Marketing Ops & Analytics Manager
Indexed description
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
This role owns the analytics backbone of Marketing and enables SDRs with accurate routing, attribution, dashboards, performance analysis, and automation — turning data into predictable pipeline impact.
Responsibilities
- Own the end-to-end marketing analytics stack, with Snowflake as the source of truth, including multi-touch attribution, funnel and cohort analysis across the full lifecycle (Lead → Revenue).
- Ensure data consistency across Snowflake, Salesforce, Marketo, and BI tools in partnership with RevOps, IS, and Finance.
- Design and maintain executive dashboards (Tableau / PowerBI) covering pipeline health, velocity, campaign ROI, CAC, SDR performance, and response SLAs.
- Own and optimize the lead lifecycle in Salesforce and Marketo, including scoring models, routing logic, territory rules, lifecycle stages, automation, and speed-to-lead improvements.
- Partner with SDR leadership to identify bottlenecks, improve conversion rates, and drive productivity through data-driven insights.
- Serve as the Marketo system owner, ensuring campaign execution, QA, data hygiene, governance, and seamless integrations across the GTM tech stack.
- Act as a cross-functional bridge between Marketing, Sales, RevOps, BI, and IS, translating business needs into
- 6–10 years in Marketing Ops, Marketing Analytics, RevOps, or Growth Analytics roles in B2B SaaS.
- Hands-on, advanced experience with:
- Snowflake/Big Query (data modeling, analysis, partnering with BI/analytics teams)
- Salesforce (campaigns, lead lifecycle, reporting)
- Marketo (automation, scoring, lifecycle management)
- Tableau or PowerBI or Looker
- Strong SQL skills and comfort working directly with raw data.
- Proven experience enabling SDR teams with data, automation, and process.
- Ability to independently own projects end-to-end in a fast-moving environment.
- Team player, can-do attitude, data driven, detail oriented
- Cybersecurity / networking / enterprise SaaS background.
- Experience with attribution modeling beyond “first/last touch”.
- Exposure to additional BI & AI tools (Workato, Make.com, Dreamdata, Looker, etc.).
- Experience supporting global GTM teams.
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