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Data Assistant Jobs in Quebec (NOW HIRING)

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 ...

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 ...

Document data requirements, analyze datasets, and assist with data integrity and quality checks. * Investigate data-related issues and collaborate with stewards and technical teams to support ...

The Data & Analytics group is looking for a Data Architect with, BI and AI expertise who will be ... itself * Assist sales efforts as SME from the D&A practice by meeting prospects and customers ...

Data Governance Analyst

Quebec, QC · On-site +1

CA$126/hr

The Data Governance Analyst plays a key role in defining, implementing, and sustaining the ... Agropur uses artificial intelligence technology to assist our recruiters in screening, assessing ...

Data Developer II

Sherbrooke, QC · On-site

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM ... assist you based on your individual needs. Global Excel offers more than a position; * We offer a ...

What you'll do FGL Sports is seeking a Data Integrity Clerk to support the organization's business ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

What you'll do FGL Sports is seeking a Data Integrity Clerk to support the organization's business ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM ... assist you based on your individual needs. We offer you Global Excel offers more than a position;

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Showing results 1-20

Data Assistant information

See Quebec salary details

$7

$19

$36

How much do data assistant jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data assistant in Quebec is $19.78, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $20.19 per hour, depending on experience, location, and employer.

What is a data assistant?

Data Assistants are professionals who support data management processes within an organization. Their responsibilities typically include collecting, entering, cleaning, and maintaining data to ensure its accuracy and accessibility. They often work with spreadsheets, databases, and specialized software to organize and analyze information, making it easier for teams to make data-driven decisions. Data Assistants may also help prepare reports and collaborate with other departments to support research or business operations.

What are the key skills and qualifications needed to thrive as a data assistant, and why are they important?

To excel as a Data Assistant, you need strong attention to detail, proficiency in data entry, and a basic understanding of data management principles, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software such as Microsoft Excel, database platforms, and data visualization tools is typically required. Excellent organizational skills, reliability, and effective communication set top performers apart in this role. These abilities are vital for ensuring data accuracy, supporting efficient workflows, and facilitating informed decision-making within organizations.

What are some common challenges data assistants face when managing large datasets, and how can they overcome them?

Data Assistants often encounter challenges such as data inconsistencies, missing information, and time-consuming data entry tasks when handling large datasets. To overcome these issues, it’s important to develop strong attention to detail, utilize data validation tools, and follow established data management protocols. Collaborating closely with data analysts and IT teams can also help identify and resolve data quality problems more efficiently, ensuring that the information remains accurate and reliable for stakeholders.

What is the difference between Data Assistant vs Data Analyst?

AspectData AssistantData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data-related fields; certifications like Microsoft Excel or SQL are common
Work EnvironmentOffice settings, data entry centers, or remoteOffice environments, research firms, or corporate settings
Employer & Industry UsageAdministrative support in various industries, including healthcare, education, and retailData-driven decision making in finance, marketing, healthcare, and tech

While Data Assistants focus on data entry, organization, and basic support tasks, Data Analysts interpret data to provide insights and strategic recommendations. Both roles are essential but differ in complexity and scope.

What are the most commonly searched types of Data jobs in Quebec?

The most popular types of Data jobs in Quebec are:

What job categories do people searching Data Assistant jobs in Quebec look for?

The top searched job categories for Data Assistant jobs in Quebec are:

What cities in Quebec are hiring for Data Assistant jobs?

Cities in Quebec with the most Data Assistant job openings:

Infographic showing various Data Assistant job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 9% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $41,139 per year, or $19.8 per hour.

Analyst, BI & Data

Cogeco

Montreal, QC • Hybrid

Full-time

Posted 16 days ago


Job description

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:RegularJob 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 Responsibilities1. 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 & SkillsTechnical 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.

#LI-KN1

#LI-HybridLocation :Burlington, ONCompany :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 inclusion@cogeco.com