Analyst, BI & Data

Cogeco, Inc.

• $75K — $90K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in Data Analytics, Business Intelligence, or Data Product roles, preferably in telecom or subscriptions.
  • Advanced SQL proficiency in Google BigQuery for massive datasets.
  • Proficient in creating actionable dashboards using Tableau.
  • Familiar with AI and automation frameworks, such as prompt engineering or LLM APIs; Python skills are advantageous.
  • Solid understanding of data modeling concepts like star schemas for optimized data consumption.

Responsibilities

  • Act as a data advisor translating complex telecom data into actionable insights.
  • Deliver high-impact reports, interactive dashboards, and self-service data tools for internal users.
  • Analyze data workloads related to telecom performance metrics like ARPU and CAC.
  • Design and deploy AI agents to automate data queries and enhance stakeholder access.
  • Write optimized SQL queries to manage cloud-based telecom data and derive insights.
  • Collaborate in agile sprints with cross-functional teams to prioritize analytics tasks.

Benefits

  • Opportunity to influence AI-driven analytics in the telecom industry.
  • Mentorship in a supportive agile environment from experienced Chapter Leads.
  • Access to a modern tech stack to analyze data from 1.5 million customers.
Full Job Description
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

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