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Data Masking Jobs in Quebec (NOW HIRING)

MaintainX

Senior Analytics Developer

Montreal, QC · On-site +1

CA$1.0K/day

Experience applying analytics engineering to governance and compliance frameworks (anonymization, pseudonymization, data masking) We Offer * Competitive base + equity in a post-Series D company at $2 ...

TSMG

Aircraft Painter

Montreal, QC

Prepare aircraft surfaces for painting by cleaning, masking, and sanding areas to remove old paint ... If you would like more information about how your data is processed, please contact us. apply for ...

Grainger Businesses

CA$21.62 - CA$29.72/hr

Perform data collection (related to inventory information) at customer sites. Ensure accurate ... N95 mask or other required PPE. Details of these requirements will be provided during the ...

Grainger Businesses

CA$21.62 - CA$29.72/hr

Perform data collection (related to inventory information) at customer sites. Ensure accurate ... N95 mask or other required PPE. Details of these requirements will be provided during the ...

All JobsData Masking JobsData Masking Jobs in Quebec

Data Masking information

What is the difference between Data Masking vs Data Analyst?

AspectData MaskingData Analyst
Required CredentialsTypically no formal certifications, but knowledge of data security and privacy standardsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentIT/security teams, often within data security or compliance departmentsBusiness intelligence, analytics teams, or data departments across various industries
Employer & Industry UsageUsed in industries handling sensitive data like finance, healthcare, and retailUsed across industries for data-driven decision making, reporting, and insights

Data Masking focuses on protecting sensitive information by obfuscating data to ensure privacy and security. Data Analysts interpret and analyze data to generate insights. While Data Masking is a technical security process, Data Analysts work with the data post-masking to support business decisions.

What does data masking do?

Data masking is a technique used by data masking professionals to protect sensitive information by replacing it with fictitious or obfuscated data. It ensures that confidential data remains secure during testing, development, or sharing, without exposing actual information. This process helps organizations comply with data privacy regulations and reduces the risk of data breaches.

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

To thrive as a Data Masking Specialist, you need a solid understanding of data security principles, database management, and regulatory compliance, typically supported by a degree in computer science or information security. Familiarity with data masking tools such as Informatica, IBM Optim, or Microsoft SQL Server Data Masking, as well as relevant certifications like CISSP or CISM, is often required. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are crucial to ensure sensitive data is properly protected, minimizing security risks and meeting compliance requirements.

What jobs will boom in 2026?

Data masking specialists and cybersecurity roles focused on data privacy are expected to see significant growth by 2026 due to increasing data protection regulations. Skills in data security tools, compliance standards, and programming are highly valued in these expanding fields.

What is data masking?

Data masking is a process used to protect sensitive information by replacing original data with fictional but realistic data. The goal is to ensure that confidential data, such as personal identification numbers or financial information, cannot be accessed by unauthorized users, especially in non-production environments like testing or development. Data masking maintains the format and structure of the original data so that applications can function correctly while ensuring privacy and compliance with regulations. This technique is commonly used in industries that handle large amounts of sensitive information, such as healthcare, finance, and government.

What are some common challenges faced by professionals working in data masking roles?

Professionals in data masking roles often encounter challenges such as ensuring that masked data remains useful for development or testing while maintaining strict compliance with privacy regulations. Balancing security with data utility can be complex, especially when working with legacy systems or large-scale databases. Collaboration with database administrators, developers, and compliance teams is essential to design effective masking strategies and troubleshoot issues as they arise. Staying updated on evolving data privacy laws and best practices is also crucial for long-term success in this field.

What jobs pay $2000 a day?

High-paying roles related to data masking, such as senior data security consultants or cybersecurity specialists, can sometimes earn $2,000 or more per day, especially with extensive experience, certifications, and consulting work. These positions often require advanced skills in data privacy, encryption, and compliance, and may involve contract or freelance arrangements with flexible schedules.

