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Analytics Engineer Jobs in Quebec (NOW HIRING)

Ce role est affiche sous le titre Analytics Engineer, avec le titre interne Data Specialist. Il s'agit d'un poste permanent a temps plein, hybride. Ce role est fait pour toi si tu veux travailler sur ...

$120 - $170/hr

H2 Analytics is redefining how professionals train for highโ€‘stakes environments through advanced ... The engineering team is 100% remote; our head office is located in Ottawa and you're welcome to ...

New

The Role As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and ...

The Role As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and ...

Ce rle est affich sous le titre Analytics Engineer, avec le titre interne Data Specialist. Il s'agit d'un poste permanent temps plein, hybride. Ce rle est fait pour toi si tu veux travailler sur des ...

Strong analytical, troubleshooting, and communication skills. Good-to-Have Skills * Automation ... Work closely with Business Analysts, Developers, and Product Owners to understand business ...

Keep reading and you'll see, the IBM i Analyst Programmer position could be just the job for you! \n \n \n \n \n \n Summary \n \n \n Reporting to the IBM i Development Director, the Senior IBM i ...

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Showing results 1-20

Analytics Engineer information

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What job categories do people searching Analytics Engineer jobs in Quebec look for? The top searched job categories for Analytics Engineer jobs in Quebec are:
Infographic showing various Analytics Engineer job openings in Quebec as of July 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 75% In-person, and 25% Remote job distribution.
Ingenieur(e) Data & Analytique

Ingenieur(e) Data & Analytique

BEEM

Montreal, QC โ€ข On-site

Full-time

PTO

Posted 17 days ago


Job description

A PROPOS DE BEEM

Chez BEEM, nous transformons la facon dont les entreprises utilisent leurs donnees, du pipeline jusqu'aux dashboards BI et a l'IA generative, pour qu'elles puissent prendre de meilleures decisions d'affaires.

Nous sommes Partenaire AWS Advanced Tier et fiers de ce qu'on a bati : une plateforme SaaS complete combinee a une equipe d'experts disponible pour accompagner nos clients selon leurs besoins. Des entreprises comme Le Groupe Maurice, EMD Batimo et Coffrages Synergy nous font confiance. Nos clients ne gerent pas d'infrastructure et voient des resultats concrets sans attendre des mois.

Et l'ambiance chez BEEM ? Un parfait equilibre entre croissance professionnelle, moments de rire et esprit d'equipe fort. On sait aussi apprecier les petits plaisirs, comme un verre de vin ou de scotch le jeudi apres-midi !


LE ROLE

On est en mode scale-up, portes par une demande client reelle et on fait grandir notre equipe d'experts data et IA.

On cherche quelqu'un qui aime batir des pipelines solides, modeliser des donnees proprement et livrer des solutions qui tiennent en production. Quelqu'un qui n'a pas peur de parler aux clients pour comprendre ce qu'ils ont besoin de voir dans leurs donnees.

Ce role est affiche sous le titre Analytics Engineer, avec le titre interne Data Specialist. Il s'agit d'un poste permanent a temps plein, hybride.

Ce role est fait pour toi si tu veux travailler sur des problemes data reels chez des clients varies et voir l'impact direct de ton travail en production. Si tu cherches un role uniquement en recherche ou en data science theorique, ce n'est pas ce poste.


CE QUE TU VAS FAIRE

Ingenierie et modelisation

  • Concevoir, construire et maintenir des pipelines de donnees fiables et scalables sur AWS
  • Modeliser les donnees : couches de transformation, modeles dimensionnels, couches semantiques pretes pour le BI
  • Ecrire du SQL analytique avance et travailler avec des outils comme dbt pour structurer les transformations
  • Assurer la qualite des donnees : tests, documentation, monitoring des pipelines
  • Contribuer a l'evolution de la plateforme BEEM et a son deploiement chez les clients

Livraison et contact client

  • Comprendre les besoins d'affaires des clients et les traduire en architecture de donnees concrete
  • Participer aux rencontres clients pour valider les livrables et presenter les solutions
  • Documenter les mandats et proposer des ameliorations continues
  • Collaborer avec les conseillers solutions pour assurer la coherence de bout en bout


CE QU'ON RECHERCHE

  • Minimum 3 ans en analytics engineering, data engineering ou developpement BI avec livraison en production
  • Maitrise du SQL analytique avance et experience en modelisation de donnees
  • Git au quotidien : branching, PR, code review, c'est ta realite
  • Experience avec dbt ou un outil equivalent de transformation de donnees
  • Confort avec AWS (ou Azure) et les environnements cloud natifs
  • Capacite a communiquer tes solutions a des interlocuteurs non techniques
  • Communication bilingue FR/EN

Atouts

  • Experience avec Airflow, Prefect ou un orchestrateur de pipelines
  • Confort avec Docker et les environnements CI/CD
  • Experience en viz BI (Power BI, Metabase ou equivalent)
  • Experience ou interet pour l'IA generative appliquee a la data (agents, Claude et Bedrock)
  • Tu aimes partager tes connaissances et faire grandir l'equipe autour de toi


