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Business And Data Analyst Jobs in Quebec (NOW HIRING)

You will be a key collaborator for engineers, data scientists, and business leaders to drive data-driven decision-making. * Innovation & Independent Analysis: You will take ownership of independent ...

Data Analyst

Montreal, QC · On-site +1

CA$64K - CA$69K/yr

Data Analyst Location: Anywhere in Canada (Hybrid and Remote) Reports to: Head of Insights and ... Knowledge and/or experience of Business Intelligence and dashboarding tools (e.g. Looker Studio ...

Data Analyst

Montreal, QC · On-site

CA$64K - CA$69K/yr

Data Analyst Location: Anywhere in Canada (Hybrid and Remote) Reports to: Head of Insights and ... Knowledge and/or experience of Business Intelligence and dashboarding tools (e.g. Looker Studio ...

Collaborate with product managers and cross-functional teams to identify, define, and address business problems and opportunities through data analysis * Use your analytical skills to derive ...

Bachelor's degree in Business Administration, Information Technology, Business Intelligence ... Strong ability to analyze large volumes of data with accuracy and attention to detail * Excellent ...

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all ...

Data Analyst Role Summary As a Data Analyst, you will support business decision-making by gathering, organizing, and interpreting information to identify trends, opportunities, and areas for ...

The PLM Data Analyst works closely with business and technical stakeholders to manage product master data, monitor data quality, and help drive continuous improvements in PLM processes and data ...

Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management ...

Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management ...

Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management ...

Marketing Manager As a Product Data Analyst (6 months contract), you will lead the management of ... You'lljoin a close-knit North American team within ABB's Emergency Lighting business, working on ...

Mission Are you passionate about data, analysis, and designing structured BI solutions, and do you ... Gather and translate business requirements to deliver concrete analytical solutions Together, let ...

You extract, describe, analyze and interpret the data needed to make informed business decisions. You provide guidance and support to clients for analytics solution mandates that involve using data ...

You will be responsible to: participate in the design of evaluation and research projects; develop quantitative and qualitative data analysis plans to meet project objectives; develop, maintain and ...

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Showing results 1-20

Business And Data Analyst information

What is a business and data analyst?

Business and Data Analysts are professionals who use data analysis and business insights to help organizations make informed decisions. They collect, process, and interpret data to identify trends, solve problems, and optimize business processes. While Business Analysts focus on understanding business needs and recommending solutions, Data Analysts specialize in analyzing data sets to extract actionable insights. Both roles often work together to support strategic planning and operational improvements. Their combined expertise is vital for driving business growth and efficiency in today's data-driven environment.

How does a business and data analyst typically collaborate with other departments within an organization?

Business and Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and IT. They gather requirements, interpret data needs, and translate findings into actionable insights for various stakeholders. Effective communication and the ability to present data-driven recommendations in a clear, concise manner are essential, as analysts often bridge the gap between technical data and business strategy. This collaborative environment not only broadens their understanding of the organization's operations but also provides opportunities for professional growth and influence.

What are the key skills and qualifications needed to thrive as a business and data analyst, and why are they important?

To thrive as a Business and Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree in business, statistics, or a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and business intelligence platforms, as well as certifications such as CBAP or data analytics credentials, is highly valued. Exceptional communication, problem-solving, and stakeholder management skills help analysts translate complex data into actionable business insights. These skills ensure accurate data-driven decision-making and effective collaboration across departments for organizational success.

What is the difference between Business And Data Analyst vs Data Scientist?

AspectBusiness And Data AnalystData Scientist
Required SkillsData analysis, reporting, business intelligence tools, SQLStatistical modeling, machine learning, programming (Python/R)
Work EnvironmentBusiness teams, analytics departments, reporting toolsData modeling, algorithm development, research
CertificationsCertified Business Intelligence Professional, SQL certificationsCertified Data Scientist, Python/R certifications
Industry UsageBusiness analysis, finance, marketing, operationsTech, research, AI development, data-driven innovation

Business And Data Analysts focus on interpreting data to support business decisions using reporting and BI tools. Data Scientists develop complex models and algorithms to extract insights from large datasets. While both roles require analytical skills and some overlapping certifications, Data Scientists typically have stronger programming and statistical expertise, working more on predictive modeling and research. Business And Data Analysts are more involved in translating data into actionable business insights for various departments.

What are popular job titles related to Business And Data Analyst jobs in Quebec?

For Business And Data Analyst jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Business And Data Analyst jobs in Quebec look for?

The top searched job categories for Business And Data Analyst jobs in Quebec are:

What cities in Quebec are hiring for Business And Data Analyst jobs?

Cities in Quebec with the most Business And Data Analyst job openings:

Infographic showing various Business And Data Analyst job openings in Quebec as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Business Analyst - HR Data & Intelligence (Hybrid)

Montreal, QC • Hybrid


Morgan Stanley
Finance and Insurance • 10K+ employees

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

33rd of 151 rated financial services

People enjoy working here

Good employer

Recommended by students


Full-time

Re-posted 4 days ago


Job description

We're seeking someone to join our team as a Business Analyst to lead the definition and delivery of HR data capabilities that enable trusted workforce insights, scalable data products, and AI-supported decision making across Human Resources and the broader business.

In the Human Capital Management division, we provide advice and insight to attract, retain, reward and develop a talented global workforce, giving employees the support and tools they need to succeed. This is a Director level position within HR Data & Intelligence, which helps the firm make better workforce decisions by turning data into trusted insight and delivering the reporting, platforms and AI-supported capabilities that support people operations and self-service access to workforce insight across HR and the business.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

  • Translate business requirements into functional specifications, data mappings, and user stories to support HR data platform enhancements.

  • Analyze HR data across systems to identify gaps, validate outputs, and support integration with downstream consumers.

  • Partner with HR, Technology, and testing teams to define test scenarios, validate results, and support end-to-end testing activities.

  • Investigate and resolve data issues by performing root cause analysis and coordinating remediation with Technology teams.

  • Assess downstream data requirements and conduct impact analysis to support platform changes and releases.

  • Design, develop, and maintain Workday reports (standard and custom) to support operational, analytical, and reconciliation needs.

  • Utilize basic to intermediate MongoDB query skills to analyze data discrepancies, validate records, and support triage activities in downstream data platforms.

What you'll bring to the role:

  • Experience working with HR data, HRIS/HCM systems (primarily Workday), or data platforms in a business analysis, data analysis, or product support capacity.

  • Ability to translate business needs into functional requirements, user stories, and data-related specifications.

  • Working knowledge of HR systems and enterprise environments, including how data flows across integrated platforms.

  • Hands-on experience with Workday report writing and reporting solutions.

  • Experience supporting RESTful API integrations and validating data exchanges.

  • Strong analytical skills, including experience working with large datasets to identify issues and validate outputs.

  • Ability to collaborate with cross-functional teams and manage priorities in a delivery-focused environment.

  • At least 4 years' relevant experience would generally be expected to find the skills required for this role.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.


Morgan Stanley logo

About Morgan Stanley

Sourced by ZipRecruiter

Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US


What Morgan Stanley employees say

Pay

Benefits

Hours and flexibility

Workplace

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