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Master Data Analyst Jobs in Quebec (NOW HIRING)

Produire des rapports et analyses pour les besoins opérationnels et décisionnels; * Assurer la formation des utilisateurs et le transfert des connaissances; * Informer le responsable du projet de ...

Participer a des audits energetiques (identification de mesures, bilans energetiques, analyses technicoeconomiques) * Contribuer aux activites de mise en service (commissioning) et de remise en ...

Oracle Data Integrator (ODI) * Suite SAS * Entrepôts de données ministériels * Capacité à communiquer efficacement en français à l'oral et à l'écrit; * Autonomie, rigueur, sens de ...

Exprience dans la conception et l'utilisation d'outils et d'applications de collecte et d'analyse de donnes. * Capacit travailler avec les autres pour trouver des solutions et prendre des dcisions.

Oracle Data Integrator (ODI) * Suite SAS * Entrepots de donnees ministeriels * Capacite a communiquer efficacement en francais a l'oral et a l'ecrit; * Autonomie, rigueur, sens de l'organisation et ...

Participer a des audits energetiques (identification de mesures, bilans energetiques, analyses technicoeconomiques) * Contribuer aux activites de mise en service (commissioning) et de remise en ...

Analyser les problématiques des clients afin d'en identifier la source et préparer, documenter et mettre en œuvre des solutions concrètes pour les résoudre; * Communiquer avec des clients ...

Oracle Data Integrator (ODI) * Suite SAS * Entrepots de donnees ministeriels * Capacite a communiquer efficacement en francais a l'oral et a l'ecrit; * Autonomie, rigueur, sens de l'organisation et ...

Oracle Data Integrator (ODI) * Suite SAS * Entrepôts de données ministériels * Capacité à communiquer efficacement en français à l'oral et à l'écrit; * Autonomie, rigueur, sens de ...

Master's degree or DEC with a specialization in Data Analysis, Data Management, or equivalent * 5 to 10 years in a similar role preferred * End-to-end understanding of BMS product manufacturing

Oracle Data Integrator (ODI) * Suite SAS * Entrepôts de données ministériels * Capacité à communiquer efficacement en français à l'oral et à l'écrit; * Autonomie, rigueur, sens de ...

Oracle Data Integrator (ODI) * Suite SAS * Entrepots de donnees ministeriels * Capacite a communiquer efficacement en francais a l'oral et a l'ecrit; * Autonomie, rigueur, sens de l'organisation et ...

CA$1 - CA$11/hr

... analyst without program responsibility. * Purely Agile Scrum Master or Delivery Lead without ... Technical data profile (architect, data engineer) without program management experience.

Produire des rapports et analyses pour les besoins opérationnels et décisionnels; * Assurer la formation des utilisateurs et le transfert des connaissances; * Informer le responsable du projet de ...

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Master Data Analyst information

See Quebec salary details

$6

$36

$69

How much do master data analyst jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for master data analyst in Quebec is $36.04, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $46.15 per hour, depending on experience, location, and employer.

What are Master Data Analysts?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

How does a Master Data Analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

What Does a Master Data Analyst Do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

Is a master's in data analysis worth it?

For a Master Data Analyst, obtaining a master's degree in data analysis can enhance technical skills, such as proficiency in SQL, Python, and data visualization tools, and may improve job prospects and salary potential. However, practical experience and certifications like Certified Analytics Professional (CAP) can also be valuable in this field. The decision depends on career goals and the specific requirements of employers in data analysis roles.

Is 40 too late for data science?

For a Master Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Experience and continuous learning are valued more than age in the data industry.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Master Data Analyst's role involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI tools are valuable for enhancing efficiency but are unlikely to fully replace skilled analysts who provide critical context and nuanced analysis.

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

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

What can I do with a master's in data analysis?

A master's in data analysis prepares individuals for roles such as Master Data Analyst, Data Scientist, or Business Intelligence Analyst, involving tasks like data cleaning, statistical analysis, and reporting. It often requires proficiency in tools like SQL, Python, or R and understanding of data management systems. Graduates can work in various industries including finance, healthcare, and technology, often in environments that emphasize data-driven decision making.

What is the difference between Master Data Analyst vs Data Analyst?

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

What are popular job titles related to Master Data Analyst jobs in Quebec? For Master Data Analyst jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Master Data Analyst jobs in Quebec look for? The top searched job categories for Master Data Analyst jobs in Quebec are:
What are popular job titles related to Master Data Analyst jobs in QC? For Master Data Analyst jobs in QC, the most frequently searched job titles are:
Infographic showing various Master Data Analyst job openings in Quebec as of July 2026, with employment types broken down into 52% Full Time, 8% Part Time, and 40% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $74,958 per year, or $36 per hour.

ASSISTANT VICE-PRESIDENT, DATA & AI GOVERNANCE

Business Development Bank of Canada

Montreal, QC • Hybrid

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Job description

We are banking at another level.

