{"schemaVersion":"jobsearcher.job.v1","id":"439b3ac2acfa0e013e83ee73","url":"https://jobsearcher.com/jobs/439b3ac2acfa0e013e83ee73","canonicalUrl":"https://jobsearcher.com/jobs/439b3ac2acfa0e013e83ee73","title":"Data Analytics Engineer I (Future Opening)","description":"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.\r\nGCI'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.\r\nESSENTIAL DUTIES AND RESPONSIBILITIES AT ALL LEVELS\r\nAnalytics Engineering\r\nDevelop 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.\r\nImplement 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.\r\nCollaborate with business units to understand analytical needs and translate them into actionable data solutions.\r\nData Engineering\r\nDesign, 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).\r\nImplement and manage ETL (Extract, Transform, Load) processes to ensure seamless integration of data from multiple systems into a centralized data warehouse or data lake.\r\nEnsure data quality and integrity by identifying, resolving, and preventing data discrepancies and errors.\r\nOptimize and streamline data storage and retrieval processes to support real-time and batch data analysis needs.\r\nCross-Functional Collaboration:\r\nWork closely with data scientists, business analysts, and IT teams to design and implement visualizations that provide meaningful insights.\r\nProvide technical guidance and support to junior team members and other departments in data-related initiatives.\r\nContinuous Improvement & Innovation:\r\nStay up to date with the latest trends and technologies in data engineering, analytics, and telecommunications.\r\nIdentify opportunities to improve existing data systems, pipelines, and analytics models to drive greater efficiency and business impact.\r\nContribute to the development and adoption of new data technologies, methodologies, and best practices within the organization.\r\nCOMPETENCIES\r\nACCOUNTABILITY- Takes ownership for actions, decisions, and results; openly accepts feedback and demonstrates a willingness to improve.\r\nTake ownership and accountability of problems and facilitate finding a solution, involving other groups as necessary.\r\nOwn and manage priorities and individual tasks without direct supervision.\r\nTake the initiative and seek out opportunities. Assess and accept risks and learn from mistakes.\r\nBASIC 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.\r\nLead by example on all fronts.\r\nGuide development teams in a manner that creates success and allows for future self-sufficiency.\r\nFoster innovation and promote teamwork.\r\nCOLLABORATION - Works effectively with others to accomplish common goals and objectives; maintains positive relationships even under difficult circumstances.\r\nBuild and maintain effective working relationships with leadership, peers, customers, and vendors. Work to resolve problem relationships directly.\r\nCOMMUNICATION- Conveys thoughts and expresses ideas appropriately and professionally.\r\nBuild and maintain effective working relationships with leadership, peers, customers, and vendors.\r\nWork to resolve problem relationships directly.\r\nCreate clear and concise written documentation for a variety of audiences, including developers, business analysts and business users.\r\nCOMPLIANCE - Follows internal controls; protects company and customer confidential information; abides by GCI's Code of Business Conduct & Ethics.\r\nReviews modules for quality assurance.\r\nCUSTOMER FOCUS - Demonstrates commitment to service excellence; gives high priority to customer satisfaction.\r\nProvide a professional level of service to both external and internal customers.\r\nRELIABILITY - Consistently follows through on assigned tasks as expected; demonstrates timely attendance at meetings, training, and other work obligations.\r\nRESULTS - Uses a combination of knowledge, initiative, sound decision making, innovation, adaptability, and problem solving.\r\nSAFETY & SECURITY - Supports a safe work environment by following all workplace safety rules and guidelines; complies with applicable Security policies and procedures.\r\nTECHNICAL COMPETENCIES -\r\nMS Office knowledge (e.g., Outlook, Teams, Word, Excel). Ability to Design, Evaluate, and test data infrastructure.\r\nProficiency in SQL, Python, and R for data manipulation and analytics.\r\nExperience with big data technologies (e.g., Spark, Databricks) and cloud platforms (AWS, Azure, Google Cloud).\r\nProficient with data visualization tools (e.g., Tableau, Power BI).\r\nKnowledge of machine learning algorithms and statistical analysis techniques.\r\nFamiliarity with telecommunications systems and related data types (e.g., network performance metrics, call data records).\r\nAdditional Job Requirements\r\nWorks under moderate supervision, supports the team with reasonably complex issues, processes and projects developing a stronger working knowledge of subject matter.\r\nAssist in the collection, processing, and cleaning of raw data from various sources (e.g., network performance, customer usage data, billing systems).\r\nDevelop and maintain dashboards and reports.\r\nWrite basic SQL queries to query and extract data for analysis.\r\nAssist senior team members with data preparation tasks, including data validation and transformation.\r\nConduct basic exploratory data analysis (EDA) and assist in visualizing data for team reports.\r\nDocument data processes and workflows to maintain clarity on pipeline structures and operational processes.\r\nAdditional Competencies\r\nFamiliarity with SQL, Python, and data visualization tools (e.g., Tableau, Power BI).\r\nAbility to collaborate with cross-functional teams.\r\nEagerness to learn and develop technical skills in data engineering and analytics.\r\nBasic understanding with ETL processes, data pipeline design, and data warehousing.\r\nBasic understanding of telecommunications systems, data, network architecture, and key performance metrics.\r\nFamiliarity with spatial data analysis.