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Data Entry Analyst Jobs in Quebec (NOW HIRING)

... Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will contribute to a wide range of business ...

... Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will contribute to a wide range of business ...

... Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will contribute to a wide range of business ...

... Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will contribute to a wide range of business ...

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Data Entry Analyst information

See Quebec salary details

$10

$20

$34

How much do data entry analyst jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data entry analyst in Quebec is $20.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $22.60 per hour, depending on experience, location, and employer.

What Is a Data Entry Analyst?

As a data entry analyst, your primary responsibilities are to interpret the information in a company’s databases and help upper-level management make informed decisions regarding business goals. Your job duties include developing computer databases, improving processes for data entry, analyzing complex data sets, and reporting your findings to management and company executives. The qualifications needed to start a career as a data entry analyst include a college degree in information technology, computer science, or data science, excellent analytical thinking skills, and accountability to deadlines. Some employers prefer job candidates with previous data entry or data analyst experience.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, but the role of a Data Entry Analyst involves interpreting data, ensuring accuracy, and making strategic recommendations that require human judgment. AI enhances productivity but does not fully replace the need for skilled analysts who understand context and business needs. Data analysts who develop skills in data visualization, programming, and AI tools remain valuable in the evolving job market.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau. However, gaining proficiency typically requires consistent practice, understanding of statistical concepts, and real-world experience, which may take longer for some individuals.

What qualifications do I need to be a data analyst?

To become a data analyst, you typically need a bachelor's degree in fields like statistics, mathematics, computer science, or related areas. Proficiency in data analysis tools such as Excel, SQL, and programming languages like Python or R is important, along with strong analytical and problem-solving skills. Certifications like Microsoft Certified Data Analyst or Tableau Desktop Specialist can enhance your qualifications.

What does a Data Entry Analyst do?

A Data Entry Analyst is responsible for accurately inputting, updating, and maintaining data in computer systems or databases. They often review and verify the accuracy of information, ensuring data integrity and consistency. In addition to entering data, they may analyze, organize, and generate reports based on the collected information. Their work supports business operations by making sure that the data used for decision-making is reliable and up-to-date.

What are some common challenges faced by Data Entry Analysts, and how can they be managed effectively?

Data Entry Analysts often encounter challenges such as maintaining high accuracy under tight deadlines, managing repetitive tasks, and ensuring data integrity across multiple systems. To manage these effectively, it's important to develop strong attention to detail, establish a consistent workflow, and utilize available data validation tools. Collaborating regularly with team members and supervisors can also help resolve discrepancies quickly and improve overall efficiency in the role.

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

To thrive as a Data Entry Analyst, you need fast and accurate typing skills, attention to detail, and a basic understanding of data management, typically supported by a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database systems, and data entry platforms is commonly required. Strong organizational skills, time management, and the ability to maintain focus help set top performers apart. These skills are essential for ensuring reliable, efficient, and error-free data processing, which supports effective business operations.

Is 40 too late for data science?

A Data Entry Analyst role typically requires strong attention to detail and proficiency with tools like Excel or databases. Transitioning into data science at age 40 is possible with relevant skills in programming, statistics, and machine learning, and many professionals successfully switch careers later in life through additional training or certifications. Age is less a barrier than acquiring the necessary technical knowledge and experience for the role.
What are popular job titles related to Data Entry Analyst jobs in QC? For Data Entry Analyst jobs in QC, the most frequently searched job titles are:
Infographic showing various Data Entry Analyst job openings in Quebec as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $43,133 per year, or $20.7 per hour.

Full-time, Internship

Posted 22 days ago


Job description

As the trade association of the world's airports, Airports Council International (ACI) offers a unique opportunity for internships, allowing you to immerse yourself in the dynamic and globally significant aviation industry where you can gain valuable insights and practical experience.

Interning at ACI World not only enhances your resume, but also equips you with essential skills, knowledge, and connections in aviation or related fields.

You will be positioned in the Airport as Business team (AAB)

Job Description – Data Quality Intern

Position: Data Quality Intern

Duration: 3 months

Schedule: Full-time (5 days per week)

Work Arrangement: Hybrid (minimum 10 days per month in office)

Reporting to: Manager Airport Economics

Role Overview:

The Data Quality Intern will support the Airport as a Business team in accelerating the readiness of migrated historical economics data within the ACI Data Hub. This role focuses on performing data corrections and validation activities to restore the integrity, consistency, and usability of datasets for time series analysis.

The intern will contribute directly to improving the quality and completeness of the historical database, enabling the team to resume critical analytical work in preparation for major industry events and reporting needs.

Key Responsibilities:

  • Perform manual data entry, corrections, and updates to historical datasets
  • Review, clean, and validate data to ensure accuracy and consistency
  • Identify, investigate, and resolve data discrepancies
  • Support data quality improvement initiatives and processes
  • Assist in structuring and preparing datasets for time series analysis
  • Document data corrections and workflows to ensure traceability
  • Collaborate with team members to meet project timelines and data readiness objectives
  • Perform other related tasks as assigned

Qualifications:

  • Currently enrolled as a university student in a relevant field (e.g., Economics, Mathematics, Finance, Accounting, or related discipline)
  • Fluent in English (written and spoken)
  • Proficiency in Microsoft Excel
  • Strong attention to detail and high level of accuracy
  • Good organizational and time management skills
  • Ability to work independently and as part of a team

Nice to Have:

  • Proficiency in additional languages
  • Basic knowledge of SQL for data querying and validation