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Junior Project Controller
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SII Canada

Analyste d'Affaires (Junior)

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 5, 2026
Posting language: English · French
Posted: Nov 5, 2026

Original job description

English section of this bilingual listing.

This role is associated with a specific project and directly supports its objectives, deliverables, and operational requirements.

Role And Accountabilities

Collect, cleanse, categorize, and validate procurement data, ensuring accuracy, consistency, and readiness for operational analytics.
Transform data into actionable insights to identify operational procurement opportunities, trends, and performance improvement areas.
Develop, maintain, and enhance dashboards and reporting to provide clear, reliable, and decision-ready operational insights.
Publish and manage analytics outputs, ensuring stakeholders have timely access to relevant and up-to-date information.
Identify and resolve data quality issues, reporting gaps, and inconsistencies to strengthen analytics reliability.
Support data governance, including data standards, metric definitions, naming conventions, ownership, and foundational data rules.
Apply and enforce governance standards across dashboards and reporting outputs to ensure consistency and control.
Monitor data and reporting practices to ensure alignment with governance requirements and evolving business needs.
Collaborate closely with procurement, digital, and analytics teams to align data structures, reporting priorities, and insight needs.

Required Qualifications

Bachelor’s degree in Data Analytics, Data Science, Engineering, Business, Supply Chain, Finance, or a related discipline.
Minimum of four years of relevant experience in analytics, business intelligence, procurement analytics, reporting, or data management.
Demonstrated experience collecting, cleansing, structuring, and analyzing data to support dashboards and business reporting.
Experience developing, maintaining, and publishing dashboards and analytics outputs to enable data-driven decision-making.
Knowledge of or exposure to data governance, metric standardization, and reporting quality improvement is considered an asset.
Working knowledge of procurement and Source-to-Pay processes is considered an asset.

Read the full bilingual original

Description

La personne titulaire du poste contribue aux activités d’habilitation et de gouvernance de l’approvisionnement en assurant la collecte, le nettoyage, la catégorisation, la validation et la gouvernance des données d’approvisionnement. Elle veille à l’exactitude, à la cohérence et à l’utilisabilité des données dans l’ensemble des systèmes.

Ce rôle s’inscrit dans le cadre d’un projet spécifique et contribue directement à l’atteinte de ses objectifs, à la réalisation de ses livrables et à la satisfaction de ses exigences opérationnelles.

Rôle Et Responsabilités

Recueillir, nettoyer, catégoriser et valider les données d’approvisionnement afin d’en assurer l’exactitude, la cohérence et la préparation pour les analyses opérationnelles.
Transformer les données en renseignements exploitables afin d’identifier les occasions opérationnelles en approvisionnement, les tendances et les possibilités d’amélioration du rendement.
Concevoir, maintenir et améliorer les tableaux de bord et les rapports afin de fournir des renseignements opérationnels clairs, fiables et directement exploitables pour soutenir la prise de décision.
Publier et gérer les produits analytiques afin de garantir aux parties prenantes un accès en temps opportun à de l’information pertinente et à jour.
Identifier et résoudre les problèmes liés à la qualité des données, les lacunes dans les rapports et les incohérences afin d’améliorer la fiabilité des analyses.
Soutenir la gouvernance des données, notamment les normes de données, la définition des indicateurs, les conventions de dénomination, la responsabilisation et les règles fondamentales relatives aux données.
Appliquer et faire respecter les normes de gouvernance dans les tableaux de bord et les rapports afin d’en assurer la cohérence et le contrôle.
Surveiller les pratiques liées aux données et aux rapports afin d’assurer leur conformité aux exigences de gouvernance et leur adaptation à l’évolution des besoins opérationnels.
Collaborer étroitement avec les équipes d’approvisionnement, du numérique et de l’analytique afin d’harmoniser les structures de données, les priorités en matière de rapports et les besoins en renseignements.

Qualifications Requises

Baccalauréat en analyse de données, science des données, génie, administration des affaires, chaîne d’approvisionnement, finance ou dans une discipline connexe.
Minimum de quatre années d’expérience pertinente en analytique, intelligence d’affaires, analytique de l’approvisionnement, production de rapports ou gestion des données.
Expérience démontrée dans la collecte, le nettoyage, la structuration et l’analyse de données pour soutenir la création de tableaux de bord et de rapports d’affaires.
Expérience dans la conception, le développement et la publication de tableaux de bord et de produits analytiques permettant une prise de décision fondée sur les données.
Connaissance ou expérience de la gouvernance des données, de la normalisation des indicateurs et de l’amélioration de la qualité des rapports considérée comme un atout.
Connaissance pratique des processus d’approvisionnement et du processus Source-to-Pay considérée comme un atout.

