Location: Remote EST
About MediaRadar
MediaRadar, now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business.
About the Role
As MediaRadar positions itself for accelerated growth, we are expanding our FP&A function to support our most critical strategic decisions. Reporting into the Strategic Finance function, the Sr Strategic Finance Analyst, will be the technical engine behind our most sophisticated analytical and financial modeling efforts. In close collaboration with our Strategic Finance team, this role will play a pivotal part in designing, building, and operationalizing net-new models that shape product, pricing, investment, and M&A strategy.
This is a high-impact, high-visibility role ideal for a creative thinker with strong modeling capabilities, a passion for data-driven decision-making, and an ability to translate complex analyses into actionable business insights.

REQUIREMENTS

What You’ve Done:

• 3–5 years of experience in SaaS FP&A, financial modeling, strategic analytics, or a similar role is a must.
• Proven ability to develop complex models from scratch in Microsoft Excel.
• Deep understanding of corporate finance, capital budgeting, and business strategy.
• Strong collaboration skills; experience working cross-functionally with RevOps, Product, Development and Marketing.
• Experience working in an accelerated growth business with ever changing business needs.
• Excellent communication and presentation skills with a focus on clarity and business impact.
• Experience with scenario planning, sensitivity analysis, and predictive modeling preferred.
• Background in SaaS, technology, or media industries is a plus.
• Familiarity with SQL or Python is a bonus but not required.

KEY RESPONSIBILITIES:

What You’ll Do:

• Collaborate with our Senior Director of FP&A to develop advanced financial and strategic models that support executive decision-making and drive company growth.

• Quantify the financial impact of major strategic initiatives including:

• • New product launches (e.g., market sizing, ROI, adoption curves, capital budgeting)
• Pricing strategiesM&A evaluation and integration modeling
• Build and maintain scenario and sensitivity analyses to guide and de-risk investment decisions.
• Partner with RevOps to create predictive models around key business drivers, such as:
• 
  
  
  
• Churn forecasting

• Pipeline performance
• Upsell probability and client growth
• Collaborate with Technology and Commercial teams to support strategic initiatives through robust financial modeling and funnel analytics.
• Good understanding of SaaS economics and business modeling.
• Conduct advanced cohort analytics to evaluate client behavior over time.
• Work cross-functionally to transition models into operational tools and dashboards for ongoing use.
• Ability to translate data into action-oriented recommendations.

What You’ve Done:

• 3–5 years of experience in SaaS FP&A, financial modeling, strategic analytics, or a similar role is a must.
• Proven ability to develop complex models from scratch in Microsoft Excel.
• Deep understanding of corporate finance, capital budgeting, and business strategy.
• Strong collaboration skills; experience working cross-functionally with RevOps, Product, Development and Marketing.
• Experience working in an accelerated growth business with ever changing business needs.
• Excellent communication and presentation skills with a focus on clarity and business impact.
• Experience with scenario planning, sensitivity analysis, and predictive modeling preferred.
• Background in SaaS, technology, or media industries is a plus.
• Familiarity with SQL or Python is a bonus but not required