Sr. Marketing Analytics Manager

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world's most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort.

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At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact.

If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

We're looking for a sharp, analytically minded marketing analytics professional to help power Gong's marketing engine with data. As Senior Marketing Analytics Manager, you will own the dashboards, models, and analyses that help marketing leaders understand what's working, optimize spend, and drive pipeline growth.

You will partner with Growth & Demand, Corporate Marketing, Product Marketing, Rev Ops, and Finance. What sets you apart is your blend of analytical depth and marketing intuition-you're comfortable working with data, building reporting and measurement frameworks, and digging into the details, and you know how to translate findings into clear recommendations. This role is ideal for someone who wants to pair strong analytical skills with meaningful strategic impact.

RESPONSIBILITIES

Build & Maintain Marketing Analytics Infrastructure

* Own the marketing analytics stack-build and maintain dashboards and reports that track pipeline, campaign performance, funnel conversion, and ROI

* Write and optimize queries to extract, transform, and model marketing data across CRM, marketing automation, web analytics, and internal data sources

* Develop and maintain attribution models, lead scoring logic, and funnel stage definitions in partnership with Rev Ops

* Ensure data quality and integrity across marketing data sources; troubleshoot discrepancies and build validation checks

Deliver Actionable Analysis & Insights

* Conduct deep-dive analyses on campaign effectiveness, channel mix, audience segmentation, and pipeline contribution

* Build cohort analyses, regression models, or predictive models to identify what drives conversion and retention across marketing-sourced pipeline

* Create weekly and monthly performance reports for marketing leadership, including executive-ready summaries with clear takeaways

* Proactively surface trends, anomalies, and opportunities-don't wait to be asked

Support Planning & Performance Management

* Partner with Finance and Marketing leadership on budget planning, forecast models, and investment scenario analysis

* Help translate business goals into measurable marketing targets and OKRs

* Track progress against targets and flag risks or opportunities in real-time

Collaborate Across Teams

* Work closely with Rev Ops on CRM data, lead routing logic, and attribution alignment

* Partner with Demand Gen and Growth teams to design measurement frameworks for campaigns and experiments

* Support Product Marketing with competitive analysis, win/loss data, and market segmentation insights

QUALIFICATIONS

* 8+ years in marketing analytics, growth analytics, or a related quantitative role, preferably in B2B SaaS

* SQL proficiency and comfort working with data directly

* Experience with BI/visualization tools such as Tableau, Looker, Power BI, or Hex

* Working knowledge of Salesforce, Marketo or Hub Spot, and modern data stacks (Snowflake, dbt, etc.)

* Experience with attribution modeling, funnel analytics, and campaign measurement

* Familiarity with GA4, web analytics, and digital marketing…