Senior Analyst, Revenue Operations - Strategy & Planning

ClickHouse ClickHouse · Data AI · United States · Go-To-Market

This role is for a Senior Analyst, Revenue Operations - Strategy & Planning at ClickHouse. The primary responsibilities include program managing the annual planning cycle, owning headcount and expense management for the GTM organization, running the comp plan modeling and execution cycle, building and maintaining forecast roll-ups, supporting territory and quota deployment, maintaining the Strategy & Planning analytical layer, and partnering with FP&A on financial processes. The role requires 5+ years of experience in revenue operations, sales finance, FP&A, or a similar analytical role, strong financial modeling skills, SQL fluency, and familiarity with accounting principles. Python is a plus. The company is a leader in real-time analytics, data warehousing, observability, and AI workloads.

What you'd actually do

  1. Program-manage the annual planning cycle across Sales and Finance: own the timeline, drive the deliverables, coordinate stakeholders, and synthesize the output into a single plan.
  2. Own headcount and expense management for the GTM organization: track plan vs. actual, manage requisitions, partner with hiring managers and recruiting on capacity.
  3. Run the comp plan modeling and execution cycle: scenario modeling, plan documentation, exception handling, and partnership with the comp administrator on payout accuracy.
  4. Build and maintain forecast roll-ups across regions and segments. Partner with FP&A on variance analysis and corporate forecasting.
  5. Support territory and quota deployment: produce the analytical work that underpins the annual plan and mid-year adjustments.

Skills

Required

  • 5+ years in revenue operations, sales finance, FP&A, strategic finance, or a similar analytical role
  • SQL fluency
  • Strong financial modeling skills
  • Comfortable program-managing a cross-functional process
  • Owner-operator mindset
  • Working knowledge of accounting principles
  • Detail-oriented and comfortable with operational rigor
  • Strong written and verbal communication
  • Bachelor's degree in a quantitative field

Nice to have

  • Python
  • SaaS or consumption-based business model experience
  • Familiarity with ClickHouse, dbt, or a comparable modern analytics stack
  • Familiarity with Salesforce, comp administration platforms (CaptivateIQ, Spiff, or similar), and BI tools

What the JD emphasized

  • SQL fluency required