Senior Data & Analytics Engineer – Proactive Assurance

TELUS

Data management role in proactive assurance team within Consumer Products and Services. Leading campaign operations and leveraging data for insights and improvements.

Posted 5/23/2026full-timeCalgary • 🇨🇦 CanadaSenior💰 CA$86,000 - CA$136,000 per yearWebsite

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Hard Skills

data analyticsdata visualizationSQLspatial SQLPythondata architecturedata warehousingAI/ML model developmentdata pipeline orchestrationtelecom network

Soft Skills

project managementstakeholder communication

Tools & Technologies

TableauLookerCartoGoogle CloudAWSAzureGitHubClaudeGeminiChatGPT

Certifications & Qualifications

advanced degree in Data Scienceadvanced degree in Computer Science

Industry Keywords

customer engagementdata analytics dashboardsproactive supportcustomer interventionschurndispatch ratesproactive reachtelemetry datanetwork elementsdata procedures

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact

Manage the day to day operations of all proactive campaigns including our refresh, validation and filtering process, ensuring our messages (SMS, RCS, e-mail or push notifications) are successful every day
Push to enhance our digital mediums - how we engage our customers -> own the roadmap, delivery, and execution through close partnership with key stakeholders
Lead the development and maintenance of data analytics dashboards for the Proactive Assurance
Own our metrics! Churn, dispatch rates, customer engagement, customer interventions, proactive reach are just a few
Data engineer pipelines to clean data and prepare for visualization
Access telemetry data from our network elements and analyze the customer impact of those metrics.
Partner with Data Science to development, validation, and deployment of AI/ML models for proactive support of customers experiencing network issues
Use exceptional SQL skills to integrate data across many systems
Create actionable insights and reports to support strategic decision-making

Requirements

What you’ll need

Advanced expertise in data analytics and visualization tools (Tableau, Looker, Carto)
Using AI tools to analyze and present data (Claude, Gemini, ChatGPT, ..)
Advanced expertise using SQL
Experience with spatial SQL (Big Query, Postgre)
Experience building data procedures and scheduling and orchestrating data pipelines
Expertise in programming languages (Python)
Experience in Data Architecture and Data Warehousing
Strong understanding of telecom network and home networking
Knowledge of cloud platforms (Google Cloud, AWS, Azure)
Experience with source control (GitHub)
Experience with AI/ML model development and deployment
Strong project management and stakeholder communication skills
Advanced degree in Data Science, Computer Science, or related field

Benefits

Comp & perks

Comprehensive total rewards package highlighting competitive salary and bonus structures
Minimum 3 weeks of vacation
Flexible benefits plan to meet the needs of you and your family
Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
Generous company matched pension and share purchase programs
Opportunity to give back to communities in which we work, live and serve
Career growth and learning & development opportunities to develop your skills
And much more …