\r\nMinimum Qualifications\r\nRequired: *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\r\nHigh School diploma or equivalent.\r\nBachelor's degree in Computer Science, Data Science, Engineering, Telecommunications, or a related field. *\r\nMinimum of one (1) year of experience in data engineering, analytics engineering, or a related role in the telecommunications industry. *\r\nPreferred\r\nAdvanced degree (Master's or PhD) in Data Science, Machine Learning, or a related field.\r\nFamiliarity with network optimization, customer experience analysis, or predictive analytics in telecommunications.\r\nOther telecom industry or job specific certifications.\r\nDRIVING REQUIREMENTS\r\nThis position may require access to reliable transportation for occasional travel, such as between retail store locations, offices, worksites, or other locations as needed.\r\nPHYSICAL REQUIREMENTS and WORKING CONDITIONS\r\nWork is primarily sedentary, requiring daily routine computer usage.\r\nAbility to work shifts as assigned, work in standard office/home office setting, and operate standard office equipment.\r\nAbility to accurately communicate information and ideas to others effectively.\r\nPhysical agility and effort sufficiently to perform job duties safely and effectively.\r\nAbility to make valid judgments and decisions.\r\nAvailable to work additional time on weekends, holidays, before or after normal work hours when necessary.\r\nMust work well in a team environment and be able to work with a diverse group of people and customers.\r\nVirtual workers must comply with remote work policies and agreements.\r\nThe company and its subsidiaries operate in a 24/7 environment providing critical services to Alaskans and may need to respond to public health and safety matters or other business emergencies. Due to business needs employees may be contacted outside of the core business hours to respond to an immediate emergency. As such, you will be requested to provide emergency after hours contact numbers, to include your home and cell phone numbers if you have those services.\r\nCulture, Engagement, and Connection: At GCI, we foster an environment where the unique perspectives of our employees, customers, and fellow Alaskans are celebrated. We add value to our community by nurturing and empowering each member of our workforce, ensuring equal opportunities for every Trailblazer.\r\nEEO: GCI is an equal opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, mental or physical disability, veteran status, or any other status or classification protected under applicable state or federal law.\r\nDISCLAIMER: The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.\r\nAll employees of GCI work in support of the GCI Mission Statement and Declaration of Principles which are located on the GCI Career page and Employee portal.","company":"Gci Communication","rawCompany":"gci communication","city":"Anchorage","state":"AK","isRemote":false,"isActive":false,"createdAt":"2026-06-29T01:59:55.647Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Engineer I (Future Opening)","description":"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.\r\nGCI'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.\r\nESSENTIAL DUTIES AND RESPONSIBILITIES AT ALL LEVELS\r\nAnalytics Engineering\r\nDevelop 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.\r\nImplement 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.\r\nCollaborate with business units to understand analytical needs and translate them into actionable data solutions.\r\nData Engineering\r\nDesign, 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).\r\nImplement and manage ETL (Extract, Transform, Load) processes to ensure seamless integration of data from multiple systems into a centralized data warehouse or data lake.\r\nEnsure data quality and integrity by identifying, resolving, and preventing data discrepancies and errors.\r\nOptimize and streamline data storage and retrieval processes to support real-time and batch data analysis needs.\r\nCross-Functional Collaboration:\r\nWork closely with data scientists, business analysts, and IT teams to design and implement visualizations that provide meaningful insights.\r\nProvide technical guidance and support to junior team members and other departments in data-related initiatives.\r\nContinuous Improvement & Innovation:\r\nStay up to date with the latest trends and technologies in data engineering, analytics, and telecommunications.\r\nIdentify opportunities to improve existing data systems, pipelines, and analytics models to drive greater efficiency and business impact.\r\nContribute to the development and adoption of new data technologies, methodologies, and best practices within the organization.\r\nCOMPETENCIES\r\nACCOUNTABILITY- Takes ownership for actions, decisions, and results; openly accepts feedback and demonstrates a willingness to improve.\r\nTake ownership and accountability of problems and facilitate finding a solution, involving other groups as necessary.\r\nOwn and manage priorities and individual tasks without direct supervision.\r\nTake the initiative and seek out opportunities. Assess and accept risks and learn from mistakes.\r\nBASIC 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.\r\nLead by example on all fronts.\r\nGuide development teams in a manner that creates success and allows for future self-sufficiency.\r\nFoster innovation and promote teamwork.\r\nCOLLABORATION - Works effectively with others to accomplish common goals and objectives; maintains positive relationships even under difficult circumstances.\r\nBuild and maintain effective working relationships with leadership, peers, customers, and vendors. Work to resolve problem relationships directly.\r\nCOMMUNICATION- Conveys thoughts and expresses ideas appropriately and professionally.\r\nBuild and maintain effective working relationships with leadership, peers, customers, and vendors.\r\nWork to resolve problem relationships directly.