Position title: Data Analyst

Department: Diamond

Location: Toronto, ON

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.

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)

This position is for a new vacant role that is now open for applications.

AI Usage

"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.

North America Applicants Only

The salary range for this position is:
100,500.00 - 150,500.00 (Includes target bonus)
Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.

La fourchette salariale pour ce poste est la suivante:
100,500.00 - 150,500.00 (Comprend le bonus cible)
La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien