Versapay · 4 hours ago

Senior Pricing Analyst

United States

Full-time

Remote

Mid, Senior Level

$95K/yr - $110K/yr

4+ years exp

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Enterprise SoftwareFinancial Services

Growth Opportunities

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Responsibilities

Systematically deconstruct revenue and profitability by product, vertical, ERP (ex. Business Central, SAP, Oracle, Acumatica, SYSPRO, etc.) pricing strategy, and profitability models.

Foster a culture of data-informed decision making and hypothesis-driven experimentation.

Translate deal requirements into thoughtful, well-designed business cases that encourage further exploration and drive value.

Expertly wield quantitative and qualitative analysis to uncover the next best actions for GTM teams.

Institute best practices in the areas of billing, pricing governance, and audit automation.

Collaborate with Deal desk and sales team to develop class-leading self-service models to enable expedited and repetitive deal closures.

Distill complex pricing scenarios into compelling stories with recommendations with ability to present to key stakeholders. Instill credibility in our output through strict governance standards and strong documentation of pricing policy and process controls.

Blend natural curiosity with an ability to navigate ambiguity to solve problems, and to drive GTM pricing strategy across various channels and partners.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SaaS PricingRevenue OptimizationStatistical AnalysisBI ToolsTableauQuantitative MethodsSQLPayments ExperienceSalesforceSASRPythonBusiness AcumenAnalytical Methods

Required

4+ years of professional experience with advanced software pricing (SaaS), revenue optimization, statistical analysis, and usage of BI tools, preferably with Tableau, experience in Payments and with Salesforce is a plus but not required.

Passion for advanced analytics techniques – demonstrate a knack for surfacing hidden opportunities through application of quantitative methods.

Outstanding business acumen and attention to detail – understand the drivers of our revenue creation and how to drive value to the customer. Translate business value into customer willingness to pay and transform into insightful analyses.

Superior quantitative thinking and experience in the quest to help stakeholders understand profitability and opportunity.

Degree in Statistics, Applied Math, Finance, Engineering, Computer Science, or related field required.

Demonstrated proficiency with analytical methods and tools, such as SQL, SAS, R or Python.

Flexibility and adaptability that meets the needs of an evolving work environment