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Ux Data Analyst Jobs in Quebec (NOW HIRING)

Researcher

Montreal, QC · On-site

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Primary responsibilities include designing and implementing playtests and other UX research efforts, analyzing data, and authoring summaries and reports. If you have knowledge of or interest in video ...

Selected candidates will undergo an initial interview to discuss about their experience, skills ... Perform data analysis and create arguments based on statistical data * Discover useful information ...

... data culture, shortening the decision-making process, and adopting a true industrial approach ... We work closely with UX design team and targeting the best quality to provide services to external ...

Years of experience: 2 to 3 years of experience in a similar role. Technical skills: * Excellent proficiency in Excel: features, advanced formulas, and analysis. * Skills in data management ...

At least 2 years of experience in BI/data * Advanced SQL (complex queries, optimization) * Advanced ... Analytical mindset and problem-solving orientation * Communication skills and a collaborative ...

... data sources, redeeming offers, trying to fraud our system, duplicating accounts, etc The candidate will need a crystal clear understanding of our mission, our product and our user experience. The ...

Tu dirigeras une équipe en pleine croissance composée de trois Product Designers et d'un · e UX ... utilisateur jusqu'à l'analyse des données produit. * Effectuer une veille active de la ...

Showing results 41-60

Ux Data Analyst information

See Quebec salary details

$12

$43

$76

How much do ux data analyst jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ux data analyst in Quebec is $43.93, according to ZipRecruiter salary data. Most workers in this role earn between $30.05 and $60.58 per hour, depending on experience, location, and employer.

What is the difference between Ux Data Analyst vs User Experience Designer?

AspectUx Data AnalystUser Experience Designer
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in data toolsBachelor's in Design, Human-Computer Interaction, or related field; portfolio of design work
Work EnvironmentData-driven teams, analytics departments, product teamsDesign teams, product development, user research groups
Employer & Industry UsageTech companies, e-commerce, finance, healthcareTech firms, agencies, startups, any user-centered product company
Common Search & Comparison IntentUnderstanding data analysis roles in UXDesign-focused UX roles and responsibilities

The Ux Data Analyst focuses on analyzing user data to inform design decisions, while the User Experience Designer creates the visual and interactive aspects of user interfaces. Both roles often collaborate but serve different functions within the product development process.

What are the key skills and qualifications needed to thrive as a UX data analyst?

To thrive as a UX Data Analyst, you need a solid understanding of user experience principles, quantitative and qualitative research methods, and data analysis, often supported by a degree in psychology, HCI, or a related field. Familiarity with analytics tools like Google Analytics, Tableau, SQL, and usability testing platforms is typically required. Strong communication, critical thinking, and collaboration skills help you translate data-driven insights into actionable UX improvements. These competencies are crucial for optimizing user experiences and driving product decisions based on evidence and user behavior.

How does a UX data analyst typically collaborate with designers and product managers during the product development cycle?

A UX Data Analyst works closely with designers and product managers by providing data-driven insights that inform design decisions and product strategy. They analyze user behavior through quantitative data, present findings in actionable formats, and often participate in cross-functional meetings to ensure user needs are integrated into design iterations. This collaborative approach helps the team prioritize features and refine user experiences based on real user feedback and trends, fostering a user-centric product development environment.

What is a UX data analyst?

A UX Data Analyst is a professional who collects, analyzes, and interprets user data to help improve the usability and overall experience of digital products or services. They use various methods such as user testing, surveys, and analytics tools to understand how users interact with a website or app. Their insights help design teams make informed decisions that enhance user satisfaction and business outcomes. UX Data Analysts often collaborate closely with designers, product managers, and developers to implement data-driven improvements.
What are popular job titles related to Ux Data Analyst jobs in Quebec? For Ux Data Analyst jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Ux Data Analyst jobs in Quebec look for? The top searched job categories for Ux Data Analyst jobs in Quebec are:
Infographic showing various Ux Data Analyst job openings in Quebec as of August 2026, with employment types broken down into 62% Full Time, 6% Part Time, and 32% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $91,384 per year, or $43.9 per hour.

Business Analyst - HR Data & Intelligence (Hybrid)

Morgan Stanley

Montreal, QC • Hybrid

Full-time

Posted 22 days ago


Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

30th of 150 rated financial services


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.


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