Sr. Marketing Operations Specialist

Illumio•Sunnyvale, CA
•$126,000 - $145,000•Onsite

About The Position

The role sits at the intersection of Marketing and Sales, connecting marketing investment and campaign performance to pipeline and revenue outcomes. The successful candidate will own marketing analytics end to end and serve as the go-to expert on marketing’s contribution to pipeline and revenue. This includes owning reporting and analytics capabilities that measure the marketing funnel from first touch through closed business, and building and managing components of the marketing analytics stack and data architecture so Marketing and Sales leaders can rely on a trusted view of performance. The role develops and implements strategies that support Marketing and Sales, translating complex data into clear recommendations for tactical execution plans, quarterly business reviews, and planning cycles. It works closely with Marketing Operations, Sales Operations, Channel, Finance, Business Applications (IT), Support, and other stakeholders to improve marketing data, processes, and business performance.

Requirements

  • Bachelor’s degree required.
  • 3–5+ years of marketing analytics, marketing operations, or sales operations experience in B2B SaaS.
  • Hands-on experience with Salesforce.com.
  • Working knowledge of BI tools such as Domo and PowerBI, and analytics tools such as Full Circle Insights.
  • Solid understanding of B2B marketing analytics, including funnel and waterfall frameworks, attribution modeling, and UTM tracking.
  • Advanced Excel skills and proficiency with the MS Office Suite.
  • Strong analytical skills, attention to detail, and an organized, thorough approach; recommendations should be supported by logical review of data.
  • Ability to take initiative, work flexibly, prioritize and manage multiple assignments with competing deadlines, and work with minimal direct supervision.
  • Ability to conceptualize, plan, and document effectively, with strong project and time management skills.
  • Clear and frequent communication, keeping leadership and colleagues informed of relevant issues and updates.
  • Experience collaborating across diverse business functions to drive change and achieve delivery.
  • Curiosity, entrepreneurial drive, and ability to thrive in an ambiguous environment, develop creative solutions, and bring positive energy to the team.

Nice To Haves

  • Emphasis in Business, Finance, Economics, Statistics, or a related analytical field.
  • Experience with Marketo, RingLead, and ZoomInfo.

Responsibilities

  • Own the design, creation, and management of standardized reports, dashboards, and KPIs for Marketing and the lead-to-opportunity funnel.
  • Visually present results and provide actionable insights and data-driven recommendations to Marketing and Sales stakeholders on a regular cadence.
  • Own funnel, campaign attribution, and digital source tracking analytics, improve performance, and connect marketing activity to pipeline, bookings, and forecast.
  • Manage and facilitate the lead-to-opportunity process in partnership with Marketing Operations, Sales, and Channel teams.
  • Manage, troubleshoot, and enhance marketing data architecture to ensure lead and data quality in Salesforce.com and connected marketing systems.
  • Audit and maintain processes and data definitions to ensure the accuracy and integrity of marketing and pipeline data.
  • Maintain data taxonomies, data definitions, and SLAs for users, along with documentation on processes, policies, and relevant training materials.
  • Collaborate with Marketing Operations, Sales Operations, and Business Applications (IT) to optimize data architecture across the MarTech and sales technology stack.
  • Lead cross-functional analyses and task forces that use data to drive improvements and increase revenue growth.
  • Recommend ways to improve efficiency across acquisition and retention marketing channels and inform pipeline planning.
  • Support Marketing and Sales leaders with QBR, planning, and executive reporting needs.
  • Understand report users’ data needs and respond to ad hoc requests for reporting, analysis, and process support.
  • Identify opportunities for business process improvement and automation, and make recommendations.
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