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Senior Data Analyst Jobs in Quebec (NOW HIRING)

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 ...

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 ...

We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D's new AI Hub. The ideal candidate will combine strong expertise in machine learning, statistical modeling ...

Develop analytical models to support regulatory oversight of investments in the wealth Management ... other Senior Data Scientists. Our team stands out for its innovation, agility and in-depth ...

Senior Data Scientist Montréal, Canada The Sr. Data Scientist will conduct detailed analysis of data sets and provide advanced analytics solutions to solve business problems, whilst leveraging ...

Data Analyst Reports To: Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing software company with a mission to make buying, selling, and delivering out ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a ... Position Summary About the Role We are looking for a founding Senior Data Scientist to help build ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

A career as a Senior Data scientist in the models, Technology and Transformation team at National ... Your analytical skills, multidisciplinary teamwork experience and modelling knowledge will have a ...

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Senior Data Analyst information

See Quebec salary details

$49.5K

$105.1K

$154K

How much do senior data analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for senior data analyst in Quebec is $105,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $121,500.00 per year, depending on experience, location, and employer.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior 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 Senior Data Analyst jobs in Quebec? For Senior Data Analyst jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst jobs in Quebec look for? The top searched job categories for Senior Data Analyst jobs in Quebec are:
What cities in Quebec are hiring for Senior Data Analyst jobs? Cities in Quebec with the most Senior Data Analyst job openings:
Sr Data Analyst

Sr Data Analyst

Artefact

Montreal, QC • On-site

Other

Re-posted yesterday


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.