Revenue Management Professional

• Define & drive the short term and long-term growth agenda of the business while influencing various cross functional teams.
• Manage the business P&L and devise strategies to achieve revenue goals.
• Tactically manage active revenue levers to achieve the daily margin, conversion and transaction goals.
• Lead discussions on the relevant banking and non-banking alliances and execute tactical marketing campaigns.
• Track performance parameters and keep a tight control on business KPI numbers.
• Deep dive into competitor pricing data and use signals to improve category pricing.
• Deep dive onto demand signals / traffic data to decipher business and marketing strategy.
• Collaborate with marketing to devise and execute customer engagement strategies and campaigns.
• Understand new markets & segments the trends/customer behavior and work with marketing, supply and product to maximize conversion basis those trends.
• Follow a stringent action plan and collaborate with the product team to increase platform conversion for the holidays category.
• Work with product teams to automate / improve pricing, business reporting and alerting mechanisms.
• Collaborate with operations team to devise and ensure smooth post-sale processes.

• Analyze large datasets to uncover meaningful trends and generate insights that drive business decisions.
• Build and run business experiments to validate hypotheses and test new initiatives.
• Conduct scenario modeling and forecasting to support strategic planning.
• Own reporting for the category and create automated dashboards and tools to track business performance.

• Work closely with key internal stakeholders to align on priorities and drive execution.
• Communicate effectively across teams, manage multiple workstreams, and deliver under tight timelines

• MBA from a reputed institute with 57 years of experience in a revenue or category management role within a consumer-facing, technology-enabled businesspreferably in the e-commerce industry.
• Proven track record of working in high-growth, data-driven environments with a strong understanding of business levers and consumer behavior.
• Advanced proficiency inMS Excel and MS PowerPointfor data analysis and business storytelling.
• Sound understanding of SQL and Python is mandatory to independently work on data extraction, modeling, and analysis.

• A sharp business acumen with a mindset focused onmaximizing ROI, revenue, and overall business impact.
• Strong passion for data with an exceptional ability to break down and solve complex business problems using structured thinking and analytics.
• Excellentcommunication, interpersonal, and influencing skills, with the ability to manage and align multiple stakeholders effectively.
• A high-energy team player with a positive attitude, strong ownership, and a collaborative approach to driving results in a dynamic environment.

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