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Data Analyst Jobs in Quebec (NOW HIRING)

Caeus

C-IT-105 Data Analyst Intern

Montreal, QC · Hybrid

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics * Keep data separated ...

KABS

School experience in analytical chemistry; * Experience in data review a major asset; * Excellent command of English and French required, in accordance with industry requirements. The perfect ...

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All JobsData Analyst JobsData Analyst Jobs in Quebec

Data Analyst information

See Quebec salary details

$12

$34

$59

How much do data analyst jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data analyst in Quebec is $34.15, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $40.87 per hour, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Quebec? The most popular types of Data Analyst jobs in Quebec are:
What are popular job titles related to Data Analyst jobs in Quebec? For Data Analyst jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Quebec look for? The top searched job categories for Data Analyst jobs in Quebec are:
What cities in Quebec are hiring for Data Analyst jobs? Cities in Quebec with the most Data Analyst job openings:
Data Analyst jobs near you

Game Data Analyst | Analyst.e des Donnes de Jeu

Ludia

Montreal, QC • On-site

Other

PTO

Posted 19 days ago

Job description

Salary:

DESCRIPTION DE LENTREPRISE

Ludia est un studio innovant et dynamique, spcialis dans le dveloppement de jeux mobiles. Bas Montral depuis 2007, chaque mois, plus de 3,5 millions de joueurs travers le monde plongent dans nos univers. Notre portfolio combine des franchises mondiales emblmatiques et des crations originales, incluant Jurassic World Alive, Jurassic World: The Game, Dragons: Rise of Berk, Teenage Mutant Ninja Turtles: Legends, et bien dautres.


Avec plus de 500 millions de tlchargements depuis notre fondation, nous entamons un chapitre exaltant en tant que studio indpendant, o la croissance est porte par la passion de notre quipe et de nos joueurs.


DESCRIPTION DU POSTE

tes-vous une personne analytique, oriente donnes, qui aime rsoudre des problmes lintersection de lanalytique et de lIA ? Nous recherchons une Analyste de donnes de jeu pour rejoindre lquipe de production de Jurassic World: The Game. Vous serez directement intgre aux cts des chefs de produit et des designers, en tant que rfrence lorsque des dcisions doivent tre prises sur la base de donnes fiables.

Nos analystes ne se contentent pas de crer des tableaux de bord : ils utilisent Claude Code, les agents IA Databricks Genie et une architecture moderne de type lakehouse pour aller plus vite quune quipe analytique traditionnelle. Moins de temps consacr au SQL rptitif, et davantage dnergie investie dans des insights fort impact. Si vous tes passionne par la rencontre entre de solides comptences analytiques et outils aliments par lIA, ce rle est fait pour vous.


RESPONSABILITS


Stratgie de jeu & optimisation des Live Ops

  • Collaborer troitement avec lquipe de production de JWTG afin de comprendre la vision du jeu et les plans doprations mensuels.
  • Gnrer des insights pertinents en temps opportun pour soutenir lexcellence oprationnelle en gameplay et en montisation.
  • Devenir experte de Jurassic World: The Game en y jouant rgulirement et en matrisant les subtilits de son conomie, de sa progression et de lexprience joueur.


Analytique & insights

  • Concevoir et maintenir des rapports et tableaux de bord permettant de comprendre rapidement la performance du jeu.
  • Maintenir une taxonomie de donnes claire ainsi quune documentation structure des modles de donnes du jeu.
  • Transformer et affiner les donnes avec dbt et Databricks afin dalimenter des analyses rapides et fiables.
  • Concevoir et analyser des tests A/B et des exprimentations afin dvaluer limpact causal des Live Ops et des nouvelles fonctionnalits.
  • Dvelopper des modles prdictifs pour approfondir la comprhension du comportement des joueurs et de leur valeur vie.

Analytique augmente par lIA

  • Utiliser Claude Code et des outils de dveloppement assists par IA pour acclrer la rdaction de requtes SQL, les revues de code et les transformations de donnes.
  • Contribuer lamlioration et la maintenance des agents IA Databricks Genie permettant aux quipes de production daccder de manire autonome aux analyses courantes.
  • Identifier des opportunits dutiliser lIA pour rduire les tches rptitives et augmenter lefficacit analytique de lquipe.


Collaboration & alignement stratgique

  • Collaborer avec les quipes Produit, Marketing, Ingnierie et Game Design afin datteindre les objectifs daffaires grce des dcisions guides par les donnes.
  • Soutenir les initiatives danalytique en libre-service de Ludia en aidant les quipes de production utiliser efficacement les tableaux de bord et les agents IA.
  • Contribuer au programme interne de gouvernance des donnes de Ludia.


QUALIFICATIONS

Exprience et connaissances

  • Exprience en tant quanalyste ou dans un rle similaire, idalement dans le jeu vido, les applications mobiles ou les produits numriques.
  • Exprience dmontre dans le soutien des oprations en direct laide des donnes vous avez contribu optimiser un produit en production, pas seulement en faire le suivi.
  • Solide matrise de SQL, avec capacit transformer, nettoyer et analyser de grands ensembles de donnes.
  • Exprience avec des outils de visualisation de donnes tels que Tableau, Power BI ou quivalent.
  • Comprhension des principes de conception des jeux free-to-play, incluant les conomies virtuelles, les microtransactions et les boucles dengagement.
  • Vous jouez rgulirement des jeux mobiles.


Comptences additionnelles

  • Exprience avec dbt et Databricks (ou une stack moderne de type lakehouse).
  • Aisance avec les assistants de code IA (Claude Code, GitHub Copilot ou quivalent) pour acclrer le travail analytique.
  • Connaissances intermdiaires en Python pour la science des donnes ou lautomatisation.
  • Exprience dans la conception et lanalyse de tests A/B avec rigueur statistique.
  • Exprience de collaboration avec des quipes produit sur des stratgies dacquisition, de montisation ou de rtention.


POURQUOI LUDIA ?

Chez Ludia, nous croyons quun milieu de travail devrait tre aussi inspirant que les jeux que nous crons. Voici ce que tu peux attendre en nous rejoignant :

Flexibilit : Options hybrides, horaire flexible et un studio vibrant au cur du Vieux-Montral.
Bien-tre : Salaire comptitif, avantages ds le premier jour, contribution REER, vacances gnreuses et journes mobiles.
Dveloppement : Formations, mentorat, ateliers et opportunits de carrire dans lunivers du jeu vido.
Culture : Une quipe de passionnes qui cre des expriences inoubliables o linnovation et la crativit sont au rendez-vous.

Nous valorisons et clbrons la diversit au sein de notre quipe, et nous nous engageons offrir un environnement inclusif o chacune peut spanouir et partager sa perspective unique.
Nous encourageons les personnes de tous horizons postuler et nous avons hte de te rencontrer !


____________________________________________


COMPANY DESCRIPTION
Ludia is an innovative and dynamic studio specializing in mobile game development. Based in Montreal since 2007, over 3.5 million players around the world dive into our universes every month. Our portfolio combines iconic global franchises and original creations, including Jurassic World Alive, Jurassic World: The Game, Dragons: Rise of Berk, Teenage Mutant Ninja Turtles: Legends, and many more.

With more than 500 million downloads since our founding, were entering an exciting new chapter as an independent studio one where growth is fueled by the passion of our team and our players.


JOB DESCRIPTION

Are you a data-driven problem solver who wants to work at the intersection of analytics and AI? We're looking for a Game Data Analyst to join the Jurassic World:The Game production team. You'll be embedded directly alongside the product managers, and designers as the person they turn to when they need data to make fact-based decisions.

Our analysts don't just build dashboards, they use Claude Code, Databricks Genie AI agents, and a modern lakehouse stack to move faster than a traditional analytics team. Spending less time on boilerplate SQL and more time on the insights that actually move the needle. If you're excited about what happens when strong analytical fundamentals meet AI-powered tooling, this role is for you.


RESPONSIBILITIES


Game Strategy & Live Ops Optimization

  • Work closely with the JWTG production team to understand the game vision and monthly operation plans.
  • Generate timely insights to support operational excellence for gameplay and monetization.
  • Become an expert on Jurassic World: The Game by playing it regularly and understanding the intricacies of its economy, progression, and player experience.


Analytics & Insights

  • Build and maintain reports and dashboards that make game performance easy to understand at a glance.
  • Maintain clear data taxonomy and documentation for the game's data models.
  • Transform and refine data in dbt and Databricks to power fast, accurate reporting.
  • Design and analyze A/B tests and experiments to assess causal impacts of live ops and new features.
  • Build predictive models that deepen understanding of player behavior and lifetime value.


AI-Augmented Analytics

  • Use Claude Code and AI-assisted development to accelerate SQL writing, code review, and data transformation workflows.
  • Help refine and maintain Databricks Genie AI agents that enable the production team to self-serve on routine analytical questions.
  • Identify opportunities to apply AI tooling to reduce repetitive work and increase the team's analytical leverage.


Collaboration & Strategic Alignment

  • Partner with Product, Marketing, Engineering, and Game Design to ensure business objectives are met through data-driven decisions.
  • Support Ludia's self-service analytics initiatives by helping production team members use dashboards and AI agents confidently.
  • Contribute to Ludia's internal data governance program.


QUALIFICATIONS


Experience and Knowledge

  • Experience as an analyst or in a similar role, particularly within gaming, mobile apps, or digital products.
  • Proven experience supporting live operations with data you've helped a team optimize an in-market product, not just reported on it.
  • Strong proficiency in SQL, with the ability to transform, clean, and analyze large datasets.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Understanding of free-to-play game design principles, including virtual economies, microtransactions, and player engagement loops.
  • You play mobile games regularly.


Additional Skills:

  • Experience with dbt and Databricks (or a similar lakehouse / modern data stack).
  • Comfort using AI coding assistants (Claude Code, GitHub Copilot, or similar) to accelerate analytical work.
  • Intermediate Python for data science or automation.
  • Experience designing and analyzing A/B tests with statistical rigor.
  • Experience working with product teams on user acquisition, monetization, or retention strategies.


Work Type

  • Hybrid position requires being at the office for key moments
  • Eligible applicants must be located in the province of Quebec and have working rights in Canada.


WHY LUDIA?

At Ludia, we believe in creating a workplace as inspiring as the games we produce. Here's what you can expect:

Flexibility: Hybrid options, flexible hours, and a vibrant downtown Montreal studio.

Wellness: Competitive pay, day-one benefits, RRSP match, generous vacation, and mobile days.

Growth: Training, mentorship, workshops, and career opportunities in gaming.

Culture: A team of passionate gamers making memorable experiences worldwide where innovation and creativity thrives.

We value and celebrate diversity in our team, and we are dedicated to creating an inclusive environment where everyone can thrive and contribute their unique perspectives. We encourage individuals from all backgrounds to apply, and we are excited to hear from everyone!