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.

We’re looking for an Analytics Engineer to join our Network Data Solutions team. In this role, you will combine deep 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

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.

Qualifications

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 A) Network inventory and topology systems (e.g., NMS, OSS, GIS); B) Fault, performance, and capacity management data; C) 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.

Preferred Skills:

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.).

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Estimated base salary range: $77,100 - $118,600 USD/annually

The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan.

Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Benefits, Rewards & Wellness

Excellent Health, Dental & Vision Insurance
Retirement 401(k) Savings Plan
Generous paid time off policy including paid parental leave

Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Timing