Senior Sales Operations Manager - Analytics & Intelligence

Apollo.io Apollo.io · Enterprise · United States · Revenue

Apollo.io is seeking a Senior Sales Operations Manager - Analytics & Intelligence to drive clarity, rigour, and scale across their go-to-market analytics and reporting. This role will own revenue analytics, reporting infrastructure, forecasting models, and GTM measurement frameworks, partnering closely with RevOps, Sales, Marketing, BI, Data Science, and Finance. The ideal candidate will be a senior individual contributor who thrives in ambiguity, brings structure to complex problems, and delivers durable analytical systems, improving insight velocity, data quality, and confidence in their numbers.

What you'd actually do

  1. Build and maintain executive-ready dashboards used daily by Sales, Marketing, and Finance leadership, reducing ad-hoc reporting requests by 30–50% through improved data accessibility and documentation.
  2. Design and scale core reporting infrastructure that reduces time spent on manual reporting and data preparation by 75% or more.
  3. Deliver quarterly, high-impact insights and recommendations that inform leadership decisions (e.g., headcount planning, pricing, segmentation, coverage models), resulting in risk reduction or growth upside of ±5–10% against plan.
  4. Design, implement, or optimize measurement frameworks for core GTM processes (e.g., lead routing, funnel conversion, pipeline hygiene), driving at least a 5% improvement in productivity or efficiency.
  5. Improve revenue data quality and reliability by proactively identifying and resolving systemic data gaps or inconsistencies, reducing downstream reporting errors and cutting debates on “data accuracy” by 50% or more.

Skills

Required

  • Salesforce (Reports & Dashboards)
  • Looker
  • Google Sheets
  • Snowflake
  • SQL
  • ETL / rETL best practices
  • modeling and manipulating large, complex datasets
  • communication and data visualization
  • partner cross-functionally with Business Intelligence, Analytics, Data Science, and Finance
  • High ownership mindset
  • strong judgment in ambiguous environments

What the JD emphasized

  • durable analytical systems—not one-off analyses
  • high-impact insights and recommendations
  • core GTM processes
  • revenue data quality and reliability
  • systemic data gaps or inconsistencies
  • data accuracy
  • AI-native company
  • driving productivity for our customers
  • smarter, faster ways to get things done using AI and automation
  • take extreme ownership
  • move with focus and urgency
  • learn voraciously
  • own your role and make a real impact
  • all for one
  • bold ideas and courageous action