Pricing Strategy Analyst

RealPage, Inc. • Richardson, TX

17h

About The Position

The Pricing Strategy Analyst supports RealPage’s enterprise pricing and monetization strategy through quantitative analysis, financial modeling, competitive intelligence, and pricing performance monitoring. The role evaluates pricing and packaging opportunities for new and existing products, analyzes commercial performance, and helps develop fact-based pricing recommendations. The Analyst works with Pricing Strategy leadership and cross-functional partners in Product, Finance, Sales, RevOps, and Business Units on pricing optimization, product launches, and ongoing improvements to pricing frameworks.

The position also supports pricing governance, strategic decision-making, and pricing transformation initiatives. It contributes to the development of pricing models, value metrics, segmentation approaches, bundling principles, and SKU architecture. In addition, the Analyst works with stakeholders on Oracle CPQ and master data enhancements, from gathering requirements and validating data through user acceptance testing, implementation, and post-launch review. Limited travel is generally less than 10%, based on business needs.

Requirements

• Bachelor’s degree in Finance, Economics, Business, Mathematics, Statistics, Engineering, Data Science, or a related analytical field, or equivalent relevant experience.
• 5+ years of experience in business analysis, pricing, financial analysis, revenue management, or a related analytical role, or 2–3 years in top-tier consulting.
• Demonstrated experience conducting quantitative analyses, developing financial models, and translating complex datasets into business insights.
• Advanced proficiency in Microsoft Excel, including formulas, pivot tables, data manipulation, and financial or scenario modeling.
• Proficiency in Microsoft PowerPoint and ability to communicate analytical findings through clear, structured presentations.
• Strong analytical and problem-solving skills, with excellent attention to detail and accuracy.
• Ability to work effectively with cross-functional stakeholders, gather information, validate assumptions, and communicate findings.
• Strong organizational and time-management skills, with the ability to manage multiple assignments and meet deadlines.
• Limited travel required, generally less than 10%, based on business needs.
• Strong analytical and quantitative skills, including advanced Excel modeling, data analysis, and scenario evaluation.
• Foundational understanding of pricing strategy, monetization, packaging, bundling, and commercial performance drivers.
• Ability to analyze complex datasets, identify trends and inconsistencies, and develop clear, fact-based insights.
• Strong structured problem-solving skills, intellectual curiosity, and willingness to challenge assumptions.
• Ability to connect detailed analytical findings to broader business, product, and commercial considerations.
• Strong written and verbal communication skills, including the ability to prepare concise, management-ready presentations.
• Excellent attention to detail, data accuracy, and commitment to producing high-quality analytical work.
• Ability to collaborate across functions, manage competing priorities, and work with a high degree of accountability.

Nice To Haves

• Experience in B2B SaaS, enterprise software, technology, or subscription-based business models.
• Previous exposure to pricing strategy, product monetization, packaging, bundling, or commercial performance analytics.
• Experience with SQL, Power BI, Tableau, or other data analysis and visualization tools.
• Familiarity with Oracle, particularly Oracle CPQ and product or pricing master data; experience supporting system enhancements or implementations is preferred.
• Experience supporting strategic projects, pricing initiatives, or executive-level business analyses.
• Familiarity with AI-enabled products, usage-based pricing, or emerging SaaS monetization models.
• Understanding of SaaS pricing models, including subscription, per-unit, bundled, and usage-based pricing.
• Familiarity with pricing methodologies such as competitive benchmarking, customer segmentation, price elasticity, and willingness-to-pay analysis.
• Ability to simplify and visualize complex data to communicate findings effectively.
• Ability to translate pricing and business needs into clear system requirements and support the design, testing, documentation, and implementation of Oracle enhancements.
• Strong commercial judgment and interest in pricing strategy, product economics, and business growth.
• Proactive approach to problem solving, process improvement, and continuous learning.

Responsibilities

• Support pricing and monetization analytics for SKU launches, pricing changes, bundles, packaging, price levels, product mix, customer adoption, and pricing-related margin implications; develop models and scenario analyses to support pricing decisions.
• Analyze opportunities to optimize the existing SKU portfolio, including price adjustments, SKU consolidation, packaging changes, migration strategies, and simplification of legacy pricing structures; identify trends and quantify opportunities.
• Support pricing and packaging development for new products and capabilities through market research, financial modeling, customer segmentation, competitive benchmarking, and willingness-to-pay analyses.
• Monitor commercial performance, including promotions, discount patterns, price realization, product mix, adoption, and pricing-program effectiveness; develop recurring analyses and reporting to identify trends and deviations.
• Research competitor pricing models, packaging, value metrics, commercial practices, and emerging SaaS and AI monetization trends; maintain competitive pricing databases and synthesize findings for Pricing Strategy leadership.
• Prepare analyses, financial models, presentations, and supporting materials for Pricing Council and other executive decision forums; assist with tracking pricing decisions, documenting recommendations, and maintaining pricing frameworks and methodologies.
• Support pricing strategy transformation, including development and implementation of pricing models, value metrics, segmentation approaches, bundling principles, and SKU architecture; collaborate with stakeholders to gather data, validate assumptions, monitor progress, and support execution.
• Support Oracle CPQ and master data enhancements by gathering and documenting requirements, contributing to process and solution design, validating pricing and product data, supporting user acceptance testing, and assisting with implementation and post-launch review.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level