Analyst, BI & Data

Cogeco • Montreal, QC

1d • Hybrid

About The Position

As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the gap between complex telecom data and strategic execution. Embedded in an agile environment, you will work across our core domains (Executive Metrics & Revenue, Sales & Marketing, or Operations) to support our growing base of 1.5M+ customers across Canada and the US. Your mandate goes beyond traditional reporting. You will not only empower internal stakeholders with robust dashboards and deep-dive analyses but also pioneer the next generation of self-service analytics by developing and integrating Agentic AI tools (e.g., AI data assistants, automated insight agents) into our data ecosystem.

Requirements

• SQL Mastery: Advanced proficiency in Google BigQuery (or similar cloud data warehouses) handling massive data volumes.
• Data Visualization: Strong portfolio of building actionable dashboards in Tableau.
• AI & Automation (The Frontier): Familiarity with prompt engineering, LLM APIs, or framework development (e.g., LangChain, custom AI agents) to build data-querying bots. Python skills are a major asset.
• Data Modeling: Solid understanding of star schemas, data warehousing concepts, and preparing data for consumption by both humans and AI models.
• Experience: 3–5+ years in a Data Analytics, Business Intelligence, or Data Product role. Experience in Telecom or subscription-based industries is highly preferred.
• Agile Mindset: Proven experience working inside agile squads and managing a backlog of analytical requests.
• Consultative Approach: Exceptional communication skills with the ability to translate technical data jargon into clear business recommendations for North American stakeholders.

Nice To Haves

• Bilingualism (English and French) is a strong asset due to our market presence in Quebec, Ontario and USA.

Responsibilities

• Translate Data into Value: Act as a trusted data advisor to internal squads, answering complex business questions regarding subscriber growth, churn, revenue assurance, and operational efficiency.
• Modern Deliverables: Support internal customers by delivering outcomes through four primary channels: Reports & Decks: High-impact, strategic deep-dives and executive summaries. Interactive Tools: Traditional, robust dashboards that monitor health and performance. Governed Self-Service Data: Design and provision certified, highly optimized, and well-documented datasets. This enables data-savvy power users across marketing and operations to safely build their own ad-hoc analyses without risking data integrity. Agentic AI Solutions: Innovative AI-driven assistants or automated workflows that allow stakeholders to converse with data and fetch immediate insights.
• Telecom Insights: Analyze heavy data workloads related to ARPU (Average Revenue Per User), CAC (Customer Acquisition Cost), LTV, network utilization, and cross-border market dynamics (Quebec/Ontario vs. US).
• Agentic AI Integration: Design, test, and deploy AI agents and LLM-powered tools that interface with our data layer to automate routine queries and democratize data access.
• Modern BI Modeling: Build and optimize scalable data models specifically structured to feed both visual dashboards (Tableau) and AI/LLM interfaces.
• Cloud Data Warehousing: Write complex, highly optimized SQL queries in Google BigQuery to extract, transform, and analyze massive telecom datasets.
• Data Visualization: Design and maintain intuitive, high-performance dashboards in Tableau.
• Agile Methodology: Actively participate in cross-functional marketing or operational squads (sprints, stand-ups, grooming) under the guidance of BI Chapter Leads.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed