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Amazon Data Analyst Jobs in Quebec (NOW HIRING)

Actively contribute to the expertise and competencies of the Data & Analytics team and work closely ... Amazon Redshift, Microsoft Azure, Google BigQuery, Salesforce (or other popular CRM tools)

Data Center Technician

Montreal, QC · On-site

CA$28 - CA$30/hr

Technicien de centre de données Description du poste Amazon Web Services (AWS) connaît une ... Compétences informatiques avancées pour naviguer dans divers outils et analyser des données.

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... g., OpenAI, Amazon Bedrock, Azure equivalents) where appropriate, alongside traditional ML ... Experimentation & Continuous Improvement o Design and analyze experiments (e.g., A/B testing) to ...

Analyze data integrity and quality * Develop data cleaning strategies and prepare training datasets ... Experience with major cloud providers (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) and/or ...

Analyze data integrity and quality * Develop data cleaning strategies and prepare training datasets ... Experience with major cloud providers (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) and/or ...

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Amazon Data Analyst information

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How much do amazon data analyst jobs pay per hour?

As of Jul 3, 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 in the Amazon Data Analyst position, and why are they important?

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.

Will AI replace a Data Analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a Data Analyst involves interpreting data, providing insights, and making strategic recommendations that require human judgment. Data Analysts will increasingly work alongside AI, focusing on complex analysis, storytelling, and decision support that AI cannot fully replicate. Skills in data visualization, critical thinking, and domain knowledge remain essential for the role.

What is an Amazon Data Analyst job?

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.

Will Amazon pay you $28 an hour to work from home?

Amazon Data Analysts working remotely can earn around $20 to $30 per hour, depending on experience and location. Compensation varies based on the role, skills, and level of expertise, with some positions offering higher pay for specialized knowledge or certifications. It is advisable to review current job postings for specific salary details.

Is 40 too late for data science?

For a Data Analyst role at Amazon, transitioning into data science at age 40 is possible, especially with relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications, building portfolios, and continuous learning. Age is less a barrier than acquiring the necessary technical expertise and experience for the role.

What does a Data Analyst make at Amazon?

A Data Analyst at Amazon typically earns a salary that ranges from $60,000 to $100,000 annually, depending on experience, location, and level. They analyze large datasets using tools like SQL, Excel, and Tableau to support business decisions and improve operational efficiency.
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 June 2026, with employment types broken down into 7% Internship, 86% Full Time, and 7% Contract. Highlights an 78% In-person, 10% Hybrid, and 12% Remote job distribution, with an average salary of $64,086 per year, or $30.8 per hour.
Sr Data Analyst

Other

Posted 14 days ago


Job description

About the job

Do you think like a management consultant, thrive in a startup environment, and can't stop thinking about the intersection of data, technology, and AI?

With over  2000 employees, offices on five continents, and world-class clients like Samsung, L'Oreal, and LVMH, Artefact is a consulting firm that transforms data into value and business impact. 

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

As an Analyst with a background in marketing and media agency experience, you will play a pivotal role in the intersection of data analysis and business strategies. We are seeking a candidate who not only possesses advanced analytical skills but can also effectively engage with clients, ensuring that internal projects and client accounts are managed, aligned, and successfully executed.

Key tasks include: 

  • Conducting projects to accompany the transformation of your clients' businesses through the effective collection, processing, and visualization of data
  • Extract valuable insights from clients' marketing-related data sources to support informed decision-making.
  • Research and develop new technical approaches to address challenges efficiently in the marketing and media domain.
  • Create data visualization dashboards tailored to marketing decision-making while aligning with business requirements.
  • Actively contribute to the expertise and competencies of the Data & Analytics team and work closely with other divisions, including Media & Activation, Creation, Consulting, Data Science, and Data Engineering, to provide comprehensive services to clients.

What we are looking for 

We're looking for forward-thinkers and "quick studies" who are poised to make a significant impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption. As someone who will help build our U.S. office from the ground up, we need a data engineer who's naturally curious, independent, team-oriented, and eager to learn. We'll give you the tools and training to be successful, and you'll come armed with the following:

  • Undergraduate degree with strong academic performance
  • 2-5 years of full-time work experience in a data-driven working environment with experience or knowledge in:
    • Dashboarding: Tableau, Looker Studio, Power BI
    • Programming: Jupyter, VS code, Github
    • Programming languages: Python, R, SQL
    • Tool
    • Cloud databases
      • Amazon Redshift, Microsoft Azure, Google BigQuery, Salesforce (or other popular CRM tools)
  • Additionally, have knowledge in one or more of the following technologies:
    • You know how to connect to an API through the knowledge of the different authentication methods (OAuth, HTTP Basic, API key)
    • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
    • Web application (R-Shiny, Python Flask) that you have industrialized 
  • Have a strong business-orientation with great verbal and written communication skills; ability to represent Artefact in a client-facing capacity
  • Ability to engage with diverse team members; strong intercultural communication skills are a must
  • Advanced familiarity with Excel and PowerPoint
  • Experience using Google Suite a plus
  • Strong teaching orientation; demonstrated ability to mentor more junior members of the team

Why you should join us 

We are united by our values and strengthened by our hybrid expertise.

  • There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
  • Client trust is won on the field: Addressing client needs flows better hands on at their side.
  • If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
  • If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
  • We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.