2

No Experience Data Analytics Jobs in Quebec (NOW HIRING)

$120 - $160/hr

Experience guiding the data formulation process and exploratory data analysis. * Evidence of thought leadership in defining innovative analytics within multiple complex applications spanning ...

Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing ... Strong experience with SQL and business intelligence tools like Looker or Tableau. You should be ...

Data Engineer

Montreal, QC · On-site +1

CA$80 - CA$85/hr

... no problem switching between multiple programming languages, and who is able to find out-of-the-box ... fulfill analysts and data scientists requirements Experience in data profiling Experience in ...

Years of experience: 2 to 3 years of experience in a similar role. Technical skills: * Excellent proficiency in Excel: features, advanced formulas, and analysis. * Skills in data management ...

\n \n \n \n \n \n We are looking for an experienced data developer to support a new analytics platform in production and contribute to its upcoming release within a large financial services ...

... client experience. Our ambition is to sustain our growth and strengthen our reputation as a ... Help deepen our understanding of members and clients through data valorization and analysis to ...

next page

Showing results 1-20

No Experience Data Analytics information

What is the difference between No Experience Data Analytics vs Data Analyst?

AspectNo Experience Data AnalyticsData Analyst
Required CredentialsNone or basic certificationsBachelor's degree in related field, certifications preferred
Work EnvironmentEntry-level, training-focused, often in tech or financeOffice-based, collaborative, project-driven
Employer & Industry UsageStartups, internships, entry-level roles across industriesEstablished companies, mid-level roles in various sectors
Search & Comparison IntentUnderstanding entry points, beginner rolesCareer progression, skill requirements

In summary, No Experience Data Analytics roles are designed for beginners with minimal or no prior experience, often requiring basic certifications and offering training. Data Analysts typically have relevant education and experience, working in more structured environments. Both roles serve different stages of a data analytics career path.

What are the key skills and qualifications needed to thrive as a Data Analyst with no prior experience, and why are they important?

To thrive as a Data Analyst without prior experience, you need a solid understanding of basic statistics, data visualization, and spreadsheet proficiency, often supported by a relevant degree or online coursework. Familiarity with tools like Microsoft Excel, SQL, and introductory data analytics platforms such as Tableau or Google Data Studio is common. Strong problem-solving, curiosity, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills enable you to analyze data accurately, support decision-making, and demonstrate potential for growth in analytics roles.

What types of entry-level tasks can someone expect in a No Experience Data Analytics role?

In a No Experience Data Analytics position, you can expect to start with foundational tasks such as cleaning and organizing datasets, creating basic data visualizations, and assisting with simple report generation. You may also help with data entry, validating data accuracy, and supporting senior analysts in data collection projects. These responsibilities help you build technical skills and familiarity with analytical tools, while working closely with more experienced team members who provide guidance and mentorship. Over time, you’ll have opportunities to take on more complex analyses as your confidence and skill set grow.

What are 'No Experience Data Analytics' jobs?

'No Experience Data Analytics' jobs are entry-level positions in the field of data analytics that do not require prior professional experience in analytics or data science. These roles are designed for beginners and often focus on teaching foundational skills, such as data cleaning, basic analysis, and using analytics tools like Excel or Tableau. Employers may look for candidates with strong problem-solving abilities, attention to detail, and a willingness to learn. Many of these jobs offer on-the-job training or require completion of online courses or certifications. They provide a pathway for individuals to start a career in data analytics, even if they have just graduated or are switching fields.
What are the most commonly searched types of Data Analytics jobs in Quebec? The most popular types of Data Analytics jobs in Quebec are:
What are popular job titles related to No Experience Data Analytics jobs in Quebec? For No Experience Data Analytics jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching No Experience Data Analytics jobs in Quebec look for? The top searched job categories for No Experience Data Analytics jobs in Quebec are:
What cities in Quebec are hiring for No Experience Data Analytics jobs? Cities in Quebec with the most No Experience Data Analytics job openings:
Infographic showing various No Experience Data Analytics job openings in Quebec as of July 2026, with employment types broken down into 50% Full Time, 33% Part Time, and 17% Contract. Highlights an 83% In-person, and 17% Hybrid job distribution.

Stage - Tracking, data & analytics

Integral

Montreal, QC

Other

Re-posted 13 days ago


Job description

A PROPOS DE DIGITAD

Digitad se positionne dans le Collectif comme l'agence de performance numerique. Lancee par le referencement payant en 2015, l'equipe s'est consolidee a travers le temps ce qui nous a permis de developper de multiples expertises. Notre but: pouvoir nous positionner comme strateges pour nos partenaires d'affaires puis les accompagner sur les expertises qui auront le plus de valeur ajoutee pour eux.


