Staff Analyst, Marketing Analytics & Audience Insights

ServiceNow•Denver, CO

2d•$114,200 - $199,800•Hybrid

About The Position

This role is responsible for measuring marketing program performance and identifying target audiences. It serves as the analytical engine for leadership's performance measurement and for marketers building and activating audiences. This is a senior individual contributor role at the intersection of B2B marketing strategy and data analysis. The position involves setting direction, performing analysis, and improving team standards without direct people management. The role requires collaboration with marketers, sales, RevOps, product marketing, and data engineering to ensure trustworthy, well-defined, and utilized data. Success is defined by a marketing organization that trusts and acts on data with confidence.

Requirements

B2B marketing background (non-negotiable), with experience in or alongside marketing, understanding demand generation, campaigns, and targeting.
Senior IC operator with approximately 10+ years in marketing analytics, marketing operations, or audience/GTM insights, capable of scoping and running work independently.
Strong analytical skills, fluent in SQL and the modern marketing data stack, with experience building and maintaining segmentation logic.
Ability to communicate effectively with VPs on strategy and with data engineers on technical details, translating cleanly in both directions.
AI fluency, including experience integrating AI into work, decision-making, or problem-solving through AI-powered tools, workflow automation, AI-driven insights, or critical thinking about AI's impact.

Nice To Haves

Familiarity with account-based marketing, buying group methodology, and TAL-based campaign planning.
Experience working with LLM tools, particularly Claude Code, to accelerate analysis, reporting, and prototyping.
Hands-on experience with a BI tool (Tableau or Power BI), a cloud warehouse (Snowflake), and the CRM/martech stack (Salesforce, marketing automation).
Proficiency in Python for analysis and automation.

Responsibilities

Own program performance measurement, including building and running recurring reviews that track coverage, engagement, and pipeline contribution by solution and geo, from raw data to actionable insights for VP and SVP audiences.
Drive buying group analytics by measuring coverage, engagement, and progression across solutions, tracking role composition to identify gaps and expansion opportunities, and translating findings into account targeting and One Teams strategy.
Own audience segmentation end-to-end, translating targeting requirements and campaign objectives into the account and contact dataset that powers dashboards and campaigns. This includes setting and defending the logic for audience creation, prioritization, and refresh, and surfacing insights that shape go-to-market decisions.
Bridge marketing intent and data reality by understanding campaign goals and building segments and measurement that serve those goals, rather than just what is easy to query.
Present complex analyses to senior leadership (VP and SVP stakeholders) in a clear and concise manner, driving decisions rather than just delivering presentations.
Partner closely with data engineering to translate ambiguous stakeholder questions into clear specifications for pipelines, refresh cycles, and dashboards, and uphold standards for completion.
Steward data responsibly by maintaining a clean, well-defined, and compliant audience dataset, working within privacy guardrails, enforcing no-PII activation standards, and keeping the dataset trustworthy as accounts and ownership evolve.
Act as the source of truth for marketing data by owning and defending definitions, writing documentation, and enabling stakeholders to ensure correct dataset usage and prevent misinterpretation or misapplication.