Financial Data Analyst Lead

Company Description

Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.

Zayo is seeking a Financial Data Analyst Lead to drive data-informed financial planning and insights that power Zayo’s Commercial and Go-To-Market business segments. This is a highly visible role for a finance professional who blends deep FP&A expertise with technical skill in analytics, automation, and business intelligence. 

In this role, you’ll build scalable financial reporting systems, optimize forecasting tools, and transform data into actionable insights that guide strategy and performance. You’ll collaborate across Finance, Sales, and Operations to elevate decision-making and enable Zayo’s continued growth. 

Our Financial Data Analyst Lead will report directly to our Senior Manager, Financial Analysis & Data Analytics in an individual contributor capacity to start with future possibility to lead a small team of analysts.  

At Zayo, we’re building the digital infrastructure that connects the world — and the financial insights that power it. Join a collaborative team where your ability to merge finance and analytics will shape how we plan, operate, and grow. 

*Preference for candidates based in the Denver, CO metro area (hybrid, 2–3 days/week). Remote candidates within the U.S. will be considered. 
 

What You’ll Do:  

Financial Analytics & Reporting 

• Design and deliver data-driven financial models, dashboards, and tools that improve forecasting accuracy and business visibility.

• Build and maintain revenue forecasting tools and models supporting the commercial organization. 

• Develop and automate management reporting for financial performance, KPIs, and operational metrics. 

• Translate financial and operational data into clear insights that inform executive decision-making. 

Data Infrastructure & Automation 

• Automate and optimize FP&A workflows using Python, SQL, and Dataiku (or similar scripting tools). 

• Build and maintain analytics dashboards using Power BI. 

• Integrate and structure data from multiple sources (Salesforce and OneStream) for consistent and efficient analysis. 

• Implement robust data governance and validation to ensure data quality and reliability across finance systems. 
   

Business Partnership & Strategy 

• Manage the finance data analytics & reporting demand intake process, aligning priorities with finance leadership. 

• Partner cross-functionally to align data solutions with key business objectives. 

• Present insights and recommendations that influence commercial and operational strategy.  

What You’