Arctic Wolf Networks

Marketing Performance Analyst

USA (Remote)

$54K/yr – $205K/yrMid Level2+ years expFull time

Posted 4 weeks ago

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Job Summary

Own the marketing analytics stack end to end, turning dashboards into decision data for funnel health, channel mix, and revenue forecasts.

  • Dashboard & Analytics Ownership: design and maintain marketing performance dashboards across the full funnel for marketing, sales, and executives.
  • Funnel Optimization & Attribution: track MQLs to pipeline, identify bottlenecks, and refine attribution models to guide spend and content planning.
  • Forecasting & Planning Support: build predictive models with finance/RevOps to inform quarterly and annual plans.

Job Description

  • Build and Maintain Marketing Performance Dashboards
  • Design, build, and manage comprehensive dashboards in tools like Tableau, Power BI, or Looker to visualize key metrics across the full marketing funnel.
  • Ensure dashboards are user-friendly, automated, and aligned with business goals for easy consumption by stakeholders across marketing, sales, and executive leadership.
  • Manage and update the core artifacts that the marketing leadership team use to run the business and report on performance to the rest of the go-to-customer organization
  • Analyze Marketing Funnel Performance
  • Track and interpret key funnel metrics including lead volume, MQLs, SQLs, pipeline creation, opportunity velocity, and closed-won revenue.
  • Identify conversion bottlenecks and provide data-backed recommendations to improve funnel health and efficiency.
  • Campaign and Channel Effectiveness Analysis
  • Evaluate the performance of marketing campaigns across digital, events, email, partner, and ABM channels.
  • Analyze marketing spend effectiveness across channels, campaigns, and segments
  • Work closely with field and global demand teams to align reporting and actionable insights with business goals
  • Marketing Attribution & ROI Measurement
  • Support the implementation and refinement of attribution models (first-touch, last-touch, multi-touch, W-shaped, algorithmic) to measure the influence of marketing on pipeline and revenue.
  • Deliver insights that influence channel mix, investment strategies, and content planning.
  • Forecasting and Planning Support
  • Use historical data and predictive analytics to build models that forecast MQLs, pipeline generation, and marketing-sourced revenue.
  • Partner with finance and RevOps to support quarterly and annual planning processes with accurate, data-driven projections.