Data Analytics Engineer - Network Data Solutions

Zayo Group

1d•Remote

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. The company is looking for an Analytics Engineer to join their Network Data Solutions team. In this role, the individual will combine deep telecom data expertise with technical acumen and problem-solving skills to design and deliver high-quality data products that enable network and engineering teams to make informed, data-driven decisions. The role involves working closely with network operations, engineering, and technology partners to understand their needs, document requirements, and translate them into scalable data solutions. The Analytics Engineer will 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. Expertise in data design, data engineering (ETL/ELT), and business intelligence will be leveraged to develop solutions from beginning to end. This position is open to working remotely within the United States.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Telecommunications, or a related field (or equivalent experience).
Minimum of five (5) years of experience in analytics engineering, data engineering, or BI roles — preferably supporting telecom or network operations.
Strong proficiency in SQL, Snowflake, dbt, and Python for data transformation and automation.
Hands-on experience with Azure Data Factory and Microsoft Fabric for pipeline orchestration and data lakehouse management.
Advanced experience building and optimizing Power BI, Sigma and/or Tableau dashboards.
Deep understanding of telecom data domains, including: Network inventory and topology systems (e.g., NMS, OSS, GIS), Fault, performance, and capacity management data, Provisioning, activation, and service assurance systems.
Proven ability to analyze complex business problems, identify gaps in existing processes, and propose scalable data solutions.
Strong communication and documentation skills, with the ability to bridge business and technical perspectives.

Nice To Haves

Familiarity with CI/CD tools (e.g., GitHub, Azure DevOps).
Experience implementing data quality frameworks and metadata management practices.
Background in network engineering analytics, service performance monitoring, or customer experience analytics.
Knowledge of telecom industry KPIs and metrics (e.g., uptime, MTTR, capacity utilization, throughput, etc.).

Responsibilities

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, and architects to maintain alignment across the broader data ecosystem.
Serve as a subject matter expert (SME) for network-related data and analytics, mentoring others on telecom-specific concepts, sources, and logic.