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Added 6 mins ago
MM
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- Full-time
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…better world through positive change. With more than 65 years of business and technical expertise in mining, energy, and infrastructure, our 10,000 colleagues in 150 countries tirelessly…
Added 6 mins ago
Substation Lead, Western Canada, Winnipeg EOI
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…better world through positive change. With more than 65 years of business and technical expertise in mining, energy, and infrastructure, our 10,000 colleagues in 150 countries tirelessly…
Added 21 mins ago
JH
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Added 21 mins ago
RT
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- $120,000 to $140,000 CAD / year
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Added 21 mins ago
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Added 21 mins ago
SB
Team Lead, Flight Coordination
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Skyservice is the North American market leader in business aviation. Built on the key principles of safety and service excellence, we offer full-service support and expertise in aircraft…
Added 21 mins ago
E
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Sky Systems, Inc. (SkySys)

Analyste fonctionnel de données / Data Functional Analyst

Montreal, QC, Canada

$75 to $80 CAD / hour · Contract

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Job details

Pay: $75 to $80 CAD / hour
Job type: Contract
Apply by: Nov 25, 2026
Posting language: English · French
Posted: Oct 26, 2026

Original job description

English section of this bilingual listing.

The candidate must have the following qualifications:

Excellent proficiency in business analysis applied to business intelligence data use cases, including scoping, defining business objectives, success indicators/KPIs, and value measurement;
Good knowledge of requirements gathering and formalization techniques, including workshops, interviews, user stories, acceptance criteria, use cases, and user journeys;
Good ability to analyze and document business requirements and functional specifications using Atlassian Jira and Confluence;
Good understanding of data governance and data quality concepts;
Good knowledge of BI approaches and capabilities from a functional perspective, including problem framing and modeling;
Very good knowledge of query languages, particularly SQL via Databricks, for data and KPI exploration and functional validation;
Knowledge of data-oriented cloud platforms and services, particularly Databricks; basic knowledge of Python, including Spark and PySpark for Big Data, is an asset for prototyping and validation;
Good knowledge of Agile and product management practices, including Scrum/Kanban, prioritization, backlog management, roadmaps, value criteria, as well as change management, communication, training, UAT, and adoption activities;
Demonstrated ability to explain complex concepts in simple terms, facilitate workshops, and collaborate with multidisciplinary business, IT, security, and legal stakeholders in an Agile environment;
Demonstrated professional ethics, rigor, attention to detail, commitment to quality, and sustainable development;
Appropriate knowledge of the French language for the position;
Minimum of 4 to 6 years of relevant experience in requirements analysis and data analysis within a business intelligence environment;
Hands-on experience delivering BI projects and assignments in a large-scale environment.

Read the full bilingual original

Titre/Title: Analyste fonctionnel de données / Data Functional Analyst

Durée/Duration: 30 juin 2027 / June 30, 2027 – 37.5 hours/week

Lieu/Location: Montréal, centre-ville, 2 jours par semaine chez le client. Doit travailler du Québec / Downtown Montreal, 2 days per week at the client's site. Must work from Quebec.

Le candidat doit posséder les qualifications suivantes :

Avoir une excellente maîtrise de l'analyse d'affaires appliquée aux cas d'usage de données en intelligence d'affaires, incluant le cadrage, la définition des objectifs d'affaires, les indicateurs de succès/KPI et la mesure de valeur ;
Avoir une bonne connaissance des techniques de collecte et de formalisation des besoins, notamment les ateliers, les entrevues, les user stories, les critères d'acceptation, les cas d'utilisation et les parcours utilisateurs ;
Avoir une bonne capacité d'analyse et de documentation des besoins d'affaires et des spécifications fonctionnelles, avec les outils Atlassian Jira et Confluence ;
Avoir une bonne compréhension des concepts de gouvernance et de qualité des données ;
Avoir une bonne connaissance des approches et capacités BI d'un point de vue fonctionnel, incluant le cadrage de problème et la modélisation ;
Avoir une très bonne connaissance des langages de requête, notamment SQL via Databricks, pour l'exploration et la validation fonctionnelle des données et des indicateurs ;
Avoir une connaissance des plateformes et services cloud orientés données, notamment Databricks; une connaissance de base de Python, incluant Spark et PySpark pour le Big Data, constitue un atout pour le prototypage et la validation ;
Avoir une bonne connaissance des pratiques d'agilité et de gestion de produit, incluant Scrum/Kanban, la priorisation, la gestion de backlog, la feuille de route, les critères de valeur, ainsi que les activités de conduite du changement, de communication, de formation, de UAT et d'adoption ;
Avoir démontré la capacité à vulgariser des concepts complexes, à animer des ateliers et à collaborer avec des parties prenantes multidisciplinaires métier, TI, sécurité et juridique en mode agile ;
Démontrer une éthique professionnelle, de la rigueur, un souci du détail, de la qualité et du développement durable ;
Avoir de la langue française une connaissance appropriée à la fonction ;
Posséder un minimum de 4 à 6 ans d'expérience pertinente en analyse des besoins et de données en intelligence d'affaires ;
Posséder une expérience concrète de réalisation et de livraison de mandats BI dans un environnement d'envergure

The candidate must have the following qualifications:

Excellent proficiency in business analysis applied to business intelligence data use cases, including scoping, defining business objectives, success indicators/KPIs, and value measurement;
Good knowledge of requirements gathering and formalization techniques, including workshops, interviews, user stories, acceptance criteria, use cases, and user journeys;
Good ability to analyze and document business requirements and functional specifications using Atlassian Jira and Confluence;
Good understanding of data governance and data quality concepts;
Good knowledge of BI approaches and capabilities from a functional perspective, including problem framing and modeling;
Very good knowledge of query languages, particularly SQL via Databricks, for data and KPI exploration and functional validation;
Knowledge of data-oriented cloud platforms and services, particularly Databricks; basic knowledge of Python, including Spark and PySpark for Big Data, is an asset for prototyping and validation;
Good knowledge of Agile and product management practices, including Scrum/Kanban, prioritization, backlog management, roadmaps, value criteria, as well as change management, communication, training, UAT, and adoption activities;
Demonstrated ability to explain complex concepts in simple terms, facilitate workshops, and collaborate with multidisciplinary business, IT, security, and legal stakeholders in an Agile environment;
Demonstrated professional ethics, rigor, attention to detail, commitment to quality, and sustainable development;
Appropriate knowledge of the French language for the position;
Minimum of 4 to 6 years of relevant experience in requirements analysis and data analysis within a business intelligence environment;
Hands-on experience delivering BI projects and assignments in a large-scale environment.

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More about this job

Responsibilities

Analyze and document business requirements and functional specifications for business intelligence data use cases, including scoping, objectives, KPIs, and value measurement. Explore and validate data using SQL and Databricks, facilitate stakeholder workshops, and support Agile delivery, user acceptance testing, change management, and adoption.

Requirements

Requires 4 to 6 years of relevant experience in requirements and data analysis for business intelligence, plus hands-on delivery of BI projects in a large-scale environment. Candidates should have strong SQL and Databricks knowledge, familiarity with Agile and product practices, and the ability to work with multidisciplinary stakeholders; French proficiency is required, while basic Python, Spark, and PySpark knowledge is an asset.

Skills

Business Analysis
Business Intelligence
Requirements Gathering
Requirements Documentation
Jira
Confluence
Data Governance
Data Quality
SQL
Databricks
Python
Spark
PySpark
Agile
Product Management
Stakeholder Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Business Analysis
Data Analysis
Requirements Gathering
Functional Specifications
KPIs
Value Measurement
Workshops
Interviews
User Stories
Acceptance Criteria
Use Cases
User Journeys
Jira
Confluence
Data Governance
Data Quality
SQL
Databricks
Cloud Data Platforms
Python
Spark
PySpark
Big Data
Scrum
Kanban
Backlog Management
Roadmaps
User Acceptance Testing
Change Management

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