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

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