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QTS Data Centers · 1 day ago

Finance Analyst - Revenue Analytics

Richmond, VA

Full-time

Onsite

New Grad, Entry Level

0+ years exp

QTS Data Centers is a global digital infrastructure leader committed to connecting the world for good. The Finance Analyst - Revenue Analytics will support the development and maintenance of revenue forecasts, reporting tools, and analytical models to drive strategic decision-making within the company.

Cloud ComputingCloud InfrastructureData CenterWeb Hosting

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

Qualification

Financial analysisMicrosoft ExcelFinancial modelingData analysisCRM systemsSQLPower BITableauCommunication skillsAttention to detail

Required

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