Data Analytics Engineer

Join to apply for the Data Analytics Engineer I role at Jobright.ai

Join to apply for the Data Analytics Engineer I role at Jobright.ai

Get AI-powered advice on this job and more exclusive features.

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.

Job Summary:

GCI is a telecommunications company seeking a Data Analytics Engineer I to design, develop, and maintain interactive dashboards and reports that support data-driven decision-making. The role combines data engineering and analytics engineering, collaborating with cross-functional teams to ensure data quality and provide advanced analytics solutions to enhance network performance and operational efficiency.

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.

• Assist in the collection, processing, and cleaning of raw data from various sources (e.g., network performance, customer usage data, billing systems).

• Develop and maintain dashboards and reports.

• Write basic SQL queries to query and extract data for analysis.

• Assist senior team members with data preparation tasks, including data validation and transformation.

• Conduct basic exploratory data analysis (EDA) and assist in visualizing data for team reports.

• Document data processes and workflows to maintain clarity on pipeline structures and operational processes.

Qualifications:

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, 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

• 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…