About the role We're looking for a Marketing Operations Analyst to join our RevOps team. You'll own the full marketing operations and analytics stack — conversion tracking, HubSpot workflows, lead lifecycle management, and attribution modeling. You'll work at the intersection of marketing data and revenue processes, ensuring our systems reflect reality and our team can move fast on the right insights. This role takes on high-priority work currently bottlenecking the team and serves as the operational backbone for analytics, audience building, and marketing automation. What you'll do Marketing analytics & tracking Set up and maintain conversion tracking across GA4, Mixpanel, GTM, paid pixels, and HubSpot Analyze website traffic, user behavior, SEO performance, and campaign ROI Build and maintain dashboards for Paid, SEO, and revenue funnel analysis Monitor lead generation metrics — MQLs, SQLs, and conversion paths across the funnel Revenue operations & lead management Manage HubSpot lead routing, audience lists, workflows, and automation Maintain and improve lead enrichment and validation pipelines (Clay → HubSpot → Salesforce) Handle email validation, lead scoring, and list hygiene Communicate effectively across the revenue cycle — from first touch to closed deal Website & experimentation Set up A/B tests and manage their analytics layer Configure events, data layers, and custom scripts for tracking Analyze traffic anomalies and bot/crawler activity Work with experimentation tools such as VWO Marketing attribution Maintain and improve attribution models (first-touch, last-touch, linear) Perform manual attribution of unattributed opportunities Calculate and report on marketing and sales cost efficiency

Requirements

Must-have 2+ years in marketing analytics, marketing operations, or a RevOps-adjacent role Strong HubSpot proficiency — workflows, automation, audience building, lead routing Hands-on experience with GA4, Google Tag Manager, and conversion tracking Solid understanding of the B2B SaaS lead lifecycle (MQL → SQL → Opportunity → Revenue) Working knowledge of SEO fundamentals and SEO analytics Experience with A/B testing tools and methodology Advanced English — written and verbal Availability to work US time zones (Eastern or Pacific) Strongly preferred SaaS industry background; US market experience is a plus Experience with Clay, Mixpanel, Microsoft Clarity, or VWO Familiarity with BI tools — Power BI, Looker, Tableau, or Superset Workflow automation experience (Make, Zapier, or similar) Nice to have Basic SQL or Python for ad hoc data pulls Google Analytics certification Experience with attribution modeling (first-touch, last-touch, linear, or custom)

What We Offer

Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement