Manager, Revenue Management

Full-time - Mid Level

Remote - Greenwood Village, CO

Real Estate

About the position

As the Manager, Revenue Management, you will play a critical role in developing and executing pricing strategies for both new and existing customers. Collaborating closely with our data science team, you will leverage data analytics to inform decision-making and enhance our revenue optimization efforts. This position is designed for growth, with the potential to evolve into a leadership role as the team expands.

Responsibilities

• Analyze market trends, customer behavior, and competitive pricing to develop effective pricing strategies that maximize revenue.
• Develop and implement pricing strategies that emphasize the unique value propositions of our services, differentiating us from competitors.
• Brainstorm creative promotional campaigns and discount structures that attract new customers while maintaining profitability.
• Collaborate with the data science team to create and refine machine learning models that enhance pricing strategies and forecasting accuracy.
• Utilize data analytics to monitor and report on pricing performance, identifying opportunities for improvement.
• Work with marketing, operations, and finance teams to ensure pricing strategies align with business objectives and customer needs.
• Provide insights and recommendations to senior leadership based on data-driven analysis.
• Track and analyze key performance indicators (KPIs) related to pricing and revenue management, reporting findings to stakeholders regularly.
• Continuously evaluate and adjust strategies based on performance metrics and market conditions.
• Participate in leadership training and development opportunities to prepare for future management roles as the team grows.
• Mentor and guide junior staff.

Requirements

• Bachelor's degree in Business, Finance, Economics, or a related field; Master's degree preferred.
• 3-5 years of experience in revenue management, pricing strategy, or data analysis, preferably within the real estate or self-storage industry.
• Strong analytical skills with proficiency in data analysis tools (e.g., Excel, SQL, R, Python).
• Experience working with machine learning models is a plus.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams.
• Strategic thinker with a proactive approach to problem-solving and decision-making.

Benefits

• Medical/vision/dental plans
• 401(K) with employer match
• Employee Assistance Program
• A positive work culture of high integrity team members
• Opportunities for career development and training
• A healthy work life balance including quarterly wellness days