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Management Analyst Jobs in Quebec (NOW HIRING)

Fed IT

Functional Analyst - SAP EWM

Montreal, QC · On-site

... PMO and business stakeholders. Solution Delivery: Gather, analyze, and document business ... requirements for logistics operations. Estimate effort, plan implementations, and recommend ...

Fed IT

... PMO and business stakeholders. Solution Delivery: Gather, analyze, and document business ... requirements for logistics operations. Estimate effort, plan implementations, and recommend ...

Fed IT

... PMO and business stakeholders. Solution Delivery: Gather, analyze, and document business ... requirements for logistics operations. Estimate effort, plan implementations, and recommend ...

Fed IT

... PMO and business stakeholders. Solution Delivery: Gather, analyze, and document business ... requirements for logistics operations. Estimate effort, plan implementations, and recommend ...

SYSTRA

Support the Project Management Office (PMO) in its data management tasks, including data transformation, structuring, and analysis. * Ensure the consistency, integrity, and standardization of project ...

Manulife

Senior Analyst, Model Risk Management

Montreal, QC · Hybrid

CA$65K - CA$109K/yr

The Senior Analyst, Model Risk Management is a member of the Group Model Risk Management team, which is responsible for validating models related to economic capital, Asset Liability Management (ALM ...

New

Howmet Aerospace

LPI Level 2

Laval, QC · On-site

* Doit etre certifie niveau II et avoir au moins deux ans d'experience en inspection par ressuage fluorescent. * Contacts Niveau III pour informer des problemes sur des pieces specifiques. * Etablit ...

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All JobsManagement Analyst JobsManagement Analyst Jobs in Quebec

Management Analyst information

See Quebec salary details

$20K

$70.8K

$108K

How much do management analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for management analyst in Quebec is $70,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $80,500.00 per year, depending on experience, location, and employer.

What is a management analyst?

A Management Analyst, sometimes known as a management consultant, is a professional who helps organizations improve their efficiency and effectiveness. They analyze business processes, identify areas for improvement, and recommend solutions to help companies increase productivity and reduce costs. Management Analysts may work for consulting firms or as independent contractors, and they often work closely with managers to implement new strategies or organizational changes.

What is a management analyst?

A management analyst works with a company to improve its business operations. As a management analyst, your primary duties involve analyzing the organization, talking to its employees, and proposing new ways to make operations more efficient. You work directly with management to come up with new solutions that reduce costs and increase revenues. The job typically requires a master’s degree in business administration, finance, or a related field. Additional qualifications include excellent communication skills and the ability to look at problems with an open mind.

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

To thrive as a Management Analyst, you need strong analytical skills, problem-solving abilities, and a bachelor's degree in business, finance, or a related field. Familiarity with data analysis tools like Excel, SQL, and project management software, as well as certifications such as Certified Management Consultant (CMC), are often valuable. Excellent communication, adaptability, and interpersonal skills help you engage stakeholders and drive organizational improvements. These capabilities are crucial for delivering actionable recommendations that enhance efficiency and competitiveness in client organizations.

What are some common challenges management analysts face when working with client organizations?

Management Analysts often encounter challenges such as resistance to change from client staff, navigating complex organizational structures, and balancing multiple stakeholder interests. It's common to address skepticism about proposed solutions and to adapt recommendations to fit the company's unique culture and constraints. Strong communication skills and flexibility are essential, as analysts frequently collaborate with diverse teams and must present findings in a way that secures buy-in from all levels of the organization.

What is the difference between Management Analyst vs Business Analyst?

AspectManagement AnalystBusiness Analyst
Required CredentialsBachelor's degree in business, management, or related field; certifications like CBAP or PMPBachelor's degree in business, IT, or related; certifications like CBAP or PMI-PBA
Work EnvironmentConsulting firms, government agencies, corporate officesIT departments, consulting firms, corporate offices
Employer & Industry UsagePublic and private sectors focusing on organizational efficiencyTech, finance, healthcare, and other industries analyzing business processes

Management Analysts and Business Analysts share similar credentials and often work in similar environments, focusing on improving organizational efficiency. While Management Analysts typically evaluate overall management practices, Business Analysts concentrate more on specific business processes and technology solutions. Both roles are essential for organizational improvement but differ in scope and focus.

