DTC/P AA & AI, Data Analyst
Sanofi · Cambridge, MA
- On site
- Full-time
- $110,000 / year
- Cambridge, MA
Job highlights
- Analyze digital consumer/patient experiences using data and AI.
- Develop measurement and insights for activation readiness.
- Collaborate with cross-functional teams on strategy and use cases.
- Activate audiences on publisher platforms and ensure success.
- Utilize BI tools and SQL for reporting and data modeling.
About the role
Data Analyst, Advanced Analytics & AI
At Sanofi, we’re committed to providing the next-generation healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve healthcare challenges and unmet needs sooner than ever before. Join the Digital Global Business Unit focused on delivering the best-in-class personalized digital experience to customers and patients powered by data-driven decisions. This role will focus specifically on the digital experience of consumers and/or patients who could benefit from Sanofi specialty therapies. As part of the DTC/P Advanced Analytics & AI team, you will work with the Product Line Owner, the Activation Product Owner, the Insights and Measurement Product owner as well as other stakeholders to be accountable to support activities such as audience activation, media and campaign measurement support, and data operations activities. Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.
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
As the DTC/P Data Analyst you will support the:
- Design, Operationalization, and Interpretation of the measurement and insights capabilities of the DTC/P ecosystem; ensuring the measurement insights are activation ready to support all the Use Cases required by the Business.
- Innovation of the DTC/P cross media intelligences measurement and reporting capabilities ensuring the platform and assets are Future Fit ready, able to support AI mediated engagement throughout the customer journey lifecycle.
- Impact assessment of key digital direct consumer/patient experience products and subsequent advancements required in measurement and insights to support ongoing initiatives.
- Collaborate with cross-functional teams to gather requirements, drive measurement and insight strategy for platform use cases.
- Activate Use Case audiences to publisher platforms and ensure successful activation.
- Support the agile pod Use Case development teams by participating in segmentation, test & control, and final audience builds.
- Provide data quality control testing and insight upon various data feeds ingested into the DTC/P platform.
- Reporting & Visualization: Support and interpret measurement dashboards for key stakeholders to monitor real-time performance indicators and digital media engagement trends.
- Support the DTC/P Insights and Measurement Product Owner through data mining and data insights for AdHoc project requests.
- Help standardize and deliver digital products with a focus on the consumer/patient experience analytics and AI.
- Promote architectural consistency and usability standards; define and execute test cases.
Additionally, You Will Take An Active Role In Supporting
- Work with the DTC/P team, business stakeholders, and the systems integrator to define the required KPI’s, reporting insights, and dashboard designs.
- Create processes and procedures for measurement and insights reporting, as well as provide recommendations for optimizations based upon measured media, audience, and placement performance.
The Ideal Candidate Will Possess
- A strong background in Data, Analytics, Measurement and passion for driving innovation through foundational data-driven solutions.
- Extensive experience of digital media audience activation and measurement reporting.
- Experience with interacting with digital media publisher data, audience data, and onboarding data consumption layer ready data.
About You
Basic Qualifications:
- Bachelor’s degree in any domain. Master's a plus.
- Minimum of 5+ years of experience in data analytics and/or digital media analytics or related roles.
- Familiarity with descriptive and predictive analytics.
- Proficiency with business intelligence tools like Tableau, Power BI for creating dashboards and visualizations.
- Experience with data visualization libraries in Python or R.
- Experience ensuring data accuracy, completeness, and consistency across datasets, building trusted data foundations that enable reliable decision making.
- High proficiency in SQL with experience creating data models for analysis and reporting.
- Ability to rapidly understand key business processes and their corresponding data assets, data flows.
- Proficiency in segmentation testing, A/B testing methodologies, and experimental design for impact assessments.
- Knowledge of KPIs, hierarchies, and the understanding of data relationships.
- Functional knowledge of data consumption layers and consumption ready datasets to inform measurement and intelligence.
Core Soft Skills Requirements
- Track-record of problem-solving & overcoming roadblocks in a complex environment, with a “get things done” mindset.
- Strong cross-functional leadership & influencing skills including an ability to work efficiently cross-functionally with: Internal/external data engineers and data scientists to test outcomes and recommend enhancements. Business stakeholders to evolve measurement and insight capabilities.