Choosing BDC as your employer means working in a healthy, inclusive, and skilled workplace that puts forward the best conditions to bring together unique teams where employees are empowered to act. It also means being at the centre of ambitious economic and financial projects to see further and to do things differently, to fuel the success of Canadian entrepreneurs.

Choosing BDC as your employer also means:

  • Flexible and competitive benefits, including an Employee Savings and Investment Plan where BDC matches part of your voluntary contributions, a Defined Benefit Pension Plan, a $750 wellness and health care spending account, to name a few

  • In addition to paid vacation each year, five personal days, sick days as necessary, and our offices are closed from December 25 to January 1

  • A hybrid work model that truly balances work and personal life

  • Opportunities for learning, training and development, and much more...

Explore the BDC Way in our Culture Book


POSITION OVERVIEW


Reporting to the Chief Data & AI Officer, the AVP of Data & AI Governance is a pivotal leader within the Enterprise Data & Analytics Office (EDAO), ensuring the strategic mobilization of the organization in managing data as a critical and shared business asset and ensuring effective oversight of AI risk.

Collaborating closely with teams from HR, Information Security, Compliance, Risk, and IT, the AVP leads the organization in recognizing and maximizing the value of data assets and mitigating data-related risks, ensuring a coordinated approach when engaging with the organization's business lines and support functions on all matters related to data asset management. In support of this, the role leads initiatives in Data Literacy, Data Stewardship, Data Traceability, Data Knowledge Management, Data Quality Management, Master Data Management, and Metadata Management.

While a foundational understanding or knowledge of technical concepts is important, this role primarily focuses on leadership and business transformation. Success hinges on the ability to articulate the value of data governance and effectively influence senior management and internal stakeholders to fully engage in their fiduciary responsibilities regarding the data they use and produce. This role will govern risks associated to the investments made in recent years in BDC's centralized data platform to protect our investment as we create business value from our data.

CHALLENGES TO BE MET


Continuously demonstrating value creation through Data & AI Governance capabilities and programs.

Establishing an exciting and engaging Data & AI Governance program culture.

Empowering leaders and enabling business process owners in assuming their accountabilities in relation to their roles.

Facilitating executive alignment on priorities across the Data & AI Governance ecosystem.

Promoting the development of a data-savvy workforce through the delivery of effective data literacy programs in partnership with HR.

KEY RESPONSIBILITIES

Participates in the development and alignment of the organization's enterprise Data & AI strategy.

Leads a high-performance team of subject matter experts to deliver a coherent and complete Data Governance program.

Provides vision and direction on how to establish and manage enterprise-wide priorities and make decisions with cross-functional impacts in relation to data.

Establishes and operates a multi-level, high-impact data governance committee framework.

Builds effective programs to motivate and mobilize Data Stewards and Data Guardians to fully engage and meet the responsibilities associated with their roles.

Empowers lines of business and support functions to articulate their needs in relation to data management, governance and risks and oversees enterprise-wide Data & AI Governance priorities and remediation initiatives.

Ensures the efficiency and coherence of the corporate policy framework on matters relating to data including data asset management, data risk management, data analytics and AI.

Empowers lines of business and support functions that use and produce data on how to understand and effectively manage the data-related risks related to their activities.

Ensures the performance of standards, processes and tools for effective:

    • Data Stewardship
    • Data Guardianship
    • Data Knowledge Management
    • Data Quality Management
    • Master and Reference Data Management
    • Metadata Management
    • Data Traceability

Reports on the value generated through effective Data & AI Governance

Leads the development and delivery of effective Data Literacy programs.

Prepares and analyzes department/unit plans and reports and manages projects to achieve department/unit goals.

Creates an effective work environment by developing a common vision, setting clear objectives, fostering teamwork, recognizing outstanding performance, and maintaining open communications.

Develops employees through coaching, providing performance feedback, providing effective performance assessments, and establishing objectives & development plans.

WHAT WE ARE LOOKING FOR


Bachelor's degree or higher in a relevant domain; MBA would be considered an asset.

Excellent interpersonal communication (written/verbal), team building and negotiation and consensus-building skills

10+ years of data governance and data management experience

Proven ability to lead through influence, drive change and build and maintain strong relationships with senior stakeholders and foster alignment and collaboration across diverse business functions.

Experience in leading and managing a data governance team and program

Expertise in defining and implementing data governance policies, standards and processes

Knowledge and experience in data management, security, privacy and risk management

Knowledge and experience with agile data governance and agile data management

Knowledge and experience in the financial services industry are an asset

Bilingualism (written/verbal) English and French.

Proudly one of Canada's Top 100 Employers and one of Canada's Best Diversity Employers, we are committed to fostering a diverse, equitable, inclusive and accessible environment where all employees can thrive and feel empowered to bring their whole selves to work. If you require an accommodation to complete your application, please do not hesitate to contact us at accessibility@bdc.ca.

While we appreciate all applications, we advise that only the candidates selected to participate in the recruitment process will be contacted.