Finance Analyst - Revenue Analytics

QTS Data Centers•Richmond, VA

About The Position

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. Who You Are: The Finance Analyst - Revenue Analytics will support the development and maintenance of revenue forecasts, reporting tools, and analytical models that drive strategic decision-making at QTS. In this role, you will work closely with the Director and Senior Associate on a small, high-performing team in a fast-paced environment, helping to ensure the accuracy and integrity of key datasets and support files used across the business. You will work closely with cross-functional partners, including Finance, Sales, Development, and Asset Management, while learning how revenue drivers, inventory dynamics, and demand pipelines shape performance across QTS' data center portfolio. This role provides a strong foundation for developing deep industry knowledge and growing into an advanced analytical or strategic position within the company.

Requirements

Bachelor's degree in finance, Economics, Accounting, Mathematics, Data Analytics, or a related field (or equivalent professional experience)
0-2 years of relevant experience in financial analysis, FP&A, business analytics, corporate strategy, or related fields; internships or coursework in financial modeling preferred
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
A collaborative mindset and enthusiasm for supporting team goals.
High attention to detail, accuracy, and data integrity.
Ability to organize, interpret, and summarize large volumes of data.
Strong work ethic, curiosity, and willingness to learn complex topics quickly.
Ability to present information in a format accessible to non-financial stakeholders.
A positive, proactive attitude in both team settings and independent work.

Nice To Haves

Real estate or data center industry experience desirable
Experience with Salesforce or other CRM for pipeline analysis
Experience or familiarity with BI tools such as Power BI or Tableau
Some knowledge of SQL or willingness to learn data extraction/manipulation skills
Interest in learning advanced modeling and analytics to support strategic initiatives

Responsibilities

Support the Director and Senior Associate in maintaining the company's revenue forecasting models, updating assumptions, validating inputs, and documenting changes
Manage and maintain supporting files, trackers, and data sources, ensuring completeness, accuracy, and consistency across revenue, inventory, and pipeline datasets
Prepare recurring reports and dashboards to track forecast performance, KPIs, and variances on a monthly and quarterly basis
Assist with data collection and systematization, leveraging internal platforms (e.g., CRM, finance systems) to consolidate information for forecasting and analysis
Perform preliminary analyses and deep dives on specific markets, facilities, products, or customer segments to identify trends, risks, and opportunities
Support monthly financial reporting, quarterly budget cycles, and annual planning, including preparing templates, validating data, and reconciling outputs
Help review lease documents, construction forecasts, and pipeline records to ensure accurate reflection of revenue timing and capacity utilization within models
Provide ad hoc analytical support to the Revenue Analytics team and other partners as business needs evolve