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About the Role

Join the Network Data Solutions team as an experienced Data Analytics Engineer. This role combines deep telecom data expertise with technical acumen and problem-solving skills to design and deliver high-quality data products. These products enable network and engineering teams to make informed, data-driven decisions. You will collaborate with network operations, engineering, and technology partners to understand needs, document requirements, and translate them into scalable data solutions. 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. Leverage expertise in data design, data engineering (ETL/ELT), and business intelligence to develop end-to-end solutions.

Responsibilities

Partner with network and technology stakeholders to understand business objectives, challenges, and data requirements across 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 network inventory and topology systems (e.g., NMS, OSS, GIS), fault, performance, and capacity management data, and 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.).

Skills

Telecom data expertise
Technical acumen
Problem-solving skills
Data design
Data engineering (ETL/ELT)
Business intelligence
SQL
Snowflake
dbt
Python
Azure Data Factory
Microsoft Fabric
Power BI
Sigma
Tableau
Communication skills
Documentation skills
CI/CD tools
GitHub
Azure DevOps

Location

Denver, CO area
Hybrid option
Remote option
United States based
US Citizenship or existing Green Card required

Experience Level

Experienced
Minimum of five (5) years of experience in analytics engineering, data engineering, or BI roles

Education Level

Bachelor’s degree in Computer Science, Data Science, Information Systems, Telecommunications, or a related field (or equivalent experience)
Master’s degree in Computer Science, Data Science, Information Systems, Telecommunications, or a related field (or equivalent experience)

Salary/Compensations

$77,100 - $118,600 USD/annually

Benefits

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

About the Company

Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling innovations that are transforming 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.
At Zayo, we’re ambitious and authentic. Teamwork is how we get things done, whether it’s our focus on exceeding customer expectations or celebrating and growing our unique and dynamic culture. Our employees are driven and committed, with many options to connect and engage in our inclusive environment.

Equal Opportunity

Zayo is an equal opportunity employer to all protected groups, including protected veterans and individuals with disabilities.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us.
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.