Top Business Intelligence Jobs in Montreal

This job is a call for talents in advanced analytics and AI, seeking Data Scientists, Business Intelligence Advisors, Analysts, and Data Governance Advisors. Interns are also welcome to apply for future opportunities.

Develop, maintain, and optimize Power BI dashboards and data models to support revenue forecasting, capacity planning, sales and operational analytics. Ensure data accuracy and quality, enable new analytics use cases, liaise with IT/data warehouse teams, and deliver reports, documentation, and presentations to support decision-making.

Develop and maintain Power BI dashboards and data models for finance; perform analyses (variance, trends), ensure data quality, collaborate with finance stakeholders, and drive BI best practices and AI-enabled improvements.

Développer et maintenir tableaux de bord Power BI et modèles analytiques pour la finance. Produire analyses (variances, tendances), valider qualité des données, collaborer avec équipes financières, et améliorer pratiques BI en intégrant de nouvelles approches (incluant IA).

Concevoir, développer et maintenir des tableaux de bord Power BI, modéliser les données et créer des mesures DAX, valider la qualité des données, réaliser analyses financières (variances, tendances), soutenir les équipes finance, et contribuer à l'amélioration continue des pratiques BI en intégrant de nouvelles approches et outils, incluant l'IA.

Design and deliver dashboards, reports, and scorecards using BI tools; validate data quality; perform analysis to generate actionable insights; present findings to stakeholders; automate reporting and adopt visualization standards; act as subject-matter expert and collaborate across AI, analytics, and business teams.

Design, architect and implement end-to-end BI solutions including OLTP/OLAP, ETL, data modeling, integration and reporting. Lead requirements gathering, propose BI strategy/roadmap, recommend tools, build proofs-of-concept, optimize DW performance, and support customer presentations and technical proposals.

Design, architect and implement end-to-end BI and data warehouse solutions. Lead requirements gathering, data modeling, ETL integration, report design and tool selection. Provide technical leadership, create BI roadmaps, develop proofs-of-concept, present solutions to customers, and recommend standards to optimize DW/DB performance.

As a BI Developer, you will build data pipelines using Python and SQL, develop Data Warehouse solutions, and design database frameworks while collaborating with internal clients and training team members on BI technologies.

The role involves developing BI solutions, including data architecture, SQL queries, and database construction, while collaborating with business partners.

Lead BI strategy and delivery: build dashboards and automated ETL, design data models, perform market and financial analyses, oversee research and forecasting, manage teams and stakeholder relationships, and maintain data assets and industry contacts.

Lead BI reporting and analysis for Advertising Technologies: design dashboards, define ETL/data models, create KPIs, resolve data quality issues, deliver recurring and ad-hoc reports, automate reporting workflows, document data logic, and collaborate with stakeholders to communicate insights.

Junior BI/Salesforce consultant to gather requirements, design data models, build dashboards (Power BI/Tableau/Looker), query and transform data with SQL, configure Salesforce, integrate systems with Zapier, participate in testing and documentation, and communicate solutions to stakeholders while learning new technologies as needed.

Lead BI reporting and advanced marketing analyses to optimize campaign performance and ROI. Build and maintain dashboards, consolidate and govern data, model insights, and provide strategic recommendations to cross-functional teams. Mentor junior analysts, drive process improvements, and translate complex data for non-technical stakeholders to inform business and marketing decisions.

The Business Intelligence Analyst will analyze user interactions, create reports, optimize data processes, and collaborate with teams for insights using SQL and data visualization tools.

Agir comme lien entre les opérations et les plateformes de données : analyser et documenter les besoins BI, transformer les requis en spécifications fonctionnelles, clarifier la structure des données sources pour les développeurs, documenter les processus ETL/ELT, et participer au nettoyage, à la transformation et à la validation des données pour assurer exactitude et intégrité.

Develop and maintain Power BI dashboards and data models for finance, create DAX measures, validate data quality, perform variance and trend analyses, collaborate with finance and operations stakeholders, and help evolve BI practices and adopt new tools including AI.

The role involves architecting BI solutions, data engineering on Azure, client interaction, project management, and mentoring juniors. It requires extensive experience in solution architecture and cloud technologies.

Serve as the bridge between business operations and BI platforms: gather and document BI data requirements, produce functional specifications, clarify source data for developers, document ETL/ELT processes, and assist with data cleansing, transformation, and validation to ensure data accuracy and traceability.

As a Software Developer in Business Intelligence, you'll analyze complex datasets, collaborate with stakeholders, build data models, and develop insights for product optimization in the interior decor industry.

Lead and expand the company's BI and analytics capabilities: set data strategy with senior leadership, manage analytics pipeline and BI stack, implement data governance, mentor and grow BI and data engineering teams, partner cross-functionally to drive data-informed decisions, and manage vendors and processes for scalability.

The Director of Business Intelligence leads analytics strategy for a CPG organization, driving insights across various teams and optimizing marketing performance through data-driven decisions.