About the role

Data Analyst developing AI-powered analytics, BigQuery models, and Tableau dashboards for Cogeco's North American telecom customers. Enabling self-service insights across marketing and operations.

Responsibilities

Act as a trusted data advisor to internal squads, answering complex business questions regarding subscriber growth, churn, revenue assurance, and operational efficiency
Deliver strategic deep-dives and executive summaries, robust performance dashboards, certified governed datasets, and Agentic AI solutions
Analyze telecom data related to ARPU, CAC, LTV, network utilization, and cross-border market dynamics
Design, test, and deploy AI agents and LLM-powered tools interfacing with the data layer
Build and optimize scalable data models for Tableau dashboards and AI/LLM interfaces
Write complex, optimized SQL queries in Google BigQuery to extract, transform, and analyze large telecom datasets
Design and maintain intuitive, high-performance Tableau dashboards
Participate in cross-functional agile squads, including sprints, stand-ups, and backlog grooming, under BI Chapter Leads

Advanced proficiency in Google BigQuery or similar cloud data warehouses
Strong portfolio of building actionable dashboards in Tableau
Familiarity with prompt engineering, LLM APIs, or AI agent frameworks such as LangChain
Python skills are a major asset
Solid understanding of star schemas and data warehousing concepts
3–5+ years in a Data Analytics, Business Intelligence, or Data Product role
Telecom or subscription-based industry experience highly preferred
Proven experience working inside agile squads and managing an analytical-request backlog
Exceptional communication skills translating technical data concepts into business recommendations
Bilingualism in English and French is a strong asset
Ability to support North American stakeholders

The opportunity to shape the future of AI-driven analytics in the telecom sector
A collaborative, mature agile environment with clear mentorship from dedicated Chapter Leads
A modern tech stack (BigQuery, Tableau, GenAI tools) with the scale of 1.5 million customers to analyze
Professional development opportunities
Health and well-being prioritized
Accommodations available during the application and recruitment process