Live opening · Posted 7 days ago
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About the role
Description supplied by the original job listing.
The Role
We are looking for a highly analytical and strategic Pricing Analyst to join our team. In this role, you will be the analytical engine behind our monetization strategy. You will partner closely with Product, Sales, Marketing, and Finance to optimize our pricing and packaging, drive revenue growth, and improve customer retention. We value efficiency and innovation—you will be expected to leverage modern AI tools to accelerate your data analysis, build smarter models, and translate complex insights into actionable business strategies.
Key Responsibilities
Pricing & Packaging Strategy: Analyze tier structures, feature allocation, and add-on pricing to optimize value capture across customer segments.
Financial Modeling & Forecasting: Build quantitative models to forecast the revenue impact of price changes, promotional discounts, packaging adjustments, and plan migrations.
AI-Driven Insights & Automation: Leverage generative AI and predictive analytics tools to accelerate data wrangling, automate repetitive reporting workflows, and uncover deeper behavioral trends in large datasets.
Subscription Metrics Analysis: Track and analyze key subscription metrics—including MRR/ARR, Churn, Net Retention Rate (NRR), LTV, Customer Acquisition Cost (CAC), and ARPU.
Experimentation & A/B Testing: Design, monitor, and evaluate monetization experiments, price sensitivity tests, and promotional strategy rollouts.
Competitive & Market Research: Benchmark competitive pricing models, packaging strategies, and monetization trends across the industry, utilizing AI to rapidly synthesize market intelligence.
Cross-Functional Collaboration: Serve as a strategic partner to Product Management and Sales Leadership to ensure pricing strategies are competitive, easily understood by customers, and operationally viable to execute.
What You’ll Need (Qualifications)
Experience: 2–5 years of experience in pricing strategy, corporate finance, revenue operations, management consulting, or data analytics—ideally within a B2B SaaS or subscription software environment.
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