Do you need a degree to be a management analyst?

A management analyst typically needs at least a bachelor's degree in business, management, economics, or a related field. Some positions may prefer or require a master's degree or professional certifications, and strong analytical and communication skills are essential for success in the role.

How much does a management analyst make?

Management analysts in Texas earn an average annual salary of around $75,000, though this can vary based on experience, industry, and location. Entry-level positions typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. The role often requires strong analytical skills and proficiency with data analysis tools.

Is being a management analyst hard?

Management analysts analyze organizational problems and recommend solutions, which can involve complex data analysis, report writing, and client communication. The job often requires strong analytical skills, problem-solving abilities, and the capacity to handle multiple projects, making it challenging for some individuals. Experience with tools like Excel and project management skills can help manage workload effectively.
More about Management Analyst jobs

What are popular job titles related to Management Analyst jobs in Quebec?

For Management Analyst jobs in Quebec, the most frequently searched job titles are:

What are popular job titles related to Management Analyst jobs in QC?

For Management Analyst jobs in QC, the most frequently searched job titles are:

Management Analyst jobs near you
Infographic showing various Management Analyst job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $70,751 per year, or $34 per hour.

Director Enterprise Data Mgmt & Analytics

Walter Surface Technologies Incorporated

Pointe-claire, QC • On-site

Full-time

Posted 24 days ago

Job description

Reports to: Chief Financial Officer


For over 70 years, WALTER Surface Technologies has been a world leader in surface treatment technologies providing high performance abrasives, tools, power tools, chemical solutions, safety solutions, and welding process solutions specifically designed for the metalworking industry. Our core philosophy is focused on helping customers work better and achieving greatness with the best technology, the best products, the best performance, the best safety, and the best durability - all designed to increase their productivity and profitability.

Walter Surface Technologies’ Data & Analytics function is a strategic, enterprise-wide business unit, and this role leads that capability - delivering accurate, governed and actionable data to all employees for better decision making, while continuing to scale and modernize the estate.

Summary

The Director, Enterprise Data Management and Analytics leads the development and maintenance of tools that permit the organization to make data-driven decisions. You own Data Management, Data Governance, Data Engineering, Data Integration and drive Data Insights across all Walter entities. Your portfolio spans Business Intelligence and self-service analytics on a modern Snowflake & Sigma Computing platform, enterprise integrations across a multi-ERP estate (D365 F&O, SAP, Oracle), the B2B commerce ecosystem (Salsify, Salesforce, Mulesoft), AI/ML & GenAI capabilities, and the direct administration, maintenance and support of the data stack, reusable data products and business logic that deliver the consolidated data model consumed by downstream systems such as Logility, Sigma and other enterprise applications.

You bridge the gap between business and technical stakeholders, translating strategy into data roadmaps and communicating value, trade-offs and progress to senior leadership. Your track record spans data management, engineering leadership and enterprise technology, with a strong background in IT, sales and marketing, and the ability to build sound foundations across technology, people and process.

