Pricing Analyst

Posted 20 Days Ago
Be an Early Applicant
El Segundo, CA, USA
In-Office
Mid level
Healthtech
The Role
Analyze and optimize pricing, packaging, discounts, and subscription monetization strategies. Build financial forecasts, pricing models, cohort analyses, and price elasticity models; track SaaS metrics such as MRR, ARR, churn, NRR, LTV, CAC, and ARPU. Conduct A/B tests, competitive research, and AI-assisted analytics while partnering with Product, Sales, Marketing, and Finance to drive revenue growth and retention.
Summary Generated by Built In
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.

  • Quantitative Modeling Expertise: Advanced proficiency in data modeling. You can build complex financial models, cohort analyses, and sensitivity scenarios. You can create and optimize price elasticity of demand models (PED) across products, bundles and customer segments. 

  • Price Optimization: Establish dynamic pricing strategies, discount structures, and promotional calendars to maximize revenue or margin targets.

  • Technical Chops: Strong proficiency in SQL to pull, clean, and manipulate large datasets. Experience with BI/Data Visualization tools (e.g., Tableau, Looker, PowerBI) is required.

  • AI Fluency: Demonstrated ability to integrate AI assistants (e.g., ChatGPT, Claude, Gemini, GitHub Copilot) into your daily workflow to write/debug SQL, summarize research, or accelerate financial modeling.

  • Business Acumen: Deep understanding of subscription pricing, unit economics, and standard metrics (CAC, LTV, NRR, MRR).

  • Communication Skills: Ability to translate complex data and modeling into clear, executive-level presentations (PowerPoint/Keynote) and actionable business recommendations.

  • Execution Focus: Proven ability to manage multiple projects simultaneously, work autonomously, and thrive in a fast-paced environment.

Bonus Points
  • Degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.

  • Experience with statistical programming (Python or R) for advanced data analysis or price elasticity modeling.

  • Familiarity with applying Machine Learning (ML) concepts to pricing challenges (e.g., predictive churn modeling, dynamic pricing algorithms, or automated segmentation).

  • Familiarity with billing and CRM systems (Salesforce)

  • Direct experience running pricing experiments 

At Internet Brands, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to be in the low $100ks and depend on your skills, qualifications, and experience. We encourage all interested candidates to apply.
 
In addition to our awesome culture, we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include health insurance options such as medical, dental, and vision coverage, flexible spending accounts (FSA) for medical and dependent care, short-term and long-term disability insurance, and life and AD&D insurance. We also provide a 401(k) retirement savings plan with a company match, paid time off (PTO), paid holidays, as well as access to our Employee Assistance Program (EAP) and well-being coaching services. In addition, employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services. For more details, feel free to inquire during the interview process.
 
Internet Brands®, headquartered in El Segundo, Calif, is a fully integrated online media and software services company focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company's properties and platforms include the WebMD, Medscape, and Henry Schein ONE networks, which are the global leaders in their markets; Nolo, Avvo, and Martindale, which form the largest consumer information provider in the legal market; and CarsDirect, Fodor's Travel, and many others which are leaders in their key vertical markets. Internet Brands' award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. The company's powerful, proprietary operating platform provides the flexibility and scalability to fuel the company's continued growth. Internet Brands is a portfolio company of KKR and Warburg Pincus.
 
Internet Brands is an equal opportunity employer, and we welcome applicants from all backgrounds. We comply with all applicable laws and regulations, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO).
 
Notice to California residents: you can find information about our privacy practices, on: https://www.internetbrands.com/work-with-us/cpra


Skills Required

  • 2-5 years of experience in pricing strategy, corporate finance, revenue operations, management consulting, or data analytics
  • Experience in a B2B SaaS or subscription software environment
  • Advanced data modeling, financial modeling, cohort analysis, and sensitivity scenario development
  • Experience creating and optimizing price elasticity of demand models
  • Experience establishing dynamic pricing strategies, discount structures, and promotional calendars
  • Strong proficiency in SQL
  • Experience with BI or data visualization tools such as Tableau, Looker, or Power BI
  • Ability to integrate AI assistants such as ChatGPT, Claude, Gemini, or GitHub Copilot into analytical workflows
  • Understanding of subscription pricing, unit economics, and CAC, LTV, NRR, and MRR metrics
  • Ability to present complex analyses to executives and provide actionable recommendations
  • Ability to manage multiple projects autonomously in a fast-paced environment
  • Degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field
  • Experience with Python or R for advanced data analysis or price elasticity modeling
  • Familiarity with machine learning concepts applied to pricing
  • Familiarity with billing and CRM systems, particularly Salesforce
  • Direct experience running pricing experiments
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The Company
HQ: New York, NY
2,062 Employees
Year Founded: 1995

What We Do

Our Company: WebMD is a leading provider of health information services to consumers, physicians, healthcare professionals, employers and health plans. Our Business: WebMD is the leading provider of health information and services to consumers and healthcare professionals. The online healthcare information, decision-support applications and communications services that we provide: help consumers take an active role in managing their health by providing objective healthcare information and lifestyle information. make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers. enable employers and health plans to provide their employees and plan members with access to personalized heath and benefit information and decision support technology that helps them make informed benefit, provider and treatment choices.

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