Data Analytics Engineer I (Future Opening)

GCI Careers

69d

About The Position

This posting is to gather interest for the Data Analytics Engineer I. We are not currently hiring, but will be contacting candidates when we have an opening. GCI's Data Analytics Engineer I will be responsible for designing, developing, and maintaining interactive dashboards and reports that support data driven decision making within the organization. This hybrid role combines the functions of data engineering and analytics engineering, enabling the organization to leverage large-scale data for actionable business insights. Position will collaborate with cross-functional teams to ensure the quality, efficiency, and scalability of data while providing advanced analytics solutions to enhance network performance, customer experience, and operational efficiency.

Requirements

• A combination of relevant work experience and/or education sufficient to perform the duties of the job may substitute to meet the total years required on a year-for-year basis.
• High School diploma or equivalent.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Telecommunications, or a related field.
• Minimum of one (1) year of experience in data engineering, analytics engineering, or a related role in the telecommunications industry.

Nice To Haves

• Advanced degree (Master’s or PhD) in Data Science, Machine Learning, or a related field.
• Familiarity with network optimization, customer experience analysis, or predictive analytics in telecommunications.
• Other telecom industry or job specific certifications.

Responsibilities

• Develop and implement data models, algorithms, and analytical solutions to derive insights from large datasets, including network performance analysis, customer behavior modeling, churn prediction, and operational optimization.
• Implement AI driven workflows against data within analytical projects.
• Create automated reporting and visualization tools (e.g., dashboards, KPI reports) to communicate insights to stakeholders and drive data-informed decision-making.
• Collaborate with business units to understand analytical needs and translate them into actionable data solutions.
• Design, develop, and maintain robust data pipelines that efficiently collect, process, and transform data from various telecommunications sources.
• Implement and manage ETL (Extract, Transform, Load) processes to ensure seamless integration of data from multiple systems into a centralized data warehouse or data lake.
• Ensure data quality and integrity by identifying, resolving, and preventing data discrepancies and errors.
• Optimize and streamline data storage and retrieval processes to support real-time and batch data analysis needs.
• Work closely with data scientists, business analysts, and IT teams to design and implement visualizations that provide meaningful insights.
• Provide technical guidance and support to junior team members and other departments in data-related initiatives.
• Stay up to date with the latest trends and technologies in data engineering, analytics, and telecommunications.
• Identify opportunities to improve existing data systems, pipelines, and analytics models to drive greater efficiency and business impact.
• Contribute to the development and adoption of new data technologies, methodologies, and best practices within the organization.

Benefits

• Flexible working environment with hybrid options.
• Opportunities for professional development and training.
• Engagement in a diverse and inclusive workplace.

What This Job Offers

• Career Level: Entry Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees