Sr. Marketing Analytics Manager
Listed on 2026-07-01
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst
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.
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
- 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
- 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
- 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
- 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 data
- Proven ability to communicate analytical findings to non‑technical stakeholders
- Experience supporting marketing planning cycles including budgeting, forecasting, and OKR setting is a plus
- Analytical Thinker:
You enjoy working with data and aren’t afraid to roll up your sleeves when needed. You’re energized by finding the story in the numbers. - Data Fluent:
You’re proficient in SQL and comfortable navigating cloud data warehouses to get the answers you need. - Analytically Rigorous:
You understand…
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