GCI · 1 day ago
Data Analytics Engineer III
USA
Full-time
Hybrid
Senior Level
6+ years expGCI is a telecommunications company that is seeking a Data Analytics Engineer III to design, develop, and maintain interactive dashboards and reports for data-driven decision making. This role combines data engineering and analytics engineering to provide actionable business insights and enhance operational efficiency through collaboration with cross-functional teams.
AdvertisingContentPublic RelationsSocial Media
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 (e.g., network performance, customer usage data, call data records, billing systems)
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
Oversee the end-to-end analytics lifecycle including data modeling, data preparation and report development. Integrate and manage big data technologies (e.g., Databricks, Spark, Kafka) for real-time data processing and analytics
Implement AI driven workflows against data within analytical projects. Build and maintain dashboards and report solutions to monitor network performance, customer behavior, and service quality
Guide and mentor junior team members on data engineering best practices, tools, and techniques
Work closely with other technical teams (e.g., network engineers, software engineers) to understand business requirements and translate them into data solutions
Qualification
Required
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, Software/Computer Engineering, or relevant field
Minimum of six (6) years' experience in data engineering, analytics engineering, or a related role in the telecommunications industry
Proficiency in SQL, Python, and R for data manipulation and analytics
Experience with big data technologies (e.g., Spark, Databricks) and cloud platforms (AWS, Azure, Google Cloud)
Proficient with data visualization tools (e.g., Tableau, Power BI)
Knowledge of machine learning algorithms and statistical analysis techniques
Familiarity with telecommunications systems and related data types (e.g., network performance metrics, call data records)
Expertise in SQL, Python, and big data technologies (e.g., Databricks, Spark)
Strong background in statistics, machine learning, and data analytics, with the ability to apply these skills in a telecommunications context
Experience with cloud platforms (e.g., AWS, Azure, GCP) and data storage solutions (e.g., SQL, NoSQL databases)
Proven ability to lead projects and manage complex data analytics initiatives
Experience with ETL processes, data pipeline design, and data warehousing
Strong understanding of telecommunications data, network architecture, and key performance metrics
Experience with spatial data analysis, map creation and geographic data visualization
Preferred
Experience with real-time data processing and streaming technologies (e.g., Kafka, Apache Flink)
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
Company
GCI
GCI is a brand strategy agency providing media, audiovisual content, and social networking services.
11-50 employees
H1B Sponsorship
GCI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
2022 (2)
2021 (2)
Funding
Current Stage
Early StageRecent News
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