Pricing Consultant

This position is based in our Irvine, California corporate headquarters with the opportunity to work a few days remotely per week.

We provide a unique competitive advantage through our data-driven consultation approach in shaping go-to-market strategies. Our culture of innovation and our meticulous execution helps our partners realize increased revenues and profitability for their business initiatives. Our team is highly specialized in digital marketing, data visualization and data sciences that can yield valuable market insights and craft effective strategies to capitalize on market opportunities at the right time.

As part of the Global Pricing Team, you will play a senior strategic role in shaping pricing frameworks that drive profitable growth, strengthen competitive positioning, and support executive decision-making across multiple regions. You will partner closely with Sales, Finance, Vendor Management, Product Owners, and Commercial Leadership to define and execute data-driven pricing strategies at scale.

The role combines advanced analytics, pricing strategy, business consulting, and cross-functional leadership. You will analyze macro market conditions, customer behavior, competitive dynamics, and internal business performance to identify pricing opportunities and maximize revenue and profitability.

As a Senior Pricing Consultant, you will help define pricing challenges, connect analytical insights to broader business strategy, and provide practical recommendations that influence commercial decisions. You will act as a trusted advisor to stakeholders, champion pricing initiatives, and contribute to the development of scalable pricing capabilities across the organization.

• Drive the development and execution of advanced pricing strategies that maximize profitability, improve market competitiveness, and support long-term business objectives.

• Analyze market conditions, customer behavior, profitability drivers, and pricing trends to identify revenue opportunities and support strategic decision-making.

• Serve as a trusted pricing advisor to cross-functional stakeholders by delivering data-driven recommendations and commercial insights.

• Design, develop, and maintain scalable analytical frameworks, pricing models, dashboards, and automation solutions.

• Lead advanced analytical initiatives leveraging statistical modeling, price elasticity analysis, segmentation, forecasting, optimization, and scenario simulations.

• Translate business requirements into technical analytical solutions and ensure data quality, integrity, and scalability across reporting environments.

• Work with large and complex datasets across multiple platforms such as Big Query, Databricks, Looker, and other cloud-based analytical ecosystems.

• Independently lead large cross-functional projects, coordinating priorities, timelines, stakeholder communication, and implementation activities.

• Present analytical findings and pricing recommendations to senior stakeholders in a concise and commercially impactful manner.

• Support pricing transformation and continuous improvement initiatives by identifying automation and process optimization opportunities.

You combine strong analytical expertise with commercial acumen and strategic problem-solving capabilities. You are comfortable working independently on complex pricing initiatives, translating ambiguous business challenges into structured analytical approaches, and influencing stakeholders through data-driven recommendations.

You have experience working with large datasets, advanced statistical techniques, pricing optimization methodologies, and cross-functional business teams. Beyond technical expertise, you are an effective communicator who can connect pricing analytics directly to business performance and strategic outcomes.

• Bachelors degree in a quantitative field (Statistics, Applied Mathematics, Economics, Data Science, Engineering, or similar). Masters will be highly valued.

• Extensive experience in pricing strategy, revenue management, profitability optimization, and advanced commercial analytics.

• Advanced expertise in statistical modeling and quantitative techniques including regression, elasticity modeling, clustering, forecasting, optimization, and predictive analytics.

• Strong understanding of pricing methodologies including price optimization, price elasticity, customer segmentation, and demand modeling.

• Experience applying machine learning and data mining techniques to commercial and pricing challenges.

• Proven track record managing and analyzing large, complex datasets from multiple sources while ensuring data quality and integrity.

• Advanced SQL expertise and experience working with cloud-based analytical platforms such as Big Query, Databricks, Looker, or equivalent technologies.

• Experience building scalable analytical frameworks, dashboards, reporting solutions, and automated workflows.

• Ability to independently lead complex…