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.
Identify and highlight potential biases or preferences in labeling data (e.g., topic-specific or cultural/linguistic bias)
Collaborate with program managers to translate findings into operational and client-facing insights
Conduct applied analytics using Python, SQL, Big-Query, and statistical modeling, with opportunities to apply predictive modeling, NLP (Natural Language Processing), and bias detection algorithms
Manage and explore datasets ranging from structured datasets to larger-scale rater outputs (scaling to millions of rows as needed).
Drive process improvements and automation, surfacing insights that reduce variability, improve efficiency, and strengthen program resilience.
Evaluate and improve existing business intelligence models to create best-in-class solutions
Skills:
Strong proficiency in Python, SQL, and R.
Applied expertise in statistical modeling and experimental design (e.g., sampling, confidence intervals, agreement metrics).
Experience working with moderate-to-large datasets, with the ability to scale analyses as data volume grows.
Familiarity with BI/visualization tools such as Looker, Sisense, Tableau, or Power BI.
Experience in Google Cloud Platform (GCP) or other cloud data environments preferred.
Excellent ability to communicate insights clearly through reports, dashboards, and presentations to both technical and non-technical stakeholders.
Comfortable supporting client meetings as a subject-matter expert, while primarily focused on internal analysis and insights.
Qualifications
Bachelor's degree in a relevant field (e.g., Computer Science, Information Systems) or equivalent experience..
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
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