Analyst, BI & Data

Our culture lifts you up—there is no ego in the way. Our common purpose? We all want to win for our customers. We aim to always be evolving, dynamic, and ambitious. We believe in the power of genuine connections. Each employee is a part of what makes us unique on the market: agile and dedicated. Time Type: Regular Job Description : Role Overview 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. Key Responsibilities 1. Advanced Analytics & Solution Delivery 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). 2. AI & Data Product Innovation 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. 3. Technical Execution & Agile Collaboration 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. Qualifications & Skills Technical Toolkit 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 & Soft Skills 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. Language: Bilingualism (English and French) is a strong asset due to our market presence in Quebec, Ontario and USA. What We Offer 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. Location : Burlington, ON Company : Cogeco Connexion Inc At Cogeco, we know that different backgrounds, perspectives, and beliefs can bring critical value to our business. The strength of this diversity enhances our ability to imagine, innovate, and grow as a company. So, we are committed to doing everything in our power to create a more diverse and inclusive world of belonging. By creating a culture where all our colleagues can bring their best selves to work, we’re doing our part to build a more equitable workplace and world. From professional development to personal safety, Cogeco constantly strives to create an environment that welcomes and nurtures all. We make the health and well-being of our colleagues one of our highest priorities, for we know engaged and appreciated employees equate to a better overall experience for our customers. If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at [email protected]

The analyst will bridge the gap between complex telecom data and strategic execution by providing deep-dive analyses and executive metrics. They will also pioneer the integration of Agentic AI tools and automated workflows to democratize data access for internal stakeholders.

Candidates must have 3-5 years of experience in data analytics or business intelligence, with strong proficiency in SQL and Tableau. Experience in the telecom industry and familiarity with AI/LLM frameworks are highly preferred.

• Data visualizationPreferred
• SQLPreferred
• TableauPreferred
• Data analysisPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• SQL
• Google BigQuery
• Tableau
• Data Analysis
• Business Intelligence
• Python
• Data Modeling
• Prompt Engineering
• LLM APIs
• LangChain
• Data Warehousing
• Agile Methodology
• Telecom Analytics
• Data Visualization
• Strategic Planning
• Market Dynamics
• Agentic AI
• Operational Efficiency
• Generative Artificial Intelligence
• Advanced Analytics
• Workflow Automation
• Bilingual (French/English)
• Data Access
• AI Agents
• Application Programming Interface (API)
• Artificial Intelligence
• Automation
• Telecommunications
• Dashboard
• Customer Acquisition Management
• Communication
• Consultative Approaches
• Data Integrity
• Preparing Executive Summaries
• Sales
• Marketing
• Scalability
• Innovation
• Python (Programming Language)
• Loan-To-Value Ratios
• Mentorship
• Operations
• Product Innovation
• Revenue Assurance
• Self Service Technologies
• SQL (Programming Language)
• Tableau (Business Intelligence Software)
• Data Layers
• Solution Delivery
• Star Schema

• Data & Analytics
• Technology
• Software
• Consulting
• Business Intelligence Data Analyst
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Minimum experience

2+ years

Posting language

English

Working hours

38 hours per week