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Data Analysis Manager Jobs in Quebec (NOW HIRING)

Mission Are you passionate about data, analysis, and designing structured BI solutions, and do you ... Experience in business analysis or managing small projects Benefits designed to take you far! * A ...

New

Manage and coach the individual Chapter Area Leads and Team Leads for Data Science, Data Engineering, Data Architecture, and Data Analytics, guiding them to balance operational output with functional ...

Managing Lloyds and MUNI checks, entering data, scanning, and preparing items for mailing. Our ... Strong analytical and problem-solving skills. Who we are Founded in 1987 by Barry F. Lorenzetti ...

$120 - $150/hr

Data & Analytics Crew Lead (Senior Director) Time Type: Regular • Location: Montréal, QC. ... Change & Project Management: Proven track record delivering large‑scale data transformation ...

The Data Product Manager defines, prioritizes, and oversees data product roadmaps for their ... Analyze business needs, translate them into clear requirements and ensure data solutions meet ...

... Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co ... project management. We run multiple projects across several business areas at the same time.

We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D's new AI ... managers, and executive stakeholders to unlock enterprise-wide value through data science and ...

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Data Analysis Manager information

See Quebec salary details

$20K

$87K

$146.5K

How much do data analysis manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data analysis manager in Quebec is $87,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $110,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a Data Analysis Manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a Data Analysis Manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

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

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

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 are popular job titles related to Data Analysis Manager jobs in Quebec? For Data Analysis Manager jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Analysis Manager jobs in Quebec look for? The top searched job categories for Data Analysis Manager jobs in Quebec are:
Infographic showing various Data Analysis Manager job openings in Quebec as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $87,044 per year, or $41.8 per hour.
Data & AI Consulting Manager - Banking

Data & AI Consulting Manager - Banking

Accenture

Quebec, QC • On-site

Full-time

Posted yesterday

New


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 451 rated business services


Job description

Data & AI Manager

We Are:

Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digitalmetamorphoses,widenthe range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds?Artificial Intelligence (AI) Services & Solutions | Accenture

You Are:

An expert in the field of Data & Analytics with a strong data driven mindset and a focus on value driven use cases in Banking & Capital Markets. As a Data & AIManager, you will contribute to a strong collaborative team solving our client's data challenges.You will leverage your expertise in strategy development, value architecture, and operating model design to influence client agendas through actionable business insights. Your work will drive data-driven reinvention and cultural transformation.

You will work on a team that is partnering with clients to make bold decisions on priority issues at the intersection of business, technology, and operations within complex data management landscapes. This includes:

  • Applying industry knowledge to mature data management practices across people, processes, and technology.

  • Guiding clients through large-scale AI-led change, from defining ambition and identifying opportunities to building investment cases and steering end-to-end execution.

  • Providing insights on global, economic, technological, and social trends shaping the industry.

The Work:

  • Design and drive AI transformation programs. Reimagine business and technology functions to accelerate value capture at a scale.

  • Bring industry expertise in driving data & AI value driven use cases in Banking & Capital Markets

  • Collaborate with senior leadership and C-level stakeholders to define and execute the client organizations' data & AI strategy, aligning data & AI initiatives with overall business objectives.

  • Prioritize AI use cases aligned to value potential and strategic objectives.

  • Lead and mentor cross-functional teams. Collaborate across strategy, architecture, engineering, and delivery disciplines.

  • Contribute to go-to-market activities, solutioning, proposal development, and capability building.

  • Oversee the end-to-end delivery of complex and large data projects, from planning and resource allocation to execution and post-implementation support. Ensure projects are delivered on time, within budget, and meet Accenture's highest quality standards.

  • Keep abreast of the latest developments in data management, cloud computing, and big data technologies. Continuously explore and integrate cutting-edge tools and methodologies to maintain a competitive edge.

  • Oversee and mentor a team of consultants and managers, fostering a culture of innovation, collaboration, and continuous improvement while delivering high-quality data solutions

    Here's What You Need:

    • 7+ years of experience in data & AI solutions, with at least 2 years in a team leadership or management role, a proven track record of architecting and implementing large-scale data solutions on cloud platforms like AWS, Azure, or Google Cloud.

    • Deep technical and industry expertise in Generative AI, cloud computing, emerging data/AI platforms and trends and AI-driven use cases in Banking & Capital Markets

    • Strong leadership and team management abilities, with a demonstrated ability to inspire, mentor, and grow high-performing teams. Experience in managing cross-functional teams and coordinating with stakeholders at various levels of the organization.

    • Ability to translate business objectives into a clear data & AI strategy. Experience in driving data & AI initiatives that align with orgahttps://peoplelookup.accenture.com/nizational goals and deliver measurable business value.

    • Understanding of data governance frameworks and best practices. Experience in implementing and enforcing data quality, security, and compliance standards across large datasets.

    • Excellent project and program delivery skills, with the ability to manage multiple complex projects simultaneously. Strong organizational, time management, and decision-making skills.

    • Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. Experience in stakeholder management and in presenting to senior leadership.

    • A passion for staying up to date with the latest trends and advancements in data management, cloud computing, and big data technologies. Eagerness to continuously learn and adapt in a rapidly evolving field

    • Ability to travel and work within Canada

    • A University Degree is required for this position.

    • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

    Bonus Points if:

    • Previous experience within the consulting industry

    • A master's or Ph.D. in Data Science, Computer Science, or a related field, with a focus on Generative AI, Agentic AI or cloud computing

    • Experience in sectors such as finance, healthcare, retail, or manufacturing, with an understanding of industry-specific data challenges and regulatory requirements

    • Relevant certifications in solution architecture or data governance

    Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.

    The recruiting efforts for this position are intended to fill a brand new position.
    The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.

    It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

    Information on benefits is here.

    Role Location Annual Salary Range

    British Columbia/Ontario$108,800 to $220,400

    About Accenture

    Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

    Visit us atwww.accenture.com

    Equal Employment Opportunity Statement

    We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.


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