Financial Data Analyst Lead

Zayo Group•Denver, CO

6d•Hybrid

About The Position

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.

Requirements

Bachelor’s degree in Finance, Accounting, Data Analytics, or related field, or equivalent experience.
Minimum of five (5) years of experience in FP&A, financial data analytics, or financial reporting.
Experience cleaning and transforming large data sets (upwards of 1 million+ records)
Proven ability to connect finance principles with data science and analytics to drive business outcomes.
Expertise with Power BI, Tableau, Dataiku, or similar BI tools.
Experience with Python, SQL, or other automation languages for data transformation and workflow optimization.
Strong communication and stakeholder management skills, with the ability to translate complex data into clear business stories.
Attention to detail, intellectual curiosity, and a proactive, problem-solving mindset.

Nice To Haves

Familiarity with FP&A platforms (e.g., OneStream) a plus.

Responsibilities

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.