Experience Analytics & Insights Lead

Globe Telecom; Taguig; On-site; PHP 600,000 - 900,000; Full time

Job summary

Globe Telecom is seeking a data analytics professional to extract insights and drive data-driven decisions across the organization. You will work with data scientists, analysts, and business stakeholders to understand requirements and provide valuable insights to optimize processes.

The role involves developing predictive models, communicating findings through dashboards, and ensuring data governance and quality across projects.

Qualifications

• Bachelor’s degree in a relevant quantitative field (Data Science, Statistics, Mathematics).
• 3 years of experience in a similar data analytics role (telecom domain preferred).
• Familiarity with big data technologies and distributed computing frameworks for large-scale datasets.
• Experience with cloud platforms (AWS, Azure, GCP) and their data services.
• Proficiency in SQL, R or Python for data transformation and exploratory analysis.

Responsibilities

• Perform advanced data analysis using statistical techniques, data mining, and visualization to uncover patterns and trends in large datasets.
• Extract actionable insights to inform business strategies and identify growth opportunities.
• Develop predictive models and algorithms to forecast trends and optimize performance.
• Communicate insights through reports, dashboards, and presentations to stakeholders at multiple levels.
• Collaborate with cross-functional teams to define data requirements and ensure data quality and governance.

Skills

SQL

Python

R

Big data

Cloud platforms

Education

Bachelor's degree in Data Science / Statistics / Mathematics

Tools

AWS

Azure

GCP

Job description

Globe Telecom is seeking a data analytics professional to extract insights and drive data-driven decisions across the organization. You will work with data scientists, analysts, and business stakeholders to understand requirements and provide valuable insights to optimize processes.

The role involves developing predictive models, communicating findings through dashboards, and ensuring data governance and quality across projects.