Data Analytics Engineer - Network Data Solutions

Zayo Group is a provider of mission-critical bandwidth to impactful companies, and they are seeking an Analytics Engineer to join their Network Data Solutions team. The role involves designing and delivering high-quality data products to support network and engineering teams in making informed, data-driven decisions.

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

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 (examples you can customize): 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
• 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.)