensive experience in B2B marketing analytics, revenue analytics, marketing operations, or data strategy roles.
  • Strong expertise in designing measurement frameworks that connect marketing activity to pipeline and revenue outcomes.
  • Deep hands-on experience with Google Tag Manager and digital tracking implementation.
  • Strong knowledge of GA4 and modern web analytics platforms.
  • Proven experience working with CRM and marketing automation platforms such as Salesforce, HubSpot, Marketo, or Pardot.
  • Solid understanding of campaign taxonomy, UTMs, attribution models, lead routing, and conversion tracking.
  • Ability to troubleshoot across technical, operational, and data layers.
  • Strong collaboration skills.
  • Strong analytical mindset with high attention to detail.

Responsibilities

  • Own end-to-end measurement strategy for B2B marketing impact across pipeline, attribution, and revenue reporting.
  • Design and enforce data governance frameworks across tagging, tracking, UTM structures, campaign taxonomy, and CRM/marketing automation integrations.
  • Lead implementation and QA of digital tracking systems, ensuring accurate event capture, dataLayer consistency, and reliable downstream data flow.
  • Partner with marketing, sales operations, analytics, and engineering teams to ensure clean data synchronization across CRM, marketing automation, and advertising platforms.
  • Build scalable QA processes to detect and resolve breakdowns in tracking, ingestion, attribution, and reporting before they impact business decisions.
  • Investigate and resolve data discrepancies across leads, pipeline, and revenue attribution by identifying and fixing root-cause issues.
  • Translate business and marketing needs into structured measurement requirements, data models, and operational standards.
  • Develop documentation and governance frameworks for tracking, campaign setup, field definitions, and reporting logic.
  • Enable leadership visibility into data quality, measurement limitations, and attribution confidence.
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140,000 - 160,000 USD per year
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