Pricing Strategy Analyst - Financial Consulting

Pricing Strategy Analyst

The Pricing Strategy Analyst will support RealPage's enterprise pricing and monetization strategy through quantitative analysis, financial modeling, competitive intelligence, and pricing performance monitoring. The role will analyze pricing and packaging opportunities across new and existing products, evaluate commercial performance, and support the development of fact-based pricing recommendations. Working closely with Pricing Strategy leadership and cross-functional partners in Product, Finance, Sales, RevOps, and Business Units, the Analyst will contribute to pricing optimization initiatives, new product launches, and ongoing improvements to pricing frameworks. The ideal candidate combines strong analytical capabilities, attention to detail, intellectual curiosity, and the ability to translate complex data into clear business insights.

Responsibilities

Support ongoing pricing and monetization analytics, including analysis of new SKU launches, pricing changes, bundles, packaging, price levels, product mix, customer adoption, and pricing-related margin implications. Develop analytical models, conduct scenario analyses, and prepare findings 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, quantify opportunities, and support the development of recommendations.

Support pricing and packaging development for new products and capabilities, conducting market research, financial modeling, customer segmentation, competitive benchmarking, and willingness-to-pay analyses to inform price points, value metrics, and launch economics.

Monitor and analyze commercial performance, including promotions, discount patterns, price realization, product mix, adoption, and effectiveness of pricing programs. Develop recurring analyses and reporting to identify performance trends, highlight deviations, and support pricing optimization initiatives.

Conduct competitive and market pricing intelligence, researching competitor pricing models, packaging, value metrics, and commercial practices, as well as emerging SaaS and AI monetization trends. Maintain competitive pricing databases and synthesize findings into actionable insights for Pricing Strategy leadership.

Support pricing governance and strategic decision-making, preparing data 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.

Contribute to pricing strategy transformation initiatives, supporting the development and implementation of evolving pricing models, value metrics, segmentation approaches, bundling principles, and SKU architecture. Collaborate with cross-functional stakeholders to gather data, validate assumptions, monitor progress, and support execution of approved pricing initiatives.

Support Oracle CPQ and master data enhancements by partnering with Pricing Strategy, Product, Finance, Business Systems, and other stakeholders to gather and document requirements, contribute to process and solution design, validate pricing and product data, support user acceptance testing, and assist with implementation and post-launch review.

Qualifications

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 2-3 years in top tier consulting, or a related analytical role.

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, including the 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.

Preferred:

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

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.

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.

Experience with business intelligence tools, SQL, or other analytical technologies.

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.

Physical Demands and Working Conditions

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee must have the ability to operate a personal computer and express or exchange ideas by means of the spoken word. May be required to sit and/or stand for long periods of time. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. May be required to lift or move 10+ pounds.

Pay Range

USD $106,900.00 - USD $181,900.00 /Yr.