Data Analytics Manager

Novartis; Montreal; Hybrid; CAD 85,000 - 120,000; Full time

Job summary

A leading company is seeking a hands-on Data Analytics Manager in Montreal to lead analytics initiatives and manage complex data projects. The role involves technical delivery using Python and SQL, collaborating with teams across Data Engineering and Machine Learning, and ensuring data quality and governance standards. The ideal candidate has 5+ years of experience and a strong technical background.

Qualifications

• 5+ years of experience in data & analytics.
• Ability to manage complex data projects across multiple domains.
• Excellent interpersonal, organizational, and communication skills.

Responsibilities

• Lead cross-functional analytics initiatives from planning to delivery.
• Provide hands-on support for data solutions and governance.
• Establish data quality frameworks across the data lifecycle.

Skills

Python

SQL

Data Governance

Machine Learning

Data Engineering

Collibra

Snowflake

Dashboarding

Power BI

Education

Technical background in Software Engineering, Computer Science, or Information Systems

Tools

AWS

Dataiku

Power BI

Snowflake

Collibra

Dataiku

Job description

Join to apply for the Data Analytics Manager role at Novartis

Summary

Location: Montreal,

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 will actively contribute to technical delivery, including writing production-grade Python and SQL, deploying pipelines, and building dashboards. You will be involved in all areas of a modern data team, such as Data Engineering, Data Governance, Advanced Analytics, Machine Learning / AI, and Dashboarding.

The role reports directly to the Data Strategy Lead and collaborates closely with the Business Excellence & Execution team.

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 data flows in Snowflake and Dataiku.
• Partner with analysts and data scientists to drive insights, ML model deployment, and automation use cases.
• Work 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 providing actionable insights to business leaders.
• Require 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, 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.
• Technical background in Software Engineering, Computer Science, or Information Systems.
• Prior experience in relevant industries or consulting environments.

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Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Research, Analytics, and IT; Pharmaceutical Manufacturing

Greater Montreal Metropolitan Area 2 days ago

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This job is active and accepting applications.