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Data Analyst Jobs in Quebec (NOW HIRING)

Amber

Senior Data Analyst (Project Based)

Montreal, QC · On-site +1

We are looking for a senior Data Analyst that can be not only an employee of a great team but also a partner in our approaches. So, ifYOUlike challenges, working with high volume of data and ...

Soucy

Your mission will be to ensure the accuracy and integrity of product data across our various internal systems. You will help drive this process forward by analyzing and identifying opportunities for ...

Soucy

Your mission will be to ensure the accuracy and integrity of product data across our various internal systems. You will help drive this process forward by analyzing and identifying opportunities for ...

Soucy

Your mission will be to ensure the accuracy and integrity of product data across our various internal systems. You will help drive this process forward by analyzing and identifying opportunities for ...

Ludia, Inc

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 ...

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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

Data Analyst / Analyste de donnees

FlightHub

Montreal, QC • On-site

Other

Posted 24 days ago

Job description

UNCAGE YOUR AMBITION as a
Data Analyst   

We are FlightHub Group, an ambitious team of people that created FlightHub and Justfly. Our brands have grown to become two of the top-ranked travel agencies in North America. We now serve over 3 million customers per year, generating more than 3 billion dollars in sales, and we continue to grow stronger year over year. We dream big, pursue passionately, and follow through with resolute self-belief and rigorous commitment. We are a group of individuals sharing a common vision and values, having come together to pursue a collective mission: overtaking the #1 spot in the world.

We are looking for a detail-oriented and analytical Data Analyst to join our Search team, which develops and manages the decision engine behind FlightHub's search strategy. This role will focus on organizing data and building dashboards to make the search engine's inner workings transparent and measurable, while supporting internal stakeholders who are working with Search across different market segments.

Key Responsibilities

  • Organize and structure the search engine data for standardized analysis processes
  • Develop dashboards that visualize the search engine's behavior: search patterns, decision patterns, and configuration performance over time
  • Track the impact of new configurations on search performance (response quality, coverage, impact on key metrics)
  • Analyze search behavior across segments and routes to identify what drives performance differences
  • Identify anomalies or regressions in the search engine's performance and escalate with supporting data
  • Maintain data documentation and tracking systems to ensure consistent reporting and insight generation

Qualifications

  • 1-3 years of experience in data analysis, reporting, or business intelligence (travel industry experience is a strong plus)
  • Proficiency in SQL for extracting, transforming, and validating data across multiple sources
  • Strong skills in Google Sheets / Excel (pivot tables, advanced formulas, visualizations)
  • Familiarity with BI tools (Looker, Tableau, or Power BI) is a plus
  • Familiarity with Python for data aggregation, analysis, and extraction is a plus
  • Familiarity with AI assistants (e.g., ChatGPT, Claude, Gemini) for accelerating analysis and coding tasks is a plus
  • Experience organizing data for repeatable analysis workflows (ETL/ELT concepts) is a plus

Soft Skills

  • Curiosity and willingness to deeply understand complex systems
  • Attention to detail and a commitment to accuracy
  • Ability to translate technical data findings into clear explanations for non-technical stakeholders
  • Strong problem-solving skills and critical thinking ability
  • Ability to work independently and collaboratively
  • Excellent time management skills and the ability to prioritize tasks

* Please note this position is in Montreal, Quebec and on-site.  

Show us your drive and join our team!

Check us out https://corporate.flighthub.com/

 LIBEREZ VOTRE AMBITION - DEVENEZ 
Analyste de donnees

Nous sommes FlightHub Group, une equipe ambitieuse qui a cree FlightHub et Justfly. Nos marques sont devenues deux des agences de voyage les mieux classees en Amerique du Nord. Nous servons desormais plus de 3 millions de clients par an, generons plus de 3 milliards de dollars de chiffre d'affaires et continuons a nous renforcer d'annee en annee. Nous voyons grand, poursuivons nos objectifs avec passion et les realisons avec une confiance en nous inebranlable et un engagement sans faille. Nous sommes un groupe d'individus partageant une vision et des valeurs communes, qui se sont reunis pour poursuivre une mission collective : devenir le numero 1 mondial.

Nous recherchons un(e) analyste de donnees rigoureux(se) et analytique pour rejoindre notre equipe Search, qui developpe et gere le moteur de decision derriere la strategie de recherche de FlightHub. Ce poste se concentrera sur l'organisation des donnees et la creation de tableaux de bord afin de rendre le fonctionnement interne du moteur de recherche transparent et mesurable, tout en soutenant les parties prenantes internes travaillant avec Search a travers differents segments de marche.

Responsabilites principales

  • Organiser et structurer les donnees du moteur de recherche pour des processus d'analyse standardises
  • Developper des tableaux de bord permettant de visualiser le comportement du moteur de recherche : modeles de recherche, modeles de decision et performance des configurations dans le temps
  • Suivre l'impact des nouvelles configurations sur la performance de la recherche (qualite des reponses, couverture, impact sur les indicateurs cles)
  • Analyser le comportement de recherche par segment et par itineraire afin d'identifier les facteurs expliquant les differences de performance
  • Identifier les anomalies ou regressions dans la performance du moteur de recherche et les signaler avec des donnees a l'appui
  • Maintenir la documentation des donnees et les systemes de suivi afin d'assurer une production coherente de rapports et d'analyses

Qualifications

  • 1 a 3 ans d'experience en analyse de donnees, reporting ou intelligence d'affaires (une experience dans l'industrie du voyage est un atout majeur)
  • Maitrise de SQL pour extraire, transformer et valider des donnees provenant de multiples sources
  • Solides competences sur Google Sheets / Excel (tableaux croises dynamiques, formules avancees, visualisations)
  • Connaissance des outils de BI (Looker, Tableau ou Power BI) est un atout
  • Connaissance de Python pour l'agregation, l'analyse et l'extraction de donnees est un atout
  • Familiarite avec les assistants IA (ex. : ChatGPT, Claude, Gemini) pour accelerer les analyses et les taches de programmation est un atout
  • Experience dans l'organisation des donnees pour des flux d'analyse reproductibles (concepts ETL/ELT) est un atout

Competences interpersonnelles

  • Curiosite et volonte de comprendre en profondeur des systemes complexes
  • Souci du detail et engagement envers la precision
  • Capacite a traduire des resultats techniques en explications claires pour des parties prenantes non techniques
  • Excellentes competences en resolution de problemes et esprit critique
  • Capacite a travailler de maniere autonome et en equipe
  • Excellentes competences en gestion du temps et capacite a prioriser les taches

*Veuillez noter que ce poste est situe a Montreal, au Quebec et sur place.

#LI-CV

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