Top Business Intelligence Jobs in Montreal

Lead the strategy and evolution of customer data, analytics, and intelligence capabilities. Drive segmentation, advanced and predictive analytics, executive dashboards, customer lifetime value measurement, centralized customer data, and Master Data Management. Ensure data quality, governance, and effective analytics platforms while partnering with business and technology leaders. Build and lead a multidisciplinary team, influence strategic decisions, and translate data into growth, customer experience, and business value.

Collaborate with stakeholders to define analytical requirements, integrate data into warehouses, design transformations and workflows, document testing, troubleshoot and optimize data pipelines, support data quality initiatives, resolve incidents, and recommend system improvements while communicating with pan-Canadian stakeholders.

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.

Acts as a bridge between business and data teams by gathering requirements, defining and governing KPIs, designing interactive Power BI or Fabric dashboards, validating data with SQL, and supporting testing, documentation, training, and user adoption. Collaborates with data engineering, BI, architecture, and business stakeholders to deliver coherent, actionable analytical solutions in Agile environments.

Lead BI efforts to automate and modernize reporting using SQL, Looker/LookML, Snowflake/BigQuery and LLM connectors. Build actionable dashboards, validate and reconcile commerce and financial datasets, run alignment meetings with stakeholders, mentor analytics staff on generative AI and prompt engineering, and provide real-time monitoring during major shopping events.

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.

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.

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.

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.

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.

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.

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.