Data Analytics Engineer I (Future Opening)

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.

ESSENTIAL DUTIES AND RESPONSIBILITIES AT ALL LEVELS:

Analytics Engineering:

• 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.

Data Engineering:

• 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.

Cross-Functional Collaboration:

• 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.

Continuous Improvement & Innovation:

• 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.

COMPETENCIES:

• ACCOUNTABILITY- Takes ownership for actions, decisions, and results; openly accepts feedback and demonstrates a willingness to improve.
• Take ownership and accountability of problems and facilitate finding a solution, involving other groups as necessary.
• Own and manage priorities and individual tasks without direct supervision.
• Take the initiative and seek out opportunities. Assess and accept risks and learn from mistakes.
• BASIC PRINCIPLES - Interacts with people in a way that builds mutual trust, confidence, and respect; adheres to GCI’s Code of Conduct for Employees – the Basic Principles.
• Lead by example on all fronts.
• Guide development teams in a manner that creates success and allows for future self-sufficiency.
• Foster innovation and promote teamwork.
• COLLABORATION - Works effectively with others to accomplish common goals and objectives; maintains positive relationships even under difficult circumstances.
• Build and maintain effective working relationships with leadership, peers, customers, and vendors. Work to resolve problem relationships directly.
• COMMUNICATION- Conveys thoughts and expresses ideas appropriately and professionally.
• Build and maintain effective working relationships with leadership, peers, customers, and vendors.
• Work to resolve problem relationships directly.
• Create clear and concise written documentation for a variety of audiences, including developers, business analysts and business users.
• COMPLIANCE - Follows internal controls; protects company and customer confidential information; abides by GCI’s Code of Business Conduct & Ethics.
• Reviews modules for quality assurance.
• CUSTOMER FOCUS - Demonstrates commitment to service excellence; gives high priority to customer satisfaction.
• Provide a professional level of service to both external and internal customers.
• RELIABILITY - Consistently follows through on assigned tasks as expected; demonstrates timely attendance at meetings, training, and other work obligations.
• RESULTS - Uses a combination of knowledge, initiative, sound decision making, innovation, adaptability, and problem solving.
• SAFETY & SECURITY - Supports a safe work environment by following all workplace safety rules and guidelines; complies with applicable Security policies and procedures.
• TECHNICAL COMPETENCIES -
• MS Office knowledge (e.g., Outlook, Teams, Word, Excel). Ability to Design, Evaluate, and test data infrastructure.
• 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).

Additional Job Requirements:

• Works under moderate supervision, supports the team with reasonably complex issues, processes and projects developing a stronger working knowledge of subject matter.
• 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.

Additional Competencies:

• Familiarity with SQL, Python, and data visualization tools (e.g., Tableau, Power BI).
• Ability to collaborate with cross-functional teams.
• Eagerness to learn and develop technical skills in data engineering and analytics.
• Basic understanding with ETL processes, data pipeline design, and data warehousing.
• Basic understanding of telecommunications systems, data, network architecture, and key performance metrics.
• Familiarity with spatial data analysis.

Minimum 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. *
• Preferred:
• Advanced degree (Master’s or PhD) in Data Science, Machine Learning, or a related field.