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Applied Systems · 2 months ago

Sr. Pricing and Monetization Analyst

Full-time

Hybrid

Mid, Senior Level

$100K/yr - $115K/yr

4+ years exp

Applied Systems is a leader in the Insurtech industry, dedicated to transforming the insurance landscape through innovative software and services. They are seeking a Sr. Pricing and Monetization Analyst to join their Sales Operations team, responsible for developing and maintaining pricing models, conducting market analysis, and providing quantitative support for monetization projects.

InsuranceSoftware

Work & Life Balance

Responsibilities

Architect, build, and own the company's core pricing and monetization calculators

Develop complex financial models to simulate the impact of new pricing strategies, product introductions, and bundling initiatives on ARR, margin, and customer adoption

Conduct and/or synthesize market research and quantitative competitive analysis to inform pricing decisions

Serve as the primary analytical partner for pricing stakeholders

Develop, maintain, and automate dashboards (e.g., in Tableau, Power BI, or Excel) to track and report on key pricing performance indicators

Qualification

Financial ModelingPricing StrategyMarket AnalysisMicrosoft ExcelSQLData VisualizationCommunication SkillsOrganizational SkillsDetail-oriented

Required

4-6+ years of progressive experience in Pricing, Financial Analysis (FP&A), Business Analysis, or a related quantitative role, preferably within a B2B SaaS or subscription-based technology company

Expert-level, demonstrable mastery of Microsoft Excel is essential. This includes building complex, multi-dependent financial models from scratch, using advanced formulas, pivot tables, and data analysis functions

Proven quantitative and analytical skills, with a deep understanding of statistical analysis, financial modelling, and data-driven problem-solving

A strong grasp of B2B SaaS financial and business metrics (e.g., ARR, MRR, LTV, CAC, Churn, Net Dollar Retention)

Excellent communication and presentation skills, with the ability to translate complex quantitative analysis into clear, concise, and actionable recommendations for business stakeholders

Highly organized and detail-oriented, with the ability to manage and prioritize multiple projects in a fast-paced environment