Senior Financial Analyst - Revenue

KikoffSan Francisco, CA
Hybrid

About The Position

Kikoff is seeking a Senior Financial Analyst - Revenue to join their FP&A team. This role will be responsible for revenue forecasting and reporting across all product lines, utilizing a data-driven approach. The ideal candidate will have strong financial modeling and data analysis skills, and will partner with Data, Product, and Marketing teams to develop models for financial planning, board reporting, and strategic decision-making. The position reports to the FP&A Manager and is located in San Francisco, requiring 3 days per week in the office.

Requirements

  • 3+ years of experience in FP&A, corporate finance, or a data-focused analytical role at a later-stage or public high-growth Fintech, marketplace, or consumer internet company with high transaction volumes preferred
  • Strong financial modeling skills with demonstrated experience building and maintaining revenue models
  • Highly proficient in SQL and comfortable working directly with large datasets
  • Expert-level Excel / Google Sheets skills
  • Strong understanding of Fintech / SaaS revenue metrics
  • Exceptional analytical thinker with the ability to synthesize complex data into clear, actionable insight
  • Excellent communication skills

Nice To Haves

  • Experience with BI / visualization tools (e.g., Metabase, Looker, Tableau) preferred
  • Basic knowledge of ASC606 & ASC310 for revenue streams and lending and subscription services helpful
  • Working knowledge of FP&A planning tools (e.g., Adaptive Planning, Anaplan) is preferred

Responsibilities

  • Own, build, and continuously improve Kikoff's revenue forecasting models across all product lines, translating user acquisition, engagement, and retention metrics into data-driven revenue projections
  • Drive revenue aspects of executive Weekly Business Review, and partner with Data and Marketing to develop weekly/daily forecasts/actuals for key metrics and revenue components
  • Perform monthly revenue variance analysis and identify key variance drivers
  • Develop scenario and sensitivity analyses to evaluate revenue assumptions under various business and market conditions
  • Partner with the Data team to source, validate, and integrate data pipelines into the financial planning process; write SQL queries and work in BI tools (e.g., Metabase, Looker, Tableau) to extract and analyze data independently
  • Collaborate with Product and Marketing to evaluate the revenue impact of new product launches, feature changes, pricing experiments, and growth campaigns
  • Work on board decks, investor materials, and executive presentations

Benefits

  • profit sharing
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