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Amazon Data Analyst Jobs in Quebec (NOW HIRING)

... data and machine learning pipelines that power our AI and analytics platforms. This is a deeply ... Kedro, EventBridge, AWS Batch, Amazon EKS, Karpenter, Kueue, Fargate * MLOps: MLflow, Docker, ECR ...

Integration & Data Enablement * Support analysis and documentation of system integrations between ... Nice to Have: * Experience supporting CCaaS migrations or Amazon Connect implementations.

Javascript Developer

Montreal, QC · On-site +1

  • Medical

  • Dental

... transfer of data. Our amazing Developers are curious learners, and initiative takers with an ... Design a customized solution for Best Choice Products, Amazon's biggest seller, to optimize the ...

... and data encryption schemes Container & Cluster Security * Own the security of Amazon EKS ... Proficient in CloudWatch for log analysis, metric monitoring, and automated alerting * Proficient ...

... and data encryption schemes Container & Cluster Security * Own the security of Amazon EKS ... Proficient in CloudWatch for log analysis, metric monitoring, and automated alerting * Proficient ...

Senior Network/Infrastructure engineer

Montreal, QC · On-site

CA$120K - CA$160K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Strong analytical and problem-solving abilities * Ability to collaborate with cross-functional ... Experience with Google Cloud Platform or Amazon Web Services * Understanding of information ...

Participer à l'analyse des besoins d'affaires et des sources de données; . Concevoir, développer ... Azure Data Factory (ADF), Microsoft Fabric, dbt, Databricks ou technologies similaires; Plateformes ...

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Amazon Data Analyst information

See Quebec salary details

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How much do amazon data analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for amazon data analyst in Quebec is $30.81, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $33.65 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon data analyst?

To thrive as an Amazon Data Analyst, you need strong analytical skills, experience with statistical methods, and a relevant degree in fields such as Data Science, Mathematics, or Computer Science. Proficiency with SQL, Python, Excel, and data visualization tools like Tableau or AWS QuickSight, along with certifications in data analytics or cloud platforms, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills enable you to translate complex data into actionable insights for stakeholders. These competencies are critical for driving data-driven decision-making and supporting Amazon's fast-paced, results-oriented business environment.

What is an Amazon data analyst?

An Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. They work with teams across the company to identify trends, optimize processes, and improve efficiency using data-driven insights. Their role often involves using SQL, Python, Excel, and visualization tools like Tableau or Power BI. Strong analytical skills and attention to detail are essential for making informed recommendations that impact operations, sales, or customer experience.

What are some typical challenges Amazon data analysts face, and how can they overcome them?

Amazon Data Analysts often work with large, complex datasets and must ensure the accuracy and reliability of their analyses in a fast-paced environment. Navigating multiple data sources, integrating new technologies, and adapting to changing business priorities are common challenges. Successful analysts proactively collaborate with cross-functional teams, stay up to date on the latest analytical tools, and prioritize effective communication to translate technical findings into business recommendations. Seeking mentorship and ongoing learning opportunities can also help analysts stay ahead in this dynamic role.

How to get a job in Amazon as a data analyst?

To become a data analyst at Amazon, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science. Relevant skills include proficiency in SQL, Python, or R, and experience with data visualization tools like Tableau. Gaining experience through internships or certifications can improve chances, and applying through Amazon's careers website or networking can help secure an interview.

What are top 3 soft skills for an Amazon Data Analyst?

The top three soft skills for an Amazon Data Analyst are strong communication skills to clearly present data insights, problem-solving abilities to interpret complex data, and adaptability to work with evolving tools and datasets. These skills are essential for collaborating with teams and making data-driven decisions in a fast-paced environment.

What are popular job titles related to Amazon Data Analyst jobs in Quebec?

For Amazon Data Analyst jobs in Quebec, the most frequently searched job titles are:

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

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

Infographic showing various Amazon Data Analyst job openings in Quebec as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $64,086 per year, or $30.8 per hour.

Conseiller.ere en ingenierie de donnees

Levio

Montreal, QC • On-site

Full-time

Re-posted 8 days ago


Job description

Vous souhaitez vous epanouir dans un environnement de travailstimulant ?Joignez-vous au leader en transformation numerique et boostez votre carriere chezLevio. Nous vous proposons une opportunite unique de developper votre savoir-faire au sein d'une equipe de haut calibre. 

