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Senior Manager Data Analytics Jobs in Quebec (NOW HIRING)

Support HR data governance and data management practices, ensuring the integrity, quality, privacy ... analytics discipline, including experience partnering with senior stakeholders and leading ...

Support HR data governance and data management practices, ensuring the integrity, quality, privacy ... analytics discipline, including experience partnering with senior stakeholders and leading ...

We are looking for a senior Data Analyst that can be not only an employee of a great team but also ... Prototype new solutions based on team needs and manager direction * Provide visibility and analysis ...

$110 - $165/hr

... preparing, analyzing, and interpreting financial data and key performance indicators. KEY ... for senior management and the Board of Directors. * Oversees and participates in the income tax ...

$120 - $180/hr

... preparing, analyzing, and interpreting financial data and key performance indicators. KEY ... for senior management and the Board of Directors. * Oversees and participates in the income tax ...

QC · On-site

$120 - $130/hr

Senior Manager, Finance - US GAAP Conversion Contract Duration: 1 Year Salary & Benefits: 120-130K ... data preparation, reporting alignment, system testing, and comparative financial analysis. Partner ...

As a data analyst, you collect, process, analyze and use data that comes through different channels ... person and coach for senior management and decision-making bodies. You interact with many ...

Minimum of five (5) years of professional experience in an analytical and innovative environment, including at least two (2) years in management or coaching. * Data science enthusiasts with a ...

Showing results 21-40

Senior Manager Data Analytics information

See Quebec salary details

$32K

$126.9K

$197K

How much do senior manager data analytics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior manager data analytics in Quebec is $126,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Quebec?

For Senior Manager Data Analytics jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Quebec look for?

The top searched job categories for Senior Manager Data Analytics jobs in Quebec are:

What cities in Quebec are hiring for Senior Manager Data Analytics jobs?

Cities in Quebec with the most Senior Manager Data Analytics job openings:

Infographic showing various Senior Manager Data Analytics job openings in Quebec as of August 2026, with employment types broken down into 69% Full Time, 20% Part Time, and 11% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $126,919 per year, or $61 per hour.

Senior Manager, HR Analytics

KPMG

Quebec, QC • On-site

Full-time

Posted 16 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

The HR Digital Enablement & Analytics Centre of Excellence supports the transformation of how we deliver services. The HR Analytics team, in collaboration with the BES Enterprise Analytics and HR Technology teams, is responsible for providing proactive, scalable, and actionable talent-related insights that enable better talent decisions and stronger business outcomes.

The HR Digital Enablement & Analytics Centre of Excellence is part of KPMG’s National HR structure and plays a strategic role in strengthening HR’s analytics, automation, data storytelling, and data-driven decision-making capabilities.


What you will do
  • Lead the execution of KPMG's HR Analytics strategy, translating workforce data into actionable insights that enable evidence-based decision making and measurable business outcomes.
  • Partner with HR leaders and business leaders as a trusted advisor, shaping key workforce questions, identifying opportunities, risks, and influencing strategic decisions through data and analytics.
  • Deliver compelling workforce insights and executive reporting, connecting HR KPIs, trends, and predictive analytics to business impact, ROI, and future workforce needs.
  • Oversee the development of HR dashboards, analytics solutions, and data visualizations, ensuring insights are relevant, accessible, and drive action across the organization.
  • Support advanced analytics and predictive modeling, helping leaders anticipate workforce trends, inform talent strategies, and improve organizational outcomes.
  • Support HR data governance and data management practices, ensuring the integrity, quality, privacy, and responsible use of workforce data across systems and reporting platforms.
  • Collaborate with HR Technology, Enterprise Analytics, ITS, and business stakeholders to strengthen data ecosystems, integrate new data sources, and scale analytics capabilities.
  • Contribute to the evolution of the HR Analytics operating model, including governance, prioritization, adoption, capability development, and continuous improvement.
  • Implement innovative, scalable solutions that improve efficiency, accelerate insight generation, and advance HR's analytics maturity.
  • Lead, coach, and develop a high-performing HR Analytics team, building capability in analytics, storytelling, stakeholder advisory, data governance, and continuous improvement.

What you bring to the role
  • Bachelor's degree in Data Analytics, Statistics, Business Intelligence, Information Management, Mathematics, or a related field.
  • 7+ years of progressive experience in People Analytics, Workforce Analytics, Business Intelligence, or a related analytics discipline, including experience partnering with senior stakeholders and leading analytics initiatives.
  • PowerBI and SQL tool proficiency preferred.
  • Proven ability to translate complex workforce data into clear, actionable insights that influence strategic business decisions.
  • Strong expertise in analytics, data modeling, statistical analysis, and predictive insights, with the ability to solve complex business challenges.
  • Advanced proficiency in data visualization and storytelling, with experience creating impactful dashboards and executive-level presentations using tools such as Power BI.
  • Demonstrated experience working with large, complex datasets from multiple structured and unstructured sources, including strong SQL capabilities.
  • Exceptional stakeholder management and relationship-building skills, with the ability to influence and advise senior leaders, HR Leaders, and cross-functional teams.
  • Experience leading analytics teams, managing priorities, and coaching team members to deliver high-quality, business-focused outcomes.
  • Strong project management, problem-solving, and decision-making skills, with the ability to manage competing priorities in a fast-paced and evolving environment.
  • A mindset focused on continuous improvement, innovation, and operational excellence, with a passion for advancing data literacy and data-driven decision making.
  • Bilingualism (English/French) and experience working with HR systems and data are considered strong assets.

This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG NB Region Pay Range Information   

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Business Intelligence, Information Management, Mathematics, or a related field.
  • 7+ years of progressive experience in People Analytics, Workforce Analytics, Business Intelligence, or a related analytics discipline, including experience partnering with senior stakeholders and leading analytics initiatives.
  • PowerBI and SQL tool proficiency preferred.
  • Proven ability to translate complex workforce data into clear, actionable insights that influence strategic business decisions.
  • Strong expertise in analytics, data modeling, statistical analysis, and predictive insights, with the ability to solve complex business challenges.
  • Advanced proficiency in data visualization and storytelling, with experience creating impactful dashboards and executive-level presentations using tools such as Power BI.
  • Demonstrated experience working with large, complex datasets from multiple structured and unstructured sources, including strong SQL capabilities.
  • Exceptional stakeholder management and relationship-building skills, with the ability to influence and advise senior leaders, HR Leaders, and cross-functional teams.
  • Experience leading analytics teams, managing priorities, and coaching team members to deliver high-quality, business-focused outcomes.
  • Strong project management, problem-solving, and decision-making skills, with the ability to manage competing priorities in a fast-paced and evolving environment.
  • A mindset focused on continuous improvement, innovation, and operational excellence, with a passion for advancing data literacy and data-driven decision making.
  • Bilingualism (English/French) and experience working with HR systems and data are considered strong assets.

This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG NB Region Pay Range Information   

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME