Reference no. R2867765
Position title: Data Analyst
Department: Diamond
Location: Toronto, ON
About the job
Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.
Reporting directly to the Sales and Demand Insights Data Product Manager, the Data Analyst (L2) is responsible for managing, analyzing, and transforming commercial data into AI-ready, trusted assets that power business decisions across US Brands.
This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a commitment to Sanofi's AI-Ready Data principles: Understood, Trusted, Safe, and Shared.
About Sanofi
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
Main Responsibilities:
AI-ENABLED ANALYTICS AND INSIGHT GENERATION
Leverage AI and machine learning tools and techniques, including generative AI and statistical models, to identify patterns, trends, and high-leverage insights from large commercial datasets
Develop and maintain AI-ready datasets, ensuring data is structured, governed, and fit-for-purpose for use in AI and ML solutions across US Brands
Apply Sanofi's Responsible AI (RAISE) framework principles when building or consuming AI-powered analytics, ensuring transparency, fairness, and ethical use
Explore opportunities to integrate AI and ML capabilities such as predictive demand modeling, sales forecasting, and segmentation into the Sales and Demand Insights product
DATA ANALYSIS AND BUSINESS INTELLIGENCE
Analyze large datasets to identify trends, patterns, and actionable insights that drive commercial decisions
Leverage data and facts to challenge conventional wisdom, form evidence-based conclusions, and identify high-leverage intervention points
Identify and analyze business needs that support the product strategy, harmonizing across business areas for a unified commercial data foundation for all US Brands
Communicate solution trade-offs clearly to frame and influence project decisions
DATA ENGINEERING AND AI-READY DATA DEVELOPMENT
Design and define ingestion processes to ensure efficient data flow and integration aligned with Sanofi's Data Mesh architecture
Build and maintain data pipelines that meet Sanofi's AI-Ready Data standards: quality-scored, classified, governed, and discoverable in the Data Marketplace
Develop detailed functional specifications and test cases based on business requirements
Apply strong understanding of data warehousing concepts including design patterns and ETL and ELT load strategies
DATA QUALITY AND GOVERNANCE
Implement and monitor Data Quality rules in line with Sanofi's AI-Ready Data standards covering accuracy, completeness, consistency, and timeliness
Ensure datasets are scored via Informatica CDGC and remediated when below defined quality thresholds
Support data classification, access policy definition, and privacy-by-design principles in compliance with Data Privacy, GxP, SOX, and cybersecurity requirements
Collaborate with Business Data Stewards and Digital roles to maintain shared data ownership and accountability
INNOVATION AND CONTINUOUS IMPROVEMENT
Proactively monitor industry, functional, and technology trends, particularly in AI and ML, generative AI, and commercial analytics
Identify new opportunities to leverage data and integrate internal and external sources to enhance business value
Aggregate and evaluate digital data sources including web, email, social media, and CRM to enrich commercial insights
About You
Required Qualifications:
Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field
Minimum 3 years of experience in data analysis, data manipulation, and data management
Expert proficiency in SQL and data querying
Proficiency in Python for data analysis and AI and ML workflows
Hands-on experience building or consuming AI-ready datasets and working with AI and ML platforms
Familiarity with Responsible AI principles and ethical data use including bias, fairness, and transparency
Experience with data warehousing, Snowflake, ETL and ELT pipelines, and cloud platforms
Strong team player with the ability to collaborate effectively in a fast-moving, agile environment
Preferred Qualifications:
Experience in commercial pharmaceuticals, biotech, or healthcare
Familiarity with Sanofi's AI Foundry, Data Mesh, or Informatica CDGC
Knowledge of generative AI tools and large language model-based analytics applications
Experience with digital data sources including web analytics, CRM, email, social media, and TV
Knowledge of Six Sigma and Agile practices
Tools and technologies:
Snowflake, SQL, Python, Informatica, AWS
JIRA, Confluence
Microsoft Suite including Teams, Excel, and PowerPoint
Power BI or equivalent data visualization tools
SANOFI SKILLS PROFILE - DATA ANALYSIS L2
(Aligned to Sanofi Global Jobs and Skills Official Taxonomy 2025)
Technical Skills:
Structured Query Language - SQL (Experienced)
Data Visualization (Intermediate)
Applied Statistics (Experienced)
Data Modeling (Experienced)
Functional Skills:
Data Analytics (Intermediate)
Data Quality (Intermediate)
Data Management (Intermediate)
Responsible AI (Intermediate)
Transversal Skills:
Business Acumen (Experienced)
Communication (Experienced)
Decision Making (Intermediate)
Professional Collaboration (Experienced)
Why Choose Us?
Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs.
This position is for a new vacant role that is now open for applications.
"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal, Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.
Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.
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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
