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Data Assistant Jobs in Quebec (NOW HIRING)

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 ...

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 ...

Identify and propose opportunities for improvement related to product data management and assist master file clerks in ensuring the quality, consistency, and integrity of a large volume of product ...

Identify and propose opportunities for improvement related to product data management and assist master file clerks in ensuring the quality, consistency, and integrity of a large volume of product ...

Identify and propose opportunities for improvement related to product data management and assist master file clerks in ensuring the quality, consistency, and integrity of a large volume of product ...

Ensure efficient use of compute resources, including GPU access for compute-intensive data processing tasks. * Assist the Infrastructure team in provisioning the compute and storage environments to ...

... automatisations, assistants et agents autonomes * Documenter les mandats et proposer des ... Minimum 3 ans dans un rle client-facing en data ou BI avec livraison autonome de solutions ...

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Data Assistant information

See Quebec salary details

$7

$19

$36

How much do data assistant jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data assistant in Quebec is $19.78, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $20.19 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data assistants and data scientists can enter the field at any age, including 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, along with practical experience. Many professionals transition into data roles later in their careers successfully.

What are Data Assistants?

Data Assistants are professionals who support data management processes within an organization. Their responsibilities typically include collecting, entering, cleaning, and maintaining data to ensure its accuracy and accessibility. They often work with spreadsheets, databases, and specialized software to organize and analyze information, making it easier for teams to make data-driven decisions. Data Assistants may also help prepare reports and collaborate with other departments to support research or business operations.

What is the role of a data assistant?

A data assistant supports data management tasks such as collecting, organizing, and maintaining data sets. They often use tools like spreadsheets and databases, ensuring data accuracy and integrity to assist analysts and other team members in decision-making processes.

What are some common challenges Data Assistants face when managing large datasets, and how can they overcome them?

Data Assistants often encounter challenges such as data inconsistencies, missing information, and time-consuming data entry tasks when handling large datasets. To overcome these issues, it’s important to develop strong attention to detail, utilize data validation tools, and follow established data management protocols. Collaborating closely with data analysts and IT teams can also help identify and resolve data quality problems more efficiently, ensuring that the information remains accurate and reliable for stakeholders.

What do data assistants do?

Data assistants support data management tasks by collecting, organizing, and maintaining data sets. They often use tools like spreadsheets and databases, perform data entry, verify accuracy, and assist with data analysis to ensure information is complete and reliable.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or Python, and often benefit from relevant coursework or certifications. While prior experience is helpful, entry-level positions may be available for those with strong analytical skills and a willingness to learn on the job.

What is the difference between Data Assistant vs Data Analyst?

AspectData AssistantData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data-related fields; certifications like Microsoft Excel or SQL are common
Work EnvironmentOffice settings, data entry centers, or remoteOffice environments, research firms, or corporate settings
Employer & Industry UsageAdministrative support in various industries, including healthcare, education, and retailData-driven decision making in finance, marketing, healthcare, and tech

While Data Assistants focus on data entry, organization, and basic support tasks, Data Analysts interpret data to provide insights and strategic recommendations. Both roles are essential but differ in complexity and scope.

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

To excel as a Data Assistant, you need strong attention to detail, proficiency in data entry, and a basic understanding of data management principles, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software such as Microsoft Excel, database platforms, and data visualization tools is typically required. Excellent organizational skills, reliability, and effective communication set top performers apart in this role. These abilities are vital for ensuring data accuracy, supporting efficient workflows, and facilitating informed decision-making within organizations.
What are the most commonly searched types of Data jobs in Quebec? The most popular types of Data jobs in Quebec are:
What job categories do people searching Data Assistant jobs in Quebec look for? The top searched job categories for Data Assistant jobs in Quebec are:
Tax Data Analytics & Automation Analyst - Temporary

Tax Data Analytics & Automation Analyst - Temporary

Air Canada

Dorval, QC

Full-time

Posted 4 days ago


Job description

Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.