CE QU'ON T'OFFRE

  • Un salaire competitif qui reconnait ton expertise
  • 3 semaines de vacances payees flexibles + 1 semaine de conges fetes + 2 semaines flexibles non payees
  • 5 jours de bien-etre par an et conges maladie illimites parce que ta sante passe en premier
  • Teletravail flexible : on se voit minimum 2 jours par semaine au bureau
  • Assurance collective via Beneva, telemedecine via Dialogue et REER avec cotisation employeur via iA Groupe Financier
  • MacBook personnel - oui oui, on travaille pas sur Windows (sorry si jamais! )
  • Budget annuel rembourse pour ta formation et ta croissance professionnelle
  • Prime si tu nous referes quelqu'un qu'on embauche
  • Retraite annuelle, 5 a 7 du jeudi et un comite de bien-etre actif parce que oui on travaille fort, mais on sait quand deconnecter aussi
  • Un espace de travail ouvert et moderne dans le Vieux-Port de Montreal
  • Une equipe de vrais passionnes : la vibe chez BEEM c'est notre plus grand atout !

Nous remercions tous les candidats pour leur interet. Seules les personnes selectionnees pour un screen call seront contactees.

L'usage du masculin n'a pour but que d'alleger le texte.

__________


ABOUT BEEM

At BEEM, we transform the way businesses use their data, from pipelines to BI dashboards and generative AI, so they can make better business decisions.

We are an AWS Advanced Tier Partner and proud of what we've built: a complete SaaS platform combined with a team of experts available to support our clients. Companies like Le Groupe Maurice, EMD Batimo and Coffrages Synergy trust us. Our clients don't manage infrastructure and see concrete results without waiting months.

And the atmosphere at BEEM? A perfect balance of professional growth, laughs and strong team spirit. We also know how to enjoy the little things, like a glass of wine or scotch on Thursday afternoons!


THE ROLE

We're in scale-up mode, driven by real client demand and growing our team of data and AI experts.

We're looking for someone who loves building solid pipelines, modeling data properly and delivering solutions that hold in production. Someone who isn't afraid to talk to clients to understand what they need to see in their data.

This role is posted as Analytics Engineer, with the internal title of Data Specialist. This is a permanent full-time hybrid position.

This role is for you if you want to work on real data problems for diverse clients and see the direct impact of your work in production. If you're looking for a purely research or theoretical data science role, this isn't that role.


WHAT YOU'LL DO

Engineering & Modeling

  • Design, build and maintain reliable and scalable data pipelines on AWS
  • Model data: transformation layers, dimensional models, semantic layers ready for BI consumption
  • Write advanced analytical SQL and work with tools like dbt to structure transformations
  • Ensure data quality: testing, documentation, pipeline monitoring
  • Contribute to the evolution of the BEEM platform and its deployment at client sites

Delivery & Client Engagement

  • Understand clients' business needs and translate them into concrete data architecture
  • Participate in client meetings to validate deliverables and present solutions
  • Document mandates and continuously recommend improvements
  • Collaborate with solutions advisors to ensure end-to-end consistency


WHAT WE'RE LOOKING FOR

  • Minimum 3 years in analytics engineering, data engineering or BI development with production delivery
  • Advanced analytical SQL proficiency and experience in data modeling
  • Git is part of your daily workflow: branching, PRs, code reviews are your reality
  • Experience with dbt or an equivalent data transformation tool
  • Comfort with AWS (or Azure) and cloud-native environments
  • Ability to communicate your solutions to non-technical stakeholders
  • Bilingual FR/EN communication

Bonus Points

  • Experience with Airflow, Prefect or a pipeline orchestrator
  • Comfort with Docker and CI/CD environments
  • Experience with BI viz (Power BI, Metabase or equivalent)
  • Experience or genuine interest in applied generative AI (agents, Claude and Bedrock)
  • You love sharing knowledge and helping the team grow


WHAT WE OFFER

  • A competitive salary that recognizes your expertise
  • 3 paid flexible vacation weeks + 1 holiday week + 2 unpaid flexible weeks
  • 5 wellness days per year and unlimited sick leave because your health comes first
  • Flexible remote work: we meet minimum 2 days per week in the office
  • Group insurance via Beneva, telemedicine via Dialogue and RRSP with employer contribution via iA Groupe Financier
  • Personal MacBook - yup, we don't work on Windows (sorry if ever! )
  • Annual budget reimbursed for your training and professional growth
  • Referral bonus if you send someone our way and we hire them
  • Annual team retreat, Thursday happy hours and an active wellness committee because yes we work hard but we know when to disconnect
  • An open and modern workspace in the Old Port of Montreal
  • A team that genuinely loves what they do: the vibe at BEEM is our greatest asset!


We thank all applicants for their interest. Only those selected for a screen call will be contacted.