Data Analytics Engineer, Senior

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.

About the Role 

We’re looking for a Senior Analytics Engineer to join our Network Data Solutions team. In this role, you will combine telecom data expertise with technical acumen and problem-solving skills to design and deliver high-quality data products that enable our network and engineering teams to make informed, data-driven decisions. 

You’ll work closely with network operations, engineering, and technology partners to understand their needs, document requirements, and translate them into scalable data solutions. You’ll also analyze existing processes and data pipelines to identify improvement opportunities — proposing smarter, faster, and more reliable ways to deliver insights that drive network performance, reliability, and operational efficiency. You will leverage your expertise in data design, data engineering (ETL/ELT), and business intelligence to develop solutions from beginning to end. 

Key Responsibilities 

• Develop standards and ways of working for the Analytics Engineering team for Network Data Solutions, with speed to delivery, quality products, scalability, reliability, and observability in mind.  

• Partner with network and technology stakeholders to understand business objectives, challenges, and data requirements across areas such as network performance, reliability, capacity, and customer experience. 

• Develop and maintain deep knowledge of telecom data domains and source systems, including network inventory, provisioning, assurance, fault, and performance data. 

• Lead the creation of BTS (BRD Technical Specification) documentation, translating business logic into clear technical solutions. 

• Design, build, and maintain robust data products that support operational and strategic reporting — from ingestion through transformation, modeling, and visualization. 

• Evaluate existing data processes and models to identify opportunities for standardization, optimization, and automation. 

• Propose and implement innovative solutions that improve data accessibility, quality, and usability for network teams. 

• Develop scalable data models using dbt and Snowflake aligned to modern data architecture principles. 

• Build and orchestrate ETL/ELT pipelines in Azure Data Factory and Microsoft Fabric, ensuring efficiency and reliability. 

• Write and optimize SQL and Python code for advanced data manipulation, automation, and validation. 

• Facilitate UAT (User Acceptance Testing) with business partners to ensure data solutions align with real-world operational needs. 

• Design and deliver dashboards and reports using Power BI, Sigma, and Tableau that translate complex network data into actionable insights. 

• Collaborate with data engineers, analysts,