Lead Data Analyst

Job title: Lead Data Analyst

Location: Morristown, NJ

About the job

As Lead Data Analyst within our Digital team, you will play a critical role in enabling high-quality, trusted customer data across Sanofi's US commercial and enterprise ecosystem. Ready to push the limits of what's possible? Join Sanofi Digital!

You will be a key contributor within the Customer Master Data team, supporting the delivery, monitoring, and continuous improvement of Customer 360 capabilities for the US market. Working closely with the US Product Owner, GTMC stakeholders, Data Governance, Privacy, and Digital teams, you will focus on data analysis, data quality, and operational insights to ensure Customer MDM meets US business, regulatory, and analytical needs.

Your work will directly support downstream systems such as CRM, analytics platforms, and identity solutions by ensuring accurate, consistent, and compliant customer data.

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

• Analyze US customer master data across data domains to ensure accuracy, completeness, consistency, and timeliness.

• Support the US Customer MDM product team by providing data-driven insights to inform backlog prioritization, feature enhancements, and defect resolution.

• Perform data profiling, root cause analysis, and impact assessment for data quality issues affecting downstream systems such as CRM, analytics, USDF, and CIAM.

• Define, monitor, and report on US-specific data quality KPIs, thresholds, and trends, partnering with Data Governance and Stewardship teams to drive remediation.

• Collaborate with US business stakeholders, GTMC teams, and country operations to understand customer data usage, pain points, and reporting needs.

• Translate business and operational questions into analytical requirements, queries, dashboards, and recurring data quality or operational reports.

• Support US market onboarding, enhancements, and releases by validating data readiness, conducting UAT data checks, and supporting go-live activities.

• Partner closely with Data Engineers and Architects to validate source-to-target mappings, transformation logic, matching rules, and survivorship outcomes for US customer data.

• Ensure US Customer MDM data complies with local regulatory, privacy, and consent requirements by working with Privacy, Legal, and Compliance teams.

• Contribute to the implementation and adoption of US-specific data standards, reference data, and stewardship processes.

• Support change management and adoption efforts by providing clear data insights, documentation, and guidance to business users and consuming systems.

• Identify opportunities for automation, reporting optimization, and advanced analytics to continuously improve Customer MDM data operations in the US market.

About you

• Bachelor's degree in Information Science, Computer Science, Mathematics, Statistics, or a related quantitative discipline. Master’s degree preferred.

• 7+ years of experience in data analytics, data/database management, and data quality reporting within complex enterprise environments.

• Strong understanding of Customer Master Data Management (MDM), Customer 360 concepts, and data quality management, highly preferred within healthcare, pharmaceutical, or other regulated industries.

• Proven hands-on experience analyzing large, complex datasets using SQL (Snowflake experience and working knowledge of Python preferred)

• Experience using at least one BI/reporting tool such as Power BI, Qlik Sense, or Tableau to deliver clear insights to business and technical stakeholders.

• Solid knowledge of data modelling and data warehousing principles, including data cleansing, transformation, integration, and validation to ensure data consistency and quality.

• Experience partnering with Product, Data Engineering, Architecture, and Data Governance teams to support MDM implementations and downstream systems such as CRM and analytics platforms.

• Strong analytical, organizational, and problem-solving skills, with the ability to manage multiple priorities and deliver actionable insights.

• Excellent written and verbal communication skills, with the ability to clearly convey complex and sensitive data insights to non-technical stakeholders.

Why Choose Us:

• Bring the miracles of science to life alongside a supportive, futurefocused 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.

• Join the digital force behind Sanofi’s AI-powered pipeline, where Expert, Generative, and Snackable AI accelerate the discovery, development and delivery of breakthrough treatments to patients.

• Help reduce time from discovery to commercialization, delivering life-changing medicines to patients faster than ever.

• Join a workplace where diversity, equity, and inclusion are at the core, with Employee
  Resource Groups and leadership programs that celebrate every voice.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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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.