## Channels & Experience Intelligence ManagerApplylocations: 15F The Globe Towertime type: Full timeposted on: Posted Todayjob requisition id: R0000021053At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.## **Job Description**Responsible in the extract of meaningful insights and recommendations from complex datasets to drive data-driven decision making within the organization. Works closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data requirements and provide valuable insights to support strategic initiatives and optimize business processes.**DUTIES AND RESPONSIBILITIES:*** Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.* Extract actionable insights and key findings from data analysis to inform business strategies, identify growth opportunities, and address business challenges.* Develop predictive models and algorithms to forecast future trends, identify potential risks, and optimize business performance.* Communicate data insights effectively through clear and concise reports, dashboards, and presentations to stakeholders at various levels within the organization.* Collaborate with cross-functional teams to understand their data needs, provide guidance on data collection and analysis methodologies, and ensure data quality and integrity.* Stay updated with the latest industry trends, advancements in data analysis techniques, and emerging tools to enhance data insight generation capabilities and contribute to continuous improvement initiatives.* Ensure compliance with data governance policies and procedures, including data privacy regulations, data security protocols, and ethical data usage practices.* Disseminate best practices and coach key stakeholders as needed* Guides the functional teams in using the Workday dashboard or creating the offline data extracts (summarized data) to prepare in exploring the data* Provide guidance on visualization and presentation of insights* Ensures knowledge transfer of how data insighting and models were created* Assess the current analytics infrastructure, identifying gaps and opportunities to implement scalable tooling, dashboards, and data frameworks.* Translate business requirements to technical development of data infrastructure and pipelines to support the needs of stakeholders.KPIs:* Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.* Collaborate with cross-functional teams to understand their data needs, provide guidance on data collection and analysis methodologies, and ensure data quality and integrity.* Guides the functional teams in using the Workday dashboard or creating the offline data extracts (summarized data) to prepare in exploring the dataTOP 3-5 DELIVERABLES:* Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.* Reports automation and operationalization to ensure minimal manual work needed* Extract actionable insights and key findings from data analysis to inform business strategies, identify growth opportunities, and address business challenges.* Identify potential risks, and optimize business performance. Communicate data insights effectively through clear and concise reports, dashboards, and presentations to stakeholders at various levels within the organization.**REQUIREMENTS:*** Bachelor’s degree in a relevant field such as Data Science, Statistics, Mathematics, or a related quantitative discipline.* 3 years experience in a similar role within the industry or domain relevant to the organization (telecom).* Familiarity with big data technologies and distributed computing frameworks for handling and analyzing large-scale datasets.* Experience working with cloud platforms (e.g., AWS, Azure, GCP) and their data services for data storage, processing, and analysis* Proficiency in SQL, R or Python programming languages specific for data transformation and exploratory data analysis