Skip to main content
Collibra

Senior Financial Analyst

RemoteUnited States only
Published
Role
Finance
Experience
Senior
Employment
Full-time
$96k–$120k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior Financial Analyst needed for Collibra's FP&A team, partnering with R&D. Requires 5-8 years of FP&A experience in SaaS/tech, strong budgeting/forecasting skills, and familiarity with cloud economics and SaaS metrics. Must be comfortable with incomplete data and use AI tools in daily work.

Core skills

FP&AR&D financecloud hosting economics

Required skills

budgetingforecastingheadcount modelingvariance analysiscloud infrastructure economicscost modelsARRNRRpipeline velocityclose ratesgross marginCACLTVproduct-level P&L modelsrevenueCOGSinvestment allocationfinancial modelingAI tools

Optional skills

supporting R&D and GTM financecloud infrastructure cost frameworksunit economicsproduct-level profitability analysisAI tools for financial modelingAI tools for researchAI tools for data analysisAI tools for drafting

What you'll do

  • Own the annual budget and rolling forecasts for the R&D organization, including engineering headcount, contractor spend, software and tooling, and allocated infrastructure costs.
  • Serve as the day-to-day finance partner for R&D fielding budget questions, modeling one-off scenarios, and providing financial clarity for leadership decisions.
  • Build business case models for R&D investments, new product development, platform initiatives, and major capability builds including projected costs, revenue assumptions, and payback periods.
  • Model investment tradeoffs for R&D leadership and track actual performance of approved investments against their original business cases.
  • Support growth and profitability target-setting by modeling how R&D investment levels translate into product capability timelines and downstream revenue potential.
  • Own cloud hosting cost reporting and forecasting tracking actuals by product line against budget and maintaining a forward-looking model that reflects planned usage growth.
  • Identify optimization opportunities across the cloud portfolio idle resources, over-provisioned environments, and commitment vs. on-demand mix and partner with engineering on cost implications of architectural decisions.
  • Build and maintain a product-level P&L for key product lines covering ARR, recognized revenue, gross margin, and associated R&D and GTM investment.
  • Contribute product line P&L, ARR, and pipeline performance to executive and board-level reporting.

What they require

  • 5–8 years of experience in FP&A, corporate finance, or a closely related analytical role in a SaaS or technology company
  • experience supporting R&D and GTM finance is a strong plus
  • Demonstrated experience with core FP&A disciplines budgeting, forecasting, headcount modeling, and variance analysis preferably with R&D cost structures.
  • Familiarity with cloud infrastructure economics and the ability to build cost models around cloud hosting portfolios.
  • Deep understanding of SaaS revenue metrics ARR, NRR, pipeline velocity, close rates, gross margin, CAC, LTV and the ability to build rigorous, defensible models and narratives around them.
  • Experience building and owning product-level P&L models, including revenue, COGS, gross margin, and investment allocation.
  • Practically AI-enabled you actively use AI tools as part of your day-to-day workflow, whether for financial modeling, research, data analysis, or drafting, and you bring the judgment to validate outputs and know when to trust them.
  • Proven ability to work in environments where data is incomplete, definitions are still being established, or infrastructure is maturing and the judgment to produce credible, actionable analysis anyway.
  • A clear and confident communicator who can translate complex financial analysis into narratives for non-finance audiences and who brings a point of view, not just a deliverable.
  • You are Comfortable producing clear, structured analysis in environments where data is incomplete or definitions are still evolving.
  • Familiar with applying cloud infrastructure cost frameworks to unit economics and product-level profitability analysis.
  • Skilled at building financial models that can be translated for non-finance stakeholders.
  • Familiar with applying AI tools to day-to-day analytical work research, modeling, or drafting with the judgment to validate the outputs.
  • Demonstrates a proactive business partnering style engaging stakeholders early, anticipating questions, and bringing recommendations rather than waiting to be asked

Benefits

  • bonus potential
  • equity for eligible roles
  • a Flex Fund monthly stipend
  • pension/401k plans
  • competitive compensation
  • health coverage
  • time off

software company founded in Belgium in 2008

Data ManagementEnterprisecollibra.com
$96k–$120k/yr