Senior Sales Operations Analyst

Apollo is seeking a Senior Sales Operations Analyst to drive clarity, rigor, and scale across our go-to-market analytics and reporting. This role sits at the center of decision-making for Sales, Marketing, and Finance, ensuring our revenue engine is predictable, efficient, and trusted.

You will own revenue analytics, reporting infrastructure, forecasting models, and GTM measurement frameworks, partnering closely with RevOps, Sales, Marketing, BI, Data Science, and Finance. Your work will directly inform leadership decisions around planning, investment, and execution.

This role is designed for a senior individual contributor who thrives in ambiguity, brings structure to complex problems, and delivers durable analytical systems—not one-off analyses. You will be a force multiplier for the revenue organization by improving insight velocity, data quality, and confidence in our numbers.

• 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.
• Design and scale core reporting infrastructure that reduces time spent on manual reporting and data preparation by 75% or more.
• 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.
• 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.
• 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.

• 7–10 years of experience working in Revenue Operations, Sales Operations, Analytics, or a related function, with hands-on experience in Salesforce (Reports & Dashboards), Looker, Google Sheets, and Snowflake.
• Proven ability to independently build and own sales forecasting, capacity, demand, and activity models, from initial requirements through ongoing iteration and improvement.
• Strong command of SQL and ETL / rETL best practices, with experience modeling and manipulating large, complex datasets with high accuracy and performance.
• Exceptional communication and data visualization skills, with the ability to clearly convey key performance metrics, pacing-to-plan, and team- vs-rep-level insights to both technical and non-technical stakeholders.
• Demonstrated ability to partner cross-functionally with Business Intelligence, Analytics, Data Science, and Finance to align on definitions, metrics, and decision-making.
• High ownership mindset with strong judgment in ambiguous environments; able to proactively identify problems, propose solutions, and see them through to impact.