Description

The successful candidate will support procurement enablement and governance activities by collecting, cleansing, categorizing, validating, and governing procurement data while ensuring accuracy, consistency, and usability across systems.

This role is associated with a specific project and directly supports its objectives, deliverables, and operational requirements.

Role And Accountabilities

Collect, cleanse, categorize, and validate procurement data, ensuring accuracy, consistency, and readiness for operational analytics.
Transform data into actionable insights to identify operational procurement opportunities, trends, and performance improvement areas.
Develop, maintain, and enhance dashboards and reporting to provide clear, reliable, and decision-ready operational insights.
Publish and manage analytics outputs, ensuring stakeholders have timely access to relevant and up-to-date information.
Identify and resolve data quality issues, reporting gaps, and inconsistencies to strengthen analytics reliability.
Support data governance, including data standards, metric definitions, naming conventions, ownership, and foundational data rules.
Apply and enforce governance standards across dashboards and reporting outputs to ensure consistency and control.
Monitor data and reporting practices to ensure alignment with governance requirements and evolving business needs.
Collaborate closely with procurement, digital, and analytics teams to align data structures, reporting priorities, and insight needs.

Required Qualifications

Bachelor’s degree in Data Analytics, Data Science, Engineering, Business, Supply Chain, Finance, or a related discipline.
Minimum of four years of relevant experience in analytics, business intelligence, procurement analytics, reporting, or data management.
Demonstrated experience collecting, cleansing, structuring, and analyzing data to support dashboards and business reporting.
Experience developing, maintaining, and publishing dashboards and analytics outputs to enable data-driven decision-making.
Knowledge of or exposure to data governance, metric standardization, and reporting quality improvement is considered an asset.
Working knowledge of procurement and Source-to-Pay processes is considered an asset.

Partenaire technologique de grandes entreprises depuis 1979, le Groupe SII est au cœur de l'économie de l'innovation, avec 16 000 employés, une présence internationale dans 20 pays et un chiffre d'affaires dépassant 1,621 milliard de dollars canadiens.

SII Canada offre à ses clients une expertise technique de pointe dans les domaines du développement d'applications, du web et du mobile, de la cybersécurité et du cloud computing. Nous fournissons également des services d'ingénierie, notamment pour les systèmes embarqués dans divers secteurs industriels. Notre ambition est de faire progresser les systèmes d'information et de contribuer à la création des produits et services de demain pour nos clients.

De plus, l'inclusion est au cœur de notre culture d'entreprise. SII Canada s'engage à offrir un environnement de travail équitable et respectueux qui favorise la diversité et l'égalité des chances

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More about this job

Responsibilities

Collect, cleanse, categorize, validate, and govern procurement data, resolving quality issues and ensuring consistent, reliable information across systems. Develop and publish dashboards and reports that provide actionable operational insights, while applying governance standards and collaborating with procurement, digital, and analytics teams.

Requirements

A bachelor’s degree in data analytics, data science, engineering, business, supply chain, finance, or a related field is required, along with at least four years of relevant experience in analytics, business intelligence, procurement analytics, reporting, or data management. Candidates should have experience preparing and analyzing data and developing and publishing dashboards; knowledge of data governance, metric standardization, reporting quality, procurement, or Source-to-Pay is an asset.

Skills

Procurement Data Management
Data Cleansing
Data Validation
Data Categorization
Data Analysis
Business Intelligence
Dashboard Development
Reporting
Data Governance
Data Quality
Metric Standardization
Operational Analytics
Procurement Processes
Source-to-Pay
Stakeholder Collaboration

Visa sponsorship

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Keywords

Procurement
Procurement Data
Data Collection
Data Cleansing
Data Categorization
Data Validation
Data Structuring
Data Analysis
Operational Analytics
Business Intelligence
Dashboards
Business Reporting
Analytics Outputs
Data Governance
Data Standards
Metric Definitions
Metric Standardization
Naming Conventions
Data Ownership
Data Quality
Reporting Quality
Performance Improvement
Source-to-Pay
Stakeholder Collaboration
Decision Support

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