La variete des defis proposes par nos clients vous donnera l'occasion de vous depasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matiere de technologies et de solutions logicielles.  


DESCRIPTION DU POSTE : 

Nous sommes a la recherche d'un(e) Conseiller.ere en ingenierie de donnees pour differents projets d'envergure. Le conseiller en ingenierie de donnees maitrise de bout en bout les environnements de production, d'extraction, de nettoyage et d'exploitation des donnees. Il concoit, construit et maintient les infrastructures de donnees pour assurer la collecte, le stockage, et l'analyse efficace des donnees au sein de l'entreprise.  

ROLE ET RESPONSABILITES : 

  • Recueillir les besoins analytiques exprimes par les utilisateurs ;
  • Designer et realiser des pipelines d'ingestion et de transformation de donnees ;
  • Mettre en uvre des solutions de lac de donnees, entrepot de donnees, comptoir de donnees ;
  • Effectuer des specifications et de la documentation de mapping de donnees ;
  • Contribuer au developpement des methodes et documenter les solutions techniques ;
  • Assurer la performance, la securite et la fiabilite des infrastructures de donnees. 

COMPETENCES ESSENTIELLES 

  • Comprehension des processus ETL : Expertise dans les processus d'extraction, de transformation et de chargement des donnees ;
  • Connaissance de l'architecture moderne des donnees. Maitrise au minimum un des ecosystemes de donnees infonuagiques suivants:
    • Microsoft Azure: Fabric, Data Factory, Synapse Analytics, Power BI, et Azure Data Lake 
    • Amazon Web Services (AWS): Amazon Redshift, QuickSight, et AWS Glue  
    • Snowflake
    • IBM Cloud:  IBM Cognos Analytics et IBM Db2 Warehouse
    • Connaissance des bases de donnees, langages SQL, procedures/fonctions stockees  
  • Maitriser SSIS et le langage SQL, procedures/fonctions stockees ;
  • Maitriser les concepts et la pratique lies a la modelisation de donnees ;
  • Maitriser les langages de programmation Python, Java, DAX.

QUALIFICATIONS ET EXPERIENCE : 

  • Baccalaureat en informatique, en genie logiciel, ou dans une discipline appropriee enrichi d'un programme specifique en intelligence d'affaires ;
  • Experience d'au moins 7 ans et plus dans le domaine de l'intelligence d'affaires ;
  • Detenir une certification a jour sur un des ecosystemes de donnees infonuagiques suivants : Microsoft Azure; Amazon Web Services (AWS), Snowflake, IBM Cloud  (atout)
  • Connaissance des principes de developpement Agile ;
  • Esprit d'equipe, capacite a aider ses collegues et a partager ses connaissances au profit de l'equipe ;
  • Autonomie, rigueur et oriente client. 

AVANTAGES SOCIAUX : 

Leviooffre plusieurs avantages dans le but d'offrir la plus grande flexibilite possible a sesemployes!En plus d'offrir un environnement de travail stimulant et dynamique, nous offrons entre autres : 

  • 4 semaines de vacances cumulables des l'embauche
  • Horaires flexibles
  • Une allocation de developpement professionnel (ADP) utilisable pour des formations, de l'equipement informatique et des activites physiques 
  • Formations adaptees a vos domaines d'expertise
  • Regime Enregistre d'Epargne Retraite (REER) avec contribution employeur jusqu'a un maximum de 3% de votre salaire brut.
  • Des assurances collectivesmodulables
  • Le transport en commun ou le stationnement est rembourse lorsque requis
  • Des primes au referencementde nouveaux candidats
  • 11 conges feries 
  • Des conges personnels
  • Une vie sociale active (5 a 7, club social, cafes et collations sante, etc.)

Statut du poste : Temps plein, permanent 

Levio souscrit au principe d'equite en emploi et applique un programme d'acces a l'egalite en emploi pour les femmes, les autochtones, les minorites visibles, les minorites ethniques et les personnes en situation d'handicap. 

Levio valorise la diversite et de l'inclusion et vise a creer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employes au succes de notre entreprise. En tant qu'employeur qui s'engage a respecter l'equite en matiere d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent a tous les aspects du processus de selection. 

Le genre masculin est utilise sans aucune discrimination et dans le seul but d'alleger le present texte.