Revenue Management Lead

3 Day Blinds (Corporate)•Irvine, CA

6h•$122,000 - $165,000

About The Position

The Revenue Management Lead sits within the Commercial Finance & Analytics team and partners with Sales, Marketing, Operations, and Finance to improve commercial decision-making through data, analysis, and strategic thinking. The role owns the Revenue Management agenda for the Shop-at-Home business, identifying opportunities to accelerate growth, improve profitability, and strengthen commercial decision-making. It covers pricing and discount strategy, conversion performance, customer behavior, and marketing effectiveness, translating data into practical recommendations with measurable business impact. The position reports to the Head of Commercial Finance & Analytics and works closely with senior leaders across Sales, Marketing, Operations, and Finance. It is a high-visibility role with direct senior-leadership exposure and the opportunity to influence pricing, profitability, customer acquisition, and overall business performance. The role may provide development toward broader commercial finance or analytics leadership as the function evolves.

Requirements

Bachelor's degree in finance, economics, business, statistics, mathematics, data analytics, or a related field.
At least 5 years of progressive experience in Revenue Management, Commercial Finance, Pricing, Strategy, Business Analytics, Consulting, Investment Banking, or a related commercial function.
Demonstrated success influencing cross-functional business decisions through data, analysis, and commercial insight.
Experience partnering with leaders across Sales, Marketing, Operations, and Finance.
Advanced Excel skills and experience using BI tools and large datasets.
Experience leveraging AI-enabled tools and modern analytics platforms to improve productivity, accelerate analysis, and improve business decision-making.

Nice To Haves

MBA or advanced degree.
Experience in a consumer-facing, retail, direct-to-consumer, home services, or similarly commercial environment.
SQL and Python skills.

Responsibilities

Identify opportunities to improve revenue, gross margin, and profitability across the business.
Analyze pricing, discounting, product mix, conversion, customer behavior, and commercial performance to uncover actionable opportunities.
Develop recommendations that balance growth, profitability, and customer experience.
Partner with Sales, Marketing, Operations, and Finance to evaluate initiatives, challenge assumptions, and support better decision-making.
Provide data-driven insights that inform commercial strategy and prioritization.
Translate complex data into clear, actionable insights that support business decisions.
Develop analyses that answer critical business questions and identify opportunities for growth and operational improvement.
Own and continuously improve key commercial reporting and performance dashboards, including their quality, accessibility, and relevance.
Automate recurring analyses where appropriate to allow more time for high-value commercial work.
Explore ways to use AI and analytics tools to improve efficiency, deepen analysis, and increase business impact.