Accounts Receivable Analyst
Stream Data Centers
Accounts Receivable Analyst
Stream Data Centers
Develops and operates hyperscale data centers
Stream Data Centers · Dallas, United States (Hybrid) · Full-time · Posted 2026-11-02
Salary: USD 60,000–75,000
Workplace: hybrid
Department: Finance Operations
For years, Stream Data Centers has been a trusted partner in providing world-class data center solutions. With a focus on sustainable, secure, and reliable infrastructure, Stream empowers businesses to scale their digital operations while prioritizing environmental and social responsibility.
Stream Data Centers continues to set new standards for innovation, operational excellence, and sustainability in the data center industry, having provided premium data center services since 1999. Now, with 90% of its inventory leased to Fortune 100 customers, the company has acquired, developed and managed more than 27 data center projects nationally, while leadership has remained consistent for over two decades.
From site selection to data center construction and operations, Stream develops wholesale colocation capacity and build-to-suit facilities for hyperscale and enterprise users in major markets across the United States. Additionally, Stream sources and develops low-risk land sites for optimum data center development and provides energy procurement services with a focus on reducing market risk and providing low-cost renewable energy options.
The Data Center Accounts Receivable Analyst is responsible for managing and overseeing tenant receivables, lease billing administration, cash application, reconciliations, and audit support activities across a portfolio of data center assets. This role serves as a critical link between Property Accounting, Property Management, and the Global Asset Management team to ensure accurate invoicing, timely collections, lease compliance, and financial reporting.
The ideal candidate is highly detail-oriented, possesses strong analytical and reconciliation skills, and has experience working with commercial real estate leases, tenant billing, and accounts receivable processes.
Reconcile miscellaneous tenant billings including:
Operating expense recoveries
One-time billings
Calculate, bill, and reconcile electrical reimbursements and utility recoveries in accordance with lease provisions.
The successful candidate will be recognized for maintaining accurate tenant billing and collections, ensuring lease compliance, delivering timely rent statements, effectively managing utility and electrical reimbursement reconciliations, and providing reliable financial support to both Property Accounting and the Global Asset Management organization.
The pay range for this role is between $60,000 – $75,000 (base). Individual compensation packages are based on various factors unique to each candidate, including skill set, experience, qualifications, location, and other job-related reasons. Stream Data Centers offers annual bonus, performance bonuses, benefits, flexible time off (vacation), 401k and a variety of other perks and benefits.
Stream is an equal-opportunity employer and does not discriminate on the basis of ethnicity, race, religion, sex, age, national origin, disability, military status, or any other reason prohibited by law. Note: Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.
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Develops and operates hyperscale data centers
Stream Data Centers develops, owns, and operates data center space for Fortune 500 and hyperscale customers. It provides end-to-end services from site selection and development to build-to-suit, powered shells, and energy procurement, including AI-ready designs with air and liquid cooling for high-density deployments. The company differentiates itself through an integrated real estate and development approach focused on enterprise-scale capacity, renewable energy options, and carrier-neutral, low-latency connectivity to networks and clouds, with about 90% of capacity leased to Fortune 100 clients. Its goal is to scale multi-gigawatt hyperscale capacity to meet growing digital demand and AI workloads.
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