Analyst, Marketing Analytics & Audience Insights

Position: Staff Analyst, Marketing Analytics & Audience Insights
Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, Service Now is the AI control tower for business reinvention. Our Service Now AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500 work smarter, faster, and better.

We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

About the role

Marketing at Service Now runs on two things: knowing whether our programs are working, and knowing who to target next. This role owns both. You are the analytical engine behind how leadership measures performance and how marketers build and activate their audiences, from the logic that defines a segment to the pipeline numbers in a VP review.

This is a senior individual contributor role at the intersection of B2B marketing strategy and rigorous data work. You set the direction, do the work, and raise the bar across the team without managing people. You sit at the center of a wide stakeholder group (marketers, sales, Rev Ops, product marketing, and data engineering), and your job is to keep the data they rely on trustworthy, well-defined, and actually used.

Success looks like a marketing org that trusts the numbers and acts on them with confidence.

Key responsibilities

* Own program performance measurement. Build and run recurring reviews tracking coverage, engagement, and pipeline contribution by solution and geo, from raw data through to the 'so what' for VP and SVP audiences.

* Drive buying group analytics. Measure coverage, engagement, and progression across solutions. Track role composition to surface gaps and expansion opportunities, and translate findings into account targeting and One Teams strategy.

* Own audience segmentation end to end. Translate targeting requirements and campaign objectives into the account and contact dataset that powers dashboards and campaigns. Set and defend the logic for how audiences get built, prioritized, and refreshed, and surface the insights that shape go-to-market decisions.

* Bridge marketing intent and data reality. Understand what a campaign is trying to accomplish, then build the segments and measurement that serve that goal, not just what's easy to query.

* Present to senior leadership. Compress complex analyses into clear narratives for VP and SVP stakeholders. You're in the room to drive a decision, not just deliver a deck.

* Partner closely with data engineering. Translate ambiguous stakeholder questions into clear specs for pipelines, refresh cycles, and dashboards, and hold the standard for what 'done' looks like.

* Steward the data responsibly. Maintain a clean, well-defined, and compliant audience dataset. Work within privacy guardrails, enforce no-PII activation standards, and keep the dataset trustworthy as accounts and ownership evolve.

* Be the source of truth for marketing data. Own and defend the definitions, write the documentation, and enable stakeholders so the dataset is used correctly, not misread or misapplied.

Qualifications

Minimum qualifications

* B2B marketing background (non-negotiable). You've worked in or alongside marketing and understand how demand gen, campaigns, and targeting actually work. You know what a marketer needs from data, not just how to query it.

* Senior IC operator. Roughly 10+ years in marketing analytics, marketing operations, or audience/GTM insights. You scope and run work independently without a manager directing it.

* Strong analytical skills. Fluent in SQL and the modern marketing data stack. You build and maintain segmentation logic, not just report off someone else's.

* Stakeholder range. You can talk strategy with a VP and table-level detail with a data engineer in the same hour, and translate cleanly in both directions.

* AI fluency. Experience integrating AI into work, decision-making, or problem-solving, whether through…