Data Analytics Manager

Job Description Summary

Location: Montreal, #LI-Hybrid
Novartis is unable to offer relocation support for this role; please only apply if this location is accessible for you.
About the role:
We are seeking a hands-on Data Analytics Manager who thrives at the intersection of strategy and execution. In this role, you won’t just manage projects, you’ll actively contribute to their technical delivery. From writing production-grade Python and SQL to deploying pipelines and building dashboards, you will play a direct role in shaping our data products. This position covers all areas of a modern data team, including Data Engineering, Data Governance, Advanced Analytics, Machine Learning / AI, and Dashboarding.
The role reports directly into the Data Strategy Lead and will work closely with Business Excellence & Execution cross-functional team.
Permanent position

 

Job 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 Model