Responsibilities

  • Own and evolve the enterprise data & analytics strategy, roadmap and data governance framework across all Walter Surface Technologies entities, providing both tactical and strategic leadership and managing 3rd-party vendors and consultants.
  • Lead the planning, development and management of Data initiatives, Business Intelligence, self-service analytics, web, intranet and product information services, programs and operations on a modern, governed Snowflake & Sigma Computing platform, including day-to-day administration, support and ongoing maintenance of the data stack, data products and business logic that power downstream operational and analytical systems.
  • Direct enterprise data engineering and integration across a multi-ERP estate (D365 F&O, SAP, Oracle) and the B2B commerce ecosystem (Salsify, Salesforce, Mulesoft), unifying analytics into a single governed source of truth.
  • Operate, administer, support and continuously maintain a modern data engineering stack - a segregated analytical data store, ELT pipelines, governed semantic layer, curated data products and embedded business logic - including monitoring jobs, resolving data issues, managing configurations and access, keeping reporting load off production ERPs, simplifying acquisition integrations and delivering a consolidated data model for downstream systems such as Logility, Sigma and others.
  • Embed scalable AI/ML and GenAI systems on modern data and cloud platforms (Databricks, Spark, Snowflake) - demand forecasting, product classification, and governed LLM-powered search and document intelligence - setting best practices for experimentation and validation against both technical and business outcomes.
  • Act as program / project manager and operational data-system owner for complex business systems transformations and acquisition integrations (BI / Data / Web / Mobile Apps) through reusable, scalable data products that preserve shared business definitions, support production use and feed enterprise downstream systems.
  • Institute enterprise data governance (master data, quality, lineage, stewardship) and FinOps discipline that makes data audit-ready and lowers cloud run-rate.
  • Develop data procedures and policies, working closely with departments to collect, prepare, organize, protect and analyze data assets; understand, manage and influence the collection, storage, pipelines, quality and protection of data.
  • Implement data privacy policies and ensure compliance with data protection regulations (GDPR, AODA/ADA).
  • Enable data value extraction - efficiencies and increased revenue based on insights derived from data - and effectively communicate the status, value and importance of data collection and governance to executives and staff.
  • Build and coach a high-performing, cross-border team of data science, engineering and analytics practitioners - owning hiring, mentorship and performance management - while creating a culture of data-driven decisions backed by investigation and collaboration.
  • Serve as a trusted partner to key business executives focused on the customer, enterprise risk management, regulatory compliance and finance; establish and oversee mechanisms to monitor compliance with governance and standards.

Required Aptitudes

  • High degree of resourcefulness, flexibility, and adaptability.
  • Leadership, staff management, and team building skills.
  • Strong negotiation and prioritization skills.
  • Strong interpersonal communication and relational skills; good organizational and project management skills; sound judgment; initiative; detail-oriented.
  • Strong analytical and logical problem-solving skills.
  • Ability to partner effectively with business functional groups (Finance, Marketing, Sales, Operations).

Required Skills

  • Experience in the distribution industry, with knowledge of supply chain and warehouse operations is an asset.
  • Prior experience with one or more ERP systems and related applications in a distribution / supply chain environment - multi-ERP estates (D365 F&O, SAP, Oracle) preferred.
  • Experience managing budgets, building business or investment cases, and applying FinOps discipline to cloud run-rate.
  • Deep knowledge of modern cloud data architecture - Snowflake, Databricks/Spark lakehouse, dbt/ELT pipelines, governed semantic layers, SQL and NoSQL databases - modern self-service analytics (Sigma Computing), plus practical data-system administration and support, including access, configuration, monitoring, troubleshooting, and the design and maintenance of consolidated data models, reusable data products and business logic for systems such as Logility, Sigma and others.
  • Experience delivering AI/ML and GenAI capabilities (RAG, LLM-powered search, vector databases) in an enterprise context.
  • Knowledge of Web and Mobile apps design/application principles and modern applications; product information management experience is a plus.
  • Experience with most data governance aspects and master data management.
  • Demonstrated experience analyzing business and technical requirements.
  • Strong analytical and customer service skills.
  • Highly effective project management and change management.
  • Ability to explain technical concepts and theories to non-technical audiences at all levels of the organization.
  • Solid experience delivering automated dashboards with key KPIs.

Experience and Education

  • Degree in Computer Science, Data Science or equivalent experience; MBA preferred.
  • Minimum 10 years of experience in a data management role.

Working Conditions

Walter Surface Technologies offers competitive salary packages, an incredible work environment, and career advancement opportunities.

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