Digital Real World Data and Healthcare Intelligence Business Analyst 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.

About the Digital Data team: We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Sanofi, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life‑saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Sanofi’s Digital Data organization’s mission is to transform Sanofi into a data and AI first organization by empowering everyone with good data. Through custom developed products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D; and manufacturing sites. The team is located in major hubs in Paris, Lyon, Hyderabad, Budapest, Barcelona, Cambridge, Morristown and Toronto.

The Digital

Real-World Data &

• Healthcare Intelligence Team (RWD &

• HI) ensures that a person’s “real” health experience, from diverse data sources like insurance claims, hospital records, fitness trackers, is a key part of every data-driven decision Sanofi makes. We are on a journey to surface valuable healthcare intelligence from a sea of data enabling confident, real‑time decisions to boost launch success and patient impact. We plan to accomplish this by developing a platform that leverages Artificial Intelligence to collate volumes of data from a wide‑range of sources and synthesize the information into actionable insights, and we need your expertise to educate and accelerate our roadmap. Reporting to the RWD &

• HI Product Line Manager, you are a detail‑oriented Business Analyst who bridges the gap between business stakeholders and technical teams. You enjoy translating complex healthcare data needs into clear requirements, performing data analysis to uncover insights, and collaborating closely with product owners, data scientists, and engineers to deliver impactful RWD &

• HI products. You thrive in an agile environment and are excited about how AI and advanced analytics can transform real‑world data into actionable healthcare intelligence. Gather, document, and refine business requirements from internal stakeholders, translating them into user stories and acceptance criteria Perform data analysis on RWD sources (claims, EHR, registry data) to support product decisions and identify trends Facilitate requirement workshops, stakeholder interviews, and sprint reviews to ensure alignment between business needs and delivery Support development of dashboards, reports,



and data visualizations that surface healthcare intelligence Collaborate with data scientists and engineers to validate data pipelines, define data quality KPIs, and ensure fitness-for-use of RWD &

• HI assets Contribute to the creation and maintenance of product documentation, process flows, and data dictionaries Assist in ensuring products meet applicable quality, regulatory (Data Privacy, GxP, SOX, etc.) Help track and report on operational performance indicators and product metrics Key Technical Requirements &

Qualifications: ~ Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Life Sciences, Business Analytics, Economics, Health Informatics)

• Master’s degree is a plus ~2+ years of experience in business analysis, product management, data analysis, or a similar analytical role;

experience in healthcare or pharma is a plus ~ Familiarity with data analysis tools and languages (e.g., SQL, Python, Excel);

experience with BI/visualization tools (e.g., Power BI, Tableau) is a plus ~ Exposure to telemetry, evaluation frameworks, or quality metrics for AI agents and AI‑powered features ~ Understanding of Agile/Scrum methodologies and tools (e.g., Experience with data structures, data flows, and data quality concepts ~ Prior experience with Real‑World Data (claims, EHR, registries) is desirable but not required Ability to connect tech and business worlds Business acumen Data‑driven – product analytics matter! Curiosity, asking the “Why” questions from the business to understand business rules better and the “How” questions from the development team to create a better vision of what the final product should be Experience supporting data‑centric software products or analytics initiatives Ability to tell a meaningful story through data and reporting Passion for life sciences and global healthcare An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team. An attractive, market‑oriented salary and cafeteria advantages.

Adaptable home office policy, with a possibility to work up to 2 days/week from home / where you can easily schedule your office days. Collective life and accident insurance. Yearly medical check‑up. Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others.





An individual and well‑structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks. Your professional and personal development will be supported purposefully. Join a great community & special events (Monthly Board Game Nights, Summer Events, Well‑Being Lectures & Sport Clubs).

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 advantages including high‑quality healthcare, prevention and wellness programs.

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 datasubject 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. Accommodations for persons with disabilities required during the recruitment process are available upon request. #At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.100,500.00 - 150,500.00 (Includes target bonus) Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. 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.

📌 Digital Real World Data and Healthcare Intelligence Business Analyst (Toronto)
🏢 Biopharma Careers
📍 Toronto