Senior Marketing Analytics Manager

Circle Internet Financial•San Francisco, CA

3d•Remote

About The Position

Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com . What you’ll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. What you’ll be responsible for: As the Senior Marketing Analytics Manager, you will lead the evolution of Circle’s marketing analytics function from manual reporting to scalable, self-serve, AI-powered insights – delivering trusted, actionable insights that drive decision-making across the organization. In this hands-on, individual contributor role, you will leverage AI and predictive models to surface forward-looking insights and learning loops, while ensuring clean, enriched data to support accurate reporting and segmentation. In this role, you’ll work cross-functionally with channel leads, Revenue Analytics, and Data Science to ensure alignment on KPIs and consistent data usage. You’ll play a critical role in shaping how marketing performance is understood and acted on at Circle — driving a culture of data fluency, accountability, and continuous improvement.

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.

Nice To Haves

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.

Responsibilities

Establish clear links between marketing activity, team OKRs, and business outcomes, ensuring reporting frameworks support accountability and decision-making.
Partner closely with channel, project, and campaign owners to define success metrics,align performance measurement with strategic goals, and build out automated reporting.
Lead the development and scaling of self-serve dashboards and AI-powered analytics, including predictive models and prompt-generated reporting.
Translate marketing goals into actionable data strategies that align with revenue and customer outcomes.
Collaborate with Revenue Analytics, Data Science, and our centralized AI team to ensure consistency and accuracy across reporting systems.
Proactively drive improvements in marketing attribution models to better assess influence on pipeline and revenue.
Drive improvements in measuring marketing effectiveness at the brand awareness level, including sentiment, search trends, and competitive insights.
Maintain high standards of data hygiene and leverage enrichment tools to create complete profiles of target accounts and inbound leads.
Mentor analytics specialists and collaborators, fostering a culture of experimentation and continuous improvement.

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