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.
Requirements
- 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).
- Familiarity with SQL, Python, and data visualization tools (e.g., Tableau, Power BI).
- Basic understanding with ETL processes, data pipeline design, and data warehousing.
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.
- 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.
Other
- Collaborate with business units to understand analytical needs and translate them into actionable data solutions.
- 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.
- High School diploma or equivalent.
- Minimum of one (1) year of experience in data engineering, analytics engineering, or a related role in the telecommunications industry.
- This position may require access to reliable transportation for occasional travel, such as between retail store locations, offices, worksites, or other locations as needed.