- Proven ability to build credibility and trust with business stakeholders: Translating technical complexity into business value and strategic impact. Delivering on commitments and managing stakeholder expectations proactively.
- Strong verbal and written communication skills.
Preferred Experience
- Pharmaceutical experience, e.g., knowledge of healthcare data privacy & compliance regulations is a strong plus.
- Experience in data analytics from a media intelligence perspective.
- Hands-on experience with LiveRamp (or equivalent) Safe Haven data collaboration & clean room audience build, media activation, and measurement environment is a strong plus.
- Experience with model-based audience creation; look-a-like modeling; test and control; segmentation.
- Experience with digital media performance insights and measurement.
- Experience in Agile development processes and DevOps methodology / principals.
- Foundational data experience. Data dictionary, Taxonomy, Naming Conventions.
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 and at least 14 weeks’ gender-neutral parental leave.
Key skills/competency
- Data Analysis
- Advanced Analytics
- AI
- Digital Media
- Measurement
- Reporting
- SQL
- Tableau
- Power BI
- Python/R
Skills & topics
- Data Analyst
- Analytics
- AI
- Advanced Analytics
- Digital Media
- Measurement
- Reporting
- SQL
- Tableau
- Power BI
- Python
- R
- Segmentation
- A/B Testing
- Pharmaceutical
- Healthcare
- Morristown, NJ
How to get hired
- Tailor your resume: Highlight data analytics, AI, digital media, and SQL expertise.
- Showcase your experience: Quantify achievements in audience activation and measurement reporting.
- Prepare for technical questions: Brush up on SQL, Tableau/Power BI, Python/R, and experimental design.
- Demonstrate problem-solving: Be ready to discuss complex challenges and your 'get things done' approach.
- Research Sanofi: Understand their AI-driven, R&D focus in biopharma.
Technical preparation
Master SQL for complex data modeling and queries.,Practice building dashboards in Tableau or Power BI.,Develop Python/R skills for data visualization.,Understand A/B testing and experimental design.
Behavioral questions
Describe a complex data problem you solved.,How do you translate technical insights to business value?,Share an example of influencing cross-functional teams.,How do you ensure data accuracy and trust?
Frequently asked questions
- What specific AI and advanced analytics experience is Sanofi looking for in a Data Analyst?
- Sanofi seeks candidates with a strong background in leveraging AI and advanced analytics for healthcare solutions. This includes familiarity with descriptive and predictive analytics, and the ability to apply these to digital consumer/patient experiences, media measurement, and audience activation within the pharmaceutical context. Experience with AI-mediated engagement and building AI-powered platforms is highly valued.
- How important is pharmaceutical or healthcare industry experience for this Data Analyst role at Sanofi?
- While a Bachelor's degree and 5+ years in data analytics are basic qualifications, pharmaceutical experience, including knowledge of healthcare data privacy and compliance regulations, is a strong plus. This indicates that industry-specific knowledge is highly desirable and can significantly benefit your application for this role.
- What are the key BI tools and programming languages required for the Data Analyst position at Sanofi?
- Proficiency with business intelligence tools like Tableau and Power BI for dashboard creation and visualization is required. Additionally, experience with data visualization libraries in Python or R is expected. High proficiency in SQL for data modeling and reporting is also a core requirement.
- Can you describe the typical team structure and collaboration for a Data Analyst at Sanofi in the Digital Global Business Unit?
- As a Data Analyst in the DTC/P Advanced Analytics & AI team, you'll collaborate closely with Product Line Owners, Activation Product Owners, Insights and Measurement Product Owners, and cross-functional teams. You will also work with internal/external data engineers, data scientists, and business stakeholders to define KPIs, develop insights, and support use case development within an agile framework.
- What does Sanofi mean by 'building the first biopharma company powered by AI at scale' in relation to this Data Analyst role?
- This vision means Sanofi is integrating AI across its operations, from R&D to patient engagement. For this Data Analyst role, it signifies an opportunity to work on cutting-edge AI applications within the pharmaceutical sector, contributing to data-driven decisions that transform healthcare delivery and patient experiences at a large scale.
- What kind of data will a Data Analyst typically work with at Sanofi for this role?
- You will work with various datasets including digital media publisher data, audience data, and consumer/patient experience data. This involves ensuring data accuracy, completeness, and consistency for ingestion into the DTC/P platform, and preparing data for analysis, reporting, and AI-driven engagement.