What is the highest paying job in data?

In data-related fields, roles such as Data Architect, Data Engineering Manager, and Chief Data Officer tend to be among the highest paying positions, often earning six-figure salaries. These roles require advanced skills in data management, architecture, and leadership, along with relevant certifications and experience.
What are popular job titles related to Data Masking jobs in Quebec? For Data Masking jobs in Quebec, the most frequently searched job titles are:
Data Masking jobs near you
Infographic showing various Data Masking job openings in Quebec as of June 2026, with employment types broken down into 3% As Needed, 57% Full Time, 34% Part Time, and 6% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.
Business System Analyst

Business System Analyst

Royal Bank of Canada

Montreal, QC • On-site

Full-time

Posted 12 days ago

Key responsibilities

  • Translate and validate complex business rules with stakeholders to ensure mutual agreement on definitions, logic, and expected outcomes.

  • Design and generate synthetic, anonymized, or masked test data to validate system functionality, reports, and business rules.

  • Assess existing systems and recommend improvements or replacements, creating system diagrams and technical specifications to guide implementation.

Job description

Job Description

A technical professional who bridges business needs and IT solutions. They analyze organizational systems, create user stories, identify inefficiencies, and recommend technology solutions to improve business processes. This role is ideal for technical problem-solvers who excel at implementing innovative solutions while maintaining compliance and quality. Proficiency in banking systems, data flows, and associated risks is a strong asset. Your core responsibilities revolve around three key pillars: business rule validation and alignment, where you ensure technical solutions meet organizational goals; test strategy and execution, designing robust frameworks for system reliability and process optimization, leveraging technology to streamline workflows. You will act as a liaison between business units, software engineers, and quality analysts.

What will you do?

  • Translate and validatecomplex business rules with stakeholders, ensuring mutual agreement on definitions, logic, and expected outcomes.

  • Curate feature-specific test data sets that align with distinct business logic, workflows, and use cases to enable comprehensive functional and regression testing across all system modules.

  • Design and generate synthetic, anonymized, or masked test data to validate system functionality, reports, and business rules, ensuring test data covers edge cases, compliance scenarios, and performance requirements.

  • Gain understanding of upstream applications and the data provided, interfacing with other app teams and architects as needed to document dataflows.

  • Implement data masking techniques to protect sensitive information in non-production environments.

  • Design and evaluate system solutions that meet business objectives, including assessing existing systems and recommending improvements or replacements, while creating system diagrams and technical specifications to guide implementation.

  • Identify inefficiencies in existing systems (e.g., legacy core banking platforms) and recommend improvements.

  • Value Stream Analysis: Identifying bottlenecks and opportunities for automation or data-driven improvements.

  • In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.

What do you need to succeed?

Must-have:

  • Bachelor's degree in computer science, Data Science or a related field with 5+ years as a Business Systems Analyst, preferably in financial services.

  • API & Integration Knowledge : Familiarity withREST/SOAP APIsto facilitate data exchange between systems (e.g., integrating client data).

  • SQL: Advanced proficiency to extract, transform, and analyze data from relational databases (e.g., Oracle, SQL Server). DB2, legacy systems and big data platforms (e.g., Snowflake, Hadoop) are big assets.

  • Test Data Management:Skills in generating synthetic data, data masking, or subset extraction to support testing (e.g., using tools or custom scripts).

  • Proficiency in data visualization tools (e.g., Tableau, Power BI, Lucid chart and Visio).

  • Collaboration platforms likeJira, Confluence and Git version control system.

#LI-POST

Job Skills

Agile Methodology, Business Data Analysis, Business Process Modeling, Commercial Acumen, Communication, Critical Thinking, Decision Making, Group Problem Solving, Interpersonal Relationship Management, Requirements Analysis

Additional Job Details

Address:

1 PLACE VILLE MARIE:MONTREAL

City:

Montreal

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-16

Application Deadline:

2026-07-07

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

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