ZipRecruiter

Log In

1

Data Analysis Assistant Jobs in Quebec (NOW HIRING)

Soucy

Identify and propose opportunities for improvement related to product data management and assist ... Bachelor's degree in business administration, business analysis, information technology, business ...

Soucy

Identify and propose opportunities for improvement related to product data management and assist ... Bachelor's degree in business administration, business analysis, information technology, business ...

Reitmans (Canada) Ltée/Ltd

Analyst FP&A

Montreal, QC · Hybrid

... financial controls * Assist in the preparation and review of business cases, including post ... Proficiency in Excel (data analysis, financial modelling) * Ability to organize, consolidate and ...

Intact Financial

Data Scientist II

Montreal, QC · On-site

... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Tool and Platform Maintenance: Assist in maintaining and improving our data mining tools and ...

next page

Showing results 1-20

All JobsData Analysis Assistant JobsData Analysis Assistant Jobs in Quebec

Data Analysis Assistant information

See Quebec salary details

$11

$28

$63

How much do data analysis assistant jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data analysis assistant in Quebec is $28.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $35.10 per hour, depending on experience, location, and employer.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the role of a data analysis assistant. Human skills like interpreting complex data, making strategic decisions, and communicating insights remain essential. Data analysts and assistants who develop skills in tools like SQL, Python, or data visualization are better positioned to adapt to technological changes.

What are the top 3 skills for a data analyst?

A data analysis assistant should have strong analytical skills to interpret data accurately, proficiency in data manipulation tools like Excel, SQL, or Python, and good communication skills to present findings clearly. Familiarity with data visualization software such as Tableau or Power BI is also valuable. These skills enable effective data-driven decision-making and reporting.

Is 40 too late for data science?

For a Data Analysis Assistant or similar data-related roles, starting a career at 40 is feasible as many employers value experience and analytical skills. Success often depends on acquiring relevant tools like SQL, Python, or Excel, and building a strong portfolio or certifications, regardless of age.

What is the difference between Data Analysis Assistant vs Data Analyst?

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

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

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A data analysis assistant supports data collection, cleaning, and organization to prepare datasets for analysis. They often use tools like Excel, SQL, or statistical software to identify trends and generate reports under the supervision of data analysts or scientists.

What are some common challenges faced by Data Analysis Assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
What are the most commonly searched types of Data Analysis jobs in Quebec? The most popular types of Data Analysis jobs in Quebec are:
What job categories do people searching Data Analysis Assistant jobs in Quebec look for? The top searched job categories for Data Analysis Assistant jobs in Quebec are:
Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in Quebec as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $58,824 per year, or $28.3 per hour.

Sr. Data Analyst, Marketing Analytics

Ubisoft

Montreal, QC

Full-time

Posted 5 days ago

Job description

Company Description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

Job Description

The Marketing Analytics team works with the business and marketing stakeholders to analyze and measure the impact marketing has on our business objectives.  

The Senior Data Analyst, Marketing Analytics, will be responsible for gathering, structuring and analyzing data to derive compelling insights that drive the strategy & optimization of our marketing initiatives. This includes the design and management of data collection and analytics solutions, analysis of the performance of marketing initiatives and their effect on acquisition, retention, engagement, and conversion.

WHAT YOU'LL DO

  • Understand the business objective and marketing initiatives to then identify the key success metrics that help evaluate the performance towards the objectives
    • Analyze correlations between business outcomes and marketing initiatives.
    • Establish a benchmarking methodology and set targets for the key metrics identified.
    • Measure and communicate to stakeholders the results.
  • Be a thought leader and spearhead data driven decision making amongst stakeholders.
    • Translate the business questions and challenges from the stakeholders into analytics projects.
    • Deliver a cross-channel, brand level view of performance, insights, and recommendations.
    • Convey the finding on campaign performance and drive strategy and optimization change with stakeholders.
    • Provide data analysis and reporting to identify trends and opportunities across channels, audience segments, and player segments.
  • Work with marketing teams to ensure marketing efforts are effective and drive incremental acquisition, engagement, and conversion.
    • Develop marketing experiments to understand the business impact of paid media and creator campaigns.
    • Leverage data from Adobe Analytics, Gamesight, Salesforce, Datorama  and various other tools and platforms.
    • Develop robust analytic processes to frame campaign expectations, inform decision making, and provide optimization recommendations based on performance data.
    • Work with Data Science to use predictive analytics to analyze data from viewership, website interactions, media campaigns, CRM, and social platforms.
    • Assist with budget planning exercises to determine optimal budget for a given campaign.
    • Develop marketing experiments to understand the business impact of paid media
  • Communicate insights and discuss recommendations with brand teams and cross functional partners.
Qualifications

WHAT YOU'LL BRING

  • 4+ years of proven analytical skills; ability to analyze raw data, draw conclusions, and develop actionable insights. 3+ years of that in paid media and marketing analytics.
  • Experience in marketing or performance analytics roles for paid media, content creators.
  • Previous experience in reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Tableau, and other data/visualization tools; monitor for changes in trends, share insights and make recommendations
  • Familiarity of different paid media measurement options, such as conversion APIs (CAPI), brand lift surveys, conversion lift studies, and audience hold outs.
  • Experience with statistical methods such as regression and hypothesis testing
  • Fluent in French