DIGITAD EST UNE AGENCE DU COLLECTIF INTEGRAL

Depuis 2015, le collectif Integral s'engage jour apres jour aupres des entreprises au Canada, aux Etats-Unis et en Europe. Notre mission: Assurer la transformation des entreprises face a l'acceleration du numerique et de l'IA.

Rejoindre le collectif Integral, c'est s'engager au cur d'un projet entrepreneurial ou la reconnaissance, l'evolution, la performance et la stimulation intellectuelle sont celebrees au quotidien. C'est aussi s'immerger dans le premier ecosysteme numerique quebecois compose de 70 passionnes regroupes autour de 3 agences:

  • Digitad (Performance):Marketing numerique (SEO, SEM, Publicite Sociale etc), developpement de site web et plateformes e-commerce
  • La Fusee (Formation):Formations de marketing numerique et IA (formations individuelles et privees, etc)
  • Genia (IA et Technologie):Accompagnement des entreprises petites et grandes dans leur transition IA (evaluation IA, implementation des outils, conduite du changement)


Nous sommes presentement a la recherche d'un ou d'un stagiaire pour notre pole Tracking donc voici les details :


Informations sur le stage et profil recherche

Principales missions

  • Strategie :
    • Participation a l'analyse des besoins clients en matiere de collecte, d'analyse et de suivi des donnees
    • Contribution a la gestion de projet en lien avec le client (suivi de l'avancement, planning, strategie de test, livrables) sur les problematiques de collecte de donnees Analytics et Media
    • Appui au developpement et a la mise en place de strategies de collecte de donnees alignees avec les objectifs d'affaires
  • Operations :
    • Contribuer a la configuration et a la maintenance de proprietes Google Analytics 4 (GA4) et Google Tag Manager (GTM) pour assurer un suivi precis du comportement des utilisateurs et des conversions
    • Participation a la creation de solutions numeriques pour la collecte et l'analyse des donnees (dashboards de reporting, automatisation...)
    • Appui a la conception de modeles de donnees et a la mise en place d'outils de visualisation
    • Initiation au developpement de scripts et de requetes SQL pour la transformation des donnees et l'automatisation des processus
    • Contribution a la mise en uvre technique du tracking de sites web/mobile ou app clients
    • Decouverte des architectures Server-Side : initiation au deploiement de solutions Google Tag Manager Server-Side (sGTM) via Google Cloud Platform


Profil recherche

Competences professionnelles :

  • Etudiant(e) en marketing digital, informatique, statistiques ou domaine connexe
  • Une premiere experience ou des connaissances en tracking de donnees ou cybermetrie est un atout
  • Bonne comprehension du suivi du comportement des utilisateurs, des transactions et des interactions sur un site web
  • Connaissance des plateformes de publicite numerique (Google Ads, Facebook Ads) appreciee
  • Notions sur les outils de reporting web : Google Analytics, Search Console, Looker Studio
  • Curiosite pour les outils d'IA et d'automatisation (LLM, N8N, Make/Zapier...)
  • Interet pour les outils de gestion des tags et de consentement : GTM, Didomi, Axeptio, etc.
  • Bonne culture web, marketing et forte affinite avec les nouvelles technologies
  • Bilingue Francais / Anglais


Qualites humaines :

  • Tu possedes une bonne aisance relationnelle, bien que la majeure partie du travail se fasse en autonomie
  • Tu as l'esprit analytique et tu apprecies le travail d'equipe
  • Tu es passionne(e) par le digital et la tech
  • Tu fais preuve de rigueur, d'efficacite, tu as le sens du detail et tu aimes travailler en multi-projet, avec une bonne capacite de priorisation


LA VIE CHEZ INTEGRAL

Les avantages dont beneficient les membres de l'equipe chez Digitad:

  • Semaine de 4,5 jours avec fermeture des bureaux le vendredi apres-midi
  • Travail hybride
  • De nombreux evenements d'equipe : potlucks, partys, 5@7...
  • 2 Petday par semaine pour amener ton animal de compagnie au bureau (ou rencontrer celui de tes collegues)
  • 1 Offsite annuel en equipe


Le projet te stimule et tu souhaites decouvrir une agence dans laquelle tu peux developper tes competences ?

Nous souhaitons te rencontrer ! Fais nous parvenir tes experiences passees (CV) et commencons a faire connaissance.