Manager, Revenue Analytics

NavanSan Francisco, CA
6d

About The Position

As a Manager on the Revenue Analytics team you will be responsible for independently leading cross functional projects and managing senior revenue stakeholders. The ideal candidate will have a deep understanding of sales and revenue analytics and be able to effectively communicate complex data to key stakeholders. We are looking for someone comfortable operating at a high pace of change that matches the speed of our business. This is a senior individual contributor role.

Requirements

  • A natural curiosity for the world that guides how you approach problems and develop solutions.
  • Exceptional attention to detail (you pride yourself on this).
  • 6-8 years of quantitative experience in Data Analytics, Business Operations, Strategic Finance, or Management Consulting.
  • 6-8 years of full-stack analytics experience, combining expert-level SQL proficiency (complex modeling, CTEs, window functions) with deep development experience in data visualization tools (we use ThoughtSpot).
  • Proficient in Microsoft Excel or Google Sheets, including advanced formulas, pivot tables, vlookup, data validation, and conditional formatting.
  • Experience serving as a proactive thought partner to VPs and Directors, anticipating business needs and challenging assumptions to drive better outcomes.
  • A self-directed mindset with the ability to ruthlessly prioritize workstreams and navigate unstructured business problems with minimal supervision.
  • Expertise in translating complex analyses into concise, executive-level narratives that drive immediate strategic decisions.

Nice To Haves

  • Experience with DBT, Salesforce, Go-To-Market Strategy, or Consumption style business models.

Responsibilities

  • Lead cross-functional projects to develop and implement new revenue growth initiatives
  • Conduct in-depth statistical analyses to identify trends and risks. You will go beyond "what happened" to determine "why it happened" and "what we should do next."
  • Provide data solutions end-to-end (working with raw data, developing SQL models, building dashboards and presenting insights to stakeholders)
  • Serve as a strategic partner to revenue leaders, proactively diagnosing business health and prescribing specific operational interventions without waiting for top-down direction
  • Establish and enforce data governance standards for the revenue organization to ensure that Finance, Sales, and Marketing are aligned on a single source of truth
  • Drive the adoption of self-service analytics by designing intuitive reporting environments that allow business teams to answer their own questions at scale
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