Circle

Senior Marketing Analytics Manager

Circle

full-time

Posted on:

Location Type: Remote

Location: Remote • Arizona, California, Illinois, Utah • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $160,000 - $207,500 per year

Job Level

Senior

Tech Stack

BigQueryPythonSQLTableau

About the role

  • Lead the evolution of Circle’s marketing analytics function from manual reporting to scalable, self-serve, AI-powered insights.
  • Deliver trusted, actionable insights that drive decision-making across the organization.
  • Leverage AI and predictive models to surface forward-looking insights and learning loops.
  • Ensure clean, enriched data to support accurate reporting and segmentation.
  • Work cross-functionally with channel leads, Revenue Analytics, and Data Science to ensure alignment on KPIs and consistent data usage.
  • Establish clear links between marketing activity, team OKRs, and business outcomes.
  • Partner closely with channel, project, and campaign owners to define success metrics.
  • Lead the development and scaling of self-serve dashboards and AI-powered analytics.
  • Collaborate with Revenue Analytics, Data Science, and our centralized AI team to ensure consistency and accuracy across reporting systems.
  • Drive improvements in measuring marketing effectiveness at the brand awareness level.

Requirements

  • 10+ years of experience in marketing analytics, business intelligence, or revenue operations.
  • Deep expertise in marketing attribution, campaign performance measurement, and funnel analytics.
  • Strong SQL skills with the ability to independently query, manipulate, and analyze large datasets.
  • Ability to translate complex data into strategic recommendations for non-technical stakeholders.
  • Strong proficiency in data and BI tools such as Snowflake, Superset, Bigquery, and Tableau or Looker.
  • Experience with marketing tools including Google Analytics, Hubspot, and Webflow.
  • Experience deploying AI tools for analytics use cases such as predictive modeling or prompt-based reporting.
  • Proficiency in Python for advanced data manipulation, modeling, or automation workflows.
  • Familiarity with brand awareness metrics, sentiment analysis, and competitive intelligence tracking.
  • Background in B2B or fintech environments with multi-touch marketing strategies.
Benefits
  • Equal opportunity employer
  • Inclusive workplace

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
marketing analyticsbusiness intelligencerevenue operationsmarketing attributioncampaign performance measurementfunnel analyticsSQLdata manipulationPythonpredictive modeling
Soft skills
strategic recommendationscross-functional collaborationdata-driven decision makingcommunication with non-technical stakeholders