Air Canada's Taxation team is on a transformation journey and reimagining how tax compliance is delivered through automation, data and AI. We are seeking a highly analytical and technology-driven professional to help build scalable, audit ready tax solutions and move our processes toward autopilot.  

The Tax Data Analytics & Automation Analyst will play a key role in designing and supporting automated tax workflows, enhancing data integrity, and advancing AI-enabled capabilities across the tax function. This role focuses on improving accuracy, efficiency, and auditability of tax processes through data-driven solutions, while ensuring compliance with internal controls and regulatory requirements.

Responsibilities:

Automation & Process Transformation

  • Support the development and implementation of automated tax workflows that streamline data ingestion, transformation, validation, and reporting across multiple systems (e.g., Snowflake, Dataiku, SharePoint, Power BI, MS Copilot Agent, MS Power Automate)
  • Convert manual, recurring processes into scalable automated solutions using modern data platforms and tools
  • Monitor production workflows, troubleshoot issues, and continuously implement enhancements to improve performance and reliability

Data & Analytics

  • Responsible to deliver meaningful analytics through the creation of interactive dashboards and/or other data visualizations to support tax decision making
  • Understand enterprise data sources, their dependencies, and its impact on tax compliance
  • Analyze large and complex datasets to ensure data accuracy, completeness, and tax compliance
  • Collaborate with tax, IT, and data teams to translate business requirements into scalable technical solutions, ensuring alignment with enterprise architecture and data governance standards
  • Responsible to transform tax datasets into actionable insights and/or recoveries

AI & Advanced Capabilities

  • Assist in the design, testing, and continuous improvement of AI agents and intelligent automation solutions, including contributing to training datasets, validating outputs, and refining business logic to ensure accuracy and compliance
  • Develop and implement controls and monitoring mechanisms for AI-driven solutions, including performance tracking, exception handling, and explainability to ensure outputs remain reliable, auditable, and compliant with tax and regulatory requirement
  • Explore innovative applications of emerging technologies within the tax function

Controls, Compliance & Auditability

  • Ensure tax data compliance across the full tax reporting lifecycle
  • Document and maintain technical and process documentation, including workflow logic, data mappings, and AI model assumptions for audit and knowledge-sharing purposes
  • Maintain and enhance reports related to ticket taxes, fees, and charges as requirements change
  • Support implementation of new tax legislation and validate compliance with regulatory changes

Qualifications

  • Bachelor's degree in either management of information system/technology, computer science, math and statistics or other related quantitative fields
  • 2 - 5 years of professional experience in data analytics, or systems/automation roles
  • Strong understanding of data processing, transformations, and reconciliation principles
  • Strong SQL experience (Snowflake) - stored procedures, writing complex queries, indexing, etc.
  • Experience with MS Office applications and MS Power Platform is required
  • Experience with Microsoft Copilot Agent and Snowflake Cortex is preferred
  • Experience with automation tools such as Dataiku is a pre-requisite
  • Experience with Python is a strong asset
  • Work experience in commodity tax (GST/HST, QST, PST, Excise Tax and Fuel Tax) is an asset
  • Proven ability to multi-task and perform under pressure
  • Self-starter with strong interpersonal skills and ability to take initiative
  • High level of attention to detail
  • Comfortable working in an agile team environment requires solving complex, open-ended problems with minimal guidance
  • Demonstrate punctuality and dependability to support overall team success in a fast-paced environment

Conditions of Employment:

Candidates must be eligible to work in the country of interest at the time any offer of employment is made and are responsible for obtaining any required work permits, visas, or other authorizations necessary for employment. Prior to their start date, candidates will also need to provide proof of their eligibility to work in the country of interest.

Linguistic Requirements

Based on equal qualifications, preference will be given to bilingual candidates.

Diversity and Inclusion

Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees' unique contributions to our company's success.

As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.

Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.

Employment Type: FULL_TIME