\r\nCreate clear and concise written documentation for a variety of audiences, including developers, business analysts and business users.\r\nCOMPLIANCE - Follows internal controls; protects company and customer confidential information; abides by GCI's Code of Business Conduct & Ethics.\r\nReviews modules for quality assurance.\r\nCUSTOMER FOCUS - Demonstrates commitment to service excellence; gives high priority to customer satisfaction.\r\nProvide a professional level of service to both external and internal customers.\r\nRELIABILITY - Consistently follows through on assigned tasks as expected; demonstrates timely attendance at meetings, training, and other work obligations.\r\nRESULTS - Uses a combination of knowledge, initiative, sound decision making, innovation, adaptability, and problem solving.\r\nSAFETY & SECURITY - Supports a safe work environment by following all workplace safety rules and guidelines; complies with applicable Security policies and procedures.\r\nTECHNICAL COMPETENCIES -\r\nMS Office knowledge (e.g., Outlook, Teams, Word, Excel). Ability to Design, Evaluate, and test data infrastructure.\r\nProficiency in SQL, Python, and R for data manipulation and analytics.\r\nExperience with big data technologies (e.g., Spark, Databricks) and cloud platforms (AWS, Azure, Google Cloud).\r\nProficient with data visualization tools (e.g., Tableau, Power BI).\r\nKnowledge of machine learning algorithms and statistical analysis techniques.\r\nFamiliarity with telecommunications systems and related data types (e.g., network performance metrics, call data records).\r\nAdditional Job Requirements\r\nWorks under moderate supervision, supports the team with reasonably complex issues, processes and projects developing a stronger working knowledge of subject matter.\r\nAssist in the collection, processing, and cleaning of raw data from various sources (e.g., network performance, customer usage data, billing systems).\r\nDevelop and maintain dashboards and reports.\r\nWrite basic SQL queries to query and extract data for analysis.\r\nAssist senior team members with data preparation tasks, including data validation and transformation.\r\nConduct basic exploratory data analysis (EDA) and assist in visualizing data for team reports.\r\nDocument data processes and workflows to maintain clarity on pipeline structures and operational processes.\r\nAdditional Competencies\r\nFamiliarity with SQL, Python, and data visualization tools (e.g., Tableau, Power BI).\r\nAbility to collaborate with cross-functional teams.\r\nEagerness to learn and develop technical skills in data engineering and analytics.\r\nBasic understanding with ETL processes, data pipeline design, and data warehousing.\r\nBasic understanding of telecommunications systems, data, network architecture, and key performance metrics.\r\nFamiliarity with spatial data analysis.\r\nMinimum Qualifications\r\nRequired: *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\r\nHigh School diploma or equivalent.\r\nBachelor's degree in Computer Science, Data Science, Engineering, Telecommunications, or a related field. *\r\nMinimum of one (1) year of experience in data engineering, analytics engineering, or a related role in the telecommunications industry. *\r\nPreferred\r\nAdvanced degree (Master's or PhD) in Data Science, Machine Learning, or a related field.\r\nFamiliarity with network optimization, customer experience analysis, or predictive analytics in telecommunications.\r\nOther telecom industry or job specific certifications.\r\nDRIVING REQUIREMENTS\r\nThis position may require access to reliable transportation for occasional travel, such as between retail store locations, offices, worksites, or other locations as needed.\r\nPHYSICAL REQUIREMENTS and WORKING CONDITIONS\r\nWork is primarily sedentary, requiring daily routine computer usage.\r\nAbility to work shifts as assigned, work in standard office/home office setting, and operate standard office equipment.\r\nAbility to accurately communicate information and ideas to others effectively.\r\nPhysical agility and effort sufficiently to perform job duties safely and effectively.\r\nAbility to make valid judgments and decisions.\r\nAvailable to work additional time on weekends, holidays, before or after normal work hours when necessary.\r\nMust work well in a team environment and be able to work with a diverse group of people and customers.\r\nVirtual workers must comply with remote work policies and agreements.\r\nThe company and its subsidiaries operate in a 24/7 environment providing critical services to Alaskans and may need to respond to public health and safety matters or other business emergencies. Due to business needs employees may be contacted outside of the core business hours to respond to an immediate emergency. As such, you will be requested to provide emergency after hours contact numbers, to include your home and cell phone numbers if you have those services.\r\nCulture, Engagement, and Connection: At GCI, we foster an environment where the unique perspectives of our employees, customers, and fellow Alaskans are celebrated. We add value to our community by nurturing and empowering each member of our workforce, ensuring equal opportunities for every Trailblazer.\r\nEEO: GCI is an equal opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, mental or physical disability, veteran status, or any other status or classification protected under applicable state or federal law.\r\nDISCLAIMER: The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.\r\nAll employees of GCI work in support of the GCI Mission Statement and Declaration of Principles which are located on the GCI Career page and Employee portal.","datePosted":"2026-06-29T01:59:55.647Z","dateModified":"2026-06-29T01:59:55.647Z","hiringOrganization":{"@type":"Organization","name":"Gci Communication","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Anchorage","addressRegion":"AK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"439b3ac2acfa0e013e83ee73"},"url":"https://jobsearcher.com/jobs/439b3ac2acfa0e013e83ee73"}}