Lead Data Analyst

About This Role

As a Lead Data Analyst in the Digital team, you will ensure high-quality, trusted customer data across Sanofi's US commercial and enterprise ecosystem, supporting Customer 360 capabilities for the US market.

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

Requirements

• 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
• Proven hands-on experience analyzing large, complex datasets using SQL
• Experience using at least one BI/reporting tool such as Power BI, Qlik Sense, or Tableau
• Solid knowledge of data modelling and data warehousing principles
• Experience partnering with Product, Data Engineering, Architecture, and Data Governance teams to support MDM implementations and downstream systems

Qualifications

• 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.

Nice to Have

• Master’s degree
• Snowflake experience
• Working knowledge of Python
• Experience within healthcare, pharmaceutical, or other regulated industries

Skills

* Required skills

Benefits