Business Intelligence Specialist

Who We Are

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Location & Flexibility

Philippines Hybrid: Manila

This is a hybrid role. This model requires the ability to work in a hybrid mode from our office in Manila (2 to 3 times/ week). Our office culture is designed to foster in-person innovation, collaboration, and connection with team members, local and visiting, from other global offices.

The Opportunity

Are you passionate about data-driven insights and ready to shape the future of customer experience? We are looking for a Senior Business Intelligence & Analytics Specialist (P3) to join our Client Success & Retention Team! In this role, you will be at the forefront of our analytics strategy, leveraging cutting-edge tools to transform data into actionable intelligence, drive operational excellence, and deliver measurable ROI for our global clients. If you are a problem-solver who thrives on innovation, collaboration, and continuous improvement, we invite you to help us elevate our analytics capabilities to new heights!

Responsibilities:

• Understand business processes and requirements to identify opportunities for improvement or optimization through the use of data analytics

• Collect, analyze, and interpret large datasets to develop actionable business insights and recommendations

• Design and analyze experiments and statistical tests to uncover drivers of performance and label patterns

• Build dashboards, reports, and automated monitoring systems in Looker, PowerBI, SiSense, or other similar BI tools.