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No Experience Data Analytics Jobs in Quebec (NOW HIRING)

Make strategic recommendations based on data analysis to support decision-making processes.a * ross ... No Canadian work experience required however must be eligible to work in Canada. #LI-Hybrid Il ...

Pension Analyst

Montreal, QC · On-site +1

CA$39K - CA$74K/yr

... data. We are also one of the largest pension plan administrators in Canada, serving over five ... With us, you'll experience: * A vibrant and dynamic team environment where collaboration is key

Bachelor's degree in Business Analytics, Data Analytics, Computer Science, Statistics, Engineering, Finance, Operations Management, or a related field. * 3-7 years of experience in business ...

Document data requirements, analyze datasets, and assist with data integrity and quality checks ... However, only those whose background and experience match the requirements of the role will be ...

Solid experience in analytics / data science with a focus on driving business decisions. * Experience with developing Machine Learning and statistical models. * Excellent programming skills using ...

You'll specifically take care of programming alerts and developing data analysis scripts , but also ... All about you We value passion and attitude over experience. That's why we don't expect you to have ...

You'll specifically take care of programming alerts and developing data analysis scripts , but also ... All about you We value passion and attitude over experience. That's why we don't expect you to have ...

Strong experience with advanced SQL and data transformations. * Solid understanding of dimensional ... A Business Analyst role focused exclusively on requirements definition. * A BI Developer role ...

Strong experience with advanced SQL and data transformations. * Solid understanding of dimensional ... A Business Analyst role focused exclusively on requirements definition. * A BI Developer role ...

Showing results 41-60

No Experience Data Analytics information

What is a no experience data analytics job?

'No Experience Data Analytics' jobs are entry-level positions in the field of data analytics that do not require prior professional experience in analytics or data science. These roles are designed for beginners and often focus on teaching foundational skills, such as data cleaning, basic analysis, and using analytics tools like Excel or Tableau. Employers may look for candidates with strong problem-solving abilities, attention to detail, and a willingness to learn. Many of these jobs offer on-the-job training or require completion of online courses or certifications. They provide a pathway for individuals to start a career in data analytics, even if they have just graduated or are switching fields.

What do no experience data analytics jobs involve?

In a No Experience Data Analytics position, you can expect to start with foundational tasks such as cleaning and organizing datasets, creating basic data visualizations, and assisting with simple report generation. You may also help with data entry, validating data accuracy, and supporting senior analysts in data collection projects. These responsibilities help you build technical skills and familiarity with analytical tools, while working closely with more experienced team members who provide guidance and mentorship. Over time, you’ll have opportunities to take on more complex analyses as your confidence and skill set grow.

What skills and qualifications are needed for no experience data analytics roles?

To thrive as a Data Analyst without prior experience, you need a solid understanding of basic statistics, data visualization, and spreadsheet proficiency, often supported by a relevant degree or online coursework. Familiarity with tools like Microsoft Excel, SQL, and introductory data analytics platforms such as Tableau or Google Data Studio is common. Strong problem-solving, curiosity, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills enable you to analyze data accurately, support decision-making, and demonstrate potential for growth in analytics roles.

What is the difference between No Experience Data Analytics vs Data Analyst?

AspectNo Experience Data AnalyticsData Analyst
Required CredentialsNone or basic certificationsBachelor's degree in related field, certifications preferred
Work EnvironmentEntry-level, training-focused, often in tech or financeOffice-based, collaborative, project-driven
Employer & Industry UsageStartups, internships, entry-level roles across industriesEstablished companies, mid-level roles in various sectors
Search & Comparison IntentUnderstanding entry points, beginner rolesCareer progression, skill requirements

In summary, No Experience Data Analytics roles are designed for beginners with minimal or no prior experience, often requiring basic certifications and offering training. Data Analysts typically have relevant education and experience, working in more structured environments. Both roles serve different stages of a data analytics career path.

Can I get into no experience data analytics with no experience?

No experience data analytics roles are designed for entry-level candidates and often do not require prior experience. Success typically depends on foundational skills in Excel, SQL, or programming languages like Python, along with a willingness to learn and relevant certifications or courses. Entry-level positions focus on training and skill development for those new to the field.

What are the most commonly searched types of Data Analytics jobs in Quebec?

The most popular types of Data Analytics jobs in Quebec are:

What are popular job titles related to No Experience Data Analytics jobs in Quebec?

For No Experience Data Analytics jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching No Experience Data Analytics jobs in Quebec look for?

The top searched job categories for No Experience Data Analytics jobs in Quebec are:

What cities in Quebec are hiring for No Experience Data Analytics jobs?

Cities in Quebec with the most No Experience Data Analytics job openings:

Infographic showing various No Experience Data Analytics job openings in Quebec as of August 2026, with employment types broken down into 57% Full Time, 29% Part Time, and 14% Contract. Highlights an 71% In-person, and 29% Hybrid job distribution.

Full-time

Life, Retirement

Re-posted 22 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

94,200 - 115,200

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

10%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

Intact is looking for a Data Scientist to turn complex data into practical solutions (prediction, segmentation, optimization, automation) and to generate actionable insights.

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection, personalization, experimentation, etc.).

The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement), collaboration with business and engineering teams, and value-driven innovation, including generative AI and LLMs to speed up access to information, automate processes, and deliver responsible, measurable solutions in production.

What you'll do here:

  • Develop Innovative Solutions: Utilize machine learning and advanced statistical methods to identify trends and patterns in complex datasets.

  • Data Transformation: Convert complex databases into actionable insights and recommendations that can drive business strategy.

  • Stay Current: Keep up with the latest trends and methodologies in data science and incorporate them into your work.

  • Tool and Platform Maintenance: Assist in maintaining and improving our data mining tools and platforms to ensure their efficiency and reliability.

  • Actionable Recommendations: Make strategic recommendations based on data analysis to support decision-making processes.a

  • ross-Department Collaboration: Work closely with other departments to promote the adoption of data-driven decision-making across the organization.

  • Quality Assurance: Validate the quality of analytical approaches and outputs produced by other team members to ensure high standards.

What you bring to the table:

  • Degree in a relevant discipline (computer science, AI, mathematics, engineering, operations research, statistics, geomatics or related field), or an equivalent combination of education and experience. MSc and/or PhD are an asset.

  • Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems.

  • Technical Skills: Proficiency in multiple platforms, including commercial and open-source data mining frameworks such as Python and GitHub.

  • Machine Learning Expertise: Deep understanding of machine learning theories and methodologies.

  • Specialization: Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence.

  • Teamwork: Strong enthusiasm for working collaboratively in a team environment.

  • Problem-Solving: Ability to tackle vaguely defined problems with creative and innovative solutions.

  • Communication Skills: Excellent communication skills, both written and verbal, with the ability to convey complex information to non-technical stakeholders.

  • Time Management: Strong organizational and time management skills to handle multiple projects and meet deadlines.

  • Bilingualism (French / English) - For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.

  • No Canadian work experience required however must be eligible to work in Canada.

#LI-Hybrid

Il s'agit d'un nouveau role au sein de notre equipe en pleine croissance | This role is a new member of our growing team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.