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Level 4Job Description Summary
Location: Montreal #LI-HybridJob Description
Key Responsibilities:
Lead cross-functional analytics initiatives from planning to delivery aligning scope timelines and priorities with stakeholders.
Translate business requirements into actionable data and analytics solutions across domains.
Provide hands-on support and architectural guidance across data pipelines (ETL/ELT) model development and reporting solutions.
Collaborate with data engineers to design data models and efficient dataflows in Snowflake and Dataiku.
Partner with analysts and data scientists to drive insight generation ML model deployment and automation use cases.
Collaborate with governance stakeholders to enforce data stewardship lineage and cataloging using Collibra.
Establish data quality frameworks and documentation standards across the data lifecycle.
Oversee the development and maintenance of Power BI dashboards that provide actionable insights to business leaders.
Essential Requirements:
5 years of experience in data & analytics.
Proven ability to manage complex data projects across multiple domains and stakeholders.
Hands-on experience with platforms like AWS Snowflake Collibra Dataiku and PowerBI and proficiency in Python and SQL.
Strong understanding of data engineering ML lifecycle governance principles and dashboard best practices.
Excellent interpersonal organizational and communication skills.
Desirable Requirements:
Technical background (Software Engineering Computer Science Information Systems).
Prior experience working in a relevant industry or consulting environment.
Skills Desired
Agility Analytical Thinking Brand Awareness Building Construction Business Analytics Cross-Functional Collaboration Digital Marketing Marketing Strategy Media Campaigns Sales Stakeholder Engagement Stakeholder Management Strategic Marketing Waterfall ModelRequired Experience:
Manager
Full-Time