Senior Finance Associate - Revenue Analytics

QTS Data CentersRichmond, VA
1d

About The Position

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.

Requirements

  • 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
  • Ability to lead analysis and initiatives with little direction or input.
  • High attention to detail and accuracy with strong written and oral communication skills.
  • Develop partnerships across the organization to enhance insights into facility and product-level performance.
  • Strong work ethic, self-motivated, resourceful and capable of effective independent judgement.
  • Ability to organize, interpret, and draw appropriate conclusions from large volumes of data and to creatively present the information in a format that enables non-financial managers to easily understand the information.
  • An enthusiastic attitude in a team environment and ability to work independently.

Nice To Haves

  • 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 manipulation
  • Experience providing financial and analytical support to a capital-intensive business

Responsibilities

  • 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
  • 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

Benefits

  • QRest Sabbatical
  • Employee Stock Purchase
  • QTS scholarship for dependents
  • Eagle Club award trip eligibility
  • Paid volunteer days
  • Tuition assistance, parental leave and military leave assistance
  • medical, dental, vision, life, and disability insurance
  • 401(k) retirement plan
  • flexible spending and HSA accounts
  • paid holidays
  • paid time off
  • paid volunteer days
  • employee assistance program
  • tuition assistance
  • parental leave
  • military leave assistance
  • QTS scholarship for dependents
  • wellness program
  • Roth and Traditional 401(k) matching contributions with immediate vesting
  • Every employee is bonus or commission eligible
  • Generous PTO, Paid Volunteer Days Plus Floating Holidays
  • Stock Purchase Plan (SPP)
  • 11 paid Holidays Annually/Holiday compensation when worked
  • Pet and Legal Insurance
  • Q-Rest Sabbatical Program
  • Q-Anniversary Service Award Program
  • Parental Leave for primary and secondary caregivers
  • Military Benefits Package
  • QTS Charitable Matching Gift Program
  • QTS Scholarship for Employee Dependents
  • QTS Crisis Fund
  • Wellness Program
  • Tuition Reimbursement Program

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

1,001-5,000 employees

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