Data Analytics Manager

Novartis; Montreal; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading company in the pharmaceutical industry is seeking a Data Analytics Manager in Montreal. The role involves leading analytics initiatives, providing technical delivery, and collaborating closely with business and technical teams. Candidates should have a strong background in data engineering, machine learning, and analytics, with proficiency in Python and SQL.

Qualifications

• 5+ years of experience in data & analytics.
• Proficiency in Python and SQL.
• Strong understanding of data engineering and ML lifecycle.

Responsibilities

• Lead analytics initiatives from planning to delivery.
• Translate business requirements into actionable data solutions.
• Oversee the development of Power BI dashboards.

Skills

Data Engineering

Machine Learning

Data Governance

Python

SQL

Collibra

Power BI

Data Analysis

Education

Technical background in Software Engineering or Computer Science

Tools

AWS

Snowflake

Dataiku

Job description

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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 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

About The Role

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.
  
  

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network

Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Pharmaceutical Manufacturing

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