Senior Finance Associate - Revenue Analytics

Who We Are:

It's exciting to find yourself standing in a pivotal moment in time. It’s even more exciting to be out front leading it. At QTS, our world-class data centers are supporting our customers most strategic growth initiatives, positioning us at the forefront of today’s dynamic digital transformation.

As AI and cloud drive the demand for increased speed, capacity and capability, QTS has emerged as the global digital infrastructure leader, committed to connecting the world for good. Driven by purpose and fueled by a spirit of innovation, QTS designs, builds and operates some of the world’s most advanced, forward-thinking data centers. QTS is a portfolio company of Blackstone.

QTS is Powered by People
. People who play a vital role in our company’s culture, innovation and growth. People who are committed to contributing to the communities where we operate and work. People who are knowledgeable, resourceful and mission driven. Together, we do great things.

The Senior Finance Associate - Revenue Analytics will play an integral role in developing revenue forecasts and analytics for QTS and contribute directly to strategic projects such as inventory management, lease negotiations, competitive industry research and valuation analysis. In this role, you will work as a key member of a small, tight-knit team in a fast-paced environment supporting QTS’ accelerating growth profile.

The Senior Finance Associate - Revenue Analytics is responsible for leading and maintaining the company’s revenue forecasts, supported by demand and inventory pipeline analysis. This role will partner with business leaders across the organization to support strategic decision-making by transforming data into analytics. In this role, you are empowered to review and analyze demand pipelines, construction forecasts and lease documents to assist in the development and implementation of the optimal strategy across QTS’ business.

In this role, you will have regular interaction and exposure to executive leadership across the business. Additionally, the Revenue Analytics team contributes to monthly financial reporting, quarterly budget forecasts, annual bookings plans and ad hoc analyses. This role will provide you an opportunity to develop a deep understanding of the data center and real estate industries and the tools to develop into a future leader at QTS.

• Lead and maintain the company’s revenue forecasting model, incorporating input from finance and accounting, sales, development, asset management and operations
• Develop and maintain dashboards and reports to track forecast performance, key performance metrics and variances on a monthly, quarterly and annual basis
• Systematize the collection of data from across QTS, leveraging existing software platforms to refine and transform information and insights into actionable intelligence that will drive business objectives
• Conduct deep dives into specific data center facilities to understand their drivers and identify potential levers to enhance financial performance
• Provide ad hoc analytical support to the Revenue Analytics team and other partners as business needs evolve

• Bachelor’s degree preferably in Finance, Economics, Accounting, or Mathematics or equivalent professional experience
• 4+ years of professional experience in management consulting, investment banking, or sell-side equity research program or similar role in financial planning and analysis or corporate development within a public company
• Strong Microsoft Excel skills, including comfort with formulas, pivot tables, and data analysis tools
• Basic knowledge of financial statements, business metrics, and forecasting concepts
• Ability to manage and validate large datasets with high attention to detail
• Strong written and verbal communication skills, particularly in preparing clear analytical summaries

• Real estate or data center industry experience desirable
• Experience with Salesforce or other CRM for pipeline analysis
• Experience using Power BI and Tableau for dashboard creation and data visualization
• Experience with SQL or similar for data extraction and…