Lead Data Analyst
Munkakör leírása
- Location: Budapest – Sanofi Business Services, Váci Greens
- Hybrid working
Join the digital engine driving Sanofi's transformation — where AI, automation, and bold experimentation power faster science and smarter decisions. In Digital, you'll help build the first biopharma company powered by AI at scale, working at the intersection of data, technology, and business strategy to shape a harmonized commercial data foundation.
About US
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 large datasets to uncover trends, patterns, and actionable insights that support strategic business decisions across US Brands.
- Identify and assess business needs that align with product strategy, ensuring a harmonized commercial data foundation.
- Design and define data ingestion processes to ensure efficient data flow, integration, and quality across systems.
- Develop detailed functional specifications and test cases based on business requirements, collaborating closely with Data Engineering teams.
- Champion data quality by implementing robust assessment measures that improve accuracy and reliability.
- Mentor team members on data analysis best practices and product data standards.
- Ensure all deliverables meet quality, regulatory (Data Privacy, GxP, SOX), and cybersecurity requirements.
- Proven experience in data analysis, data manipulation, and data management — with strong SQL querying skills as a core competency.
- Solid understanding of data warehousing concepts, including design patterns and load strategies; familiarity with Snowflake, ETL/ELT, Informatica, and AWS is a strong plus.
- Experience in the pharmaceutical, biotech, or healthcare industry is highly valued.
- Analytical mindset with the ability to challenge assumptions, identify high-leverage insights, and communicate trade-offs clearly to stakeholders.
- Collaborative team player who thrives in fast-moving, agile environments; knowledge of Six Sigma and Agile practices is a plus.
- Familiarity with digital data sources (web, email, social media, TV) and tools such as JIRA, Confluence, and the Microsoft Suite.
- Bachelor’s degree in data science, Computer Science, Information Systems, or a related field (or equivalent experience).
- An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
- Bring the miracles of science to life alongside a supportive, future-focused team
- An environment based on last technologies and frequent training to reinforce your profile
- Be part of a simpler, digital- and AI-powered business that’s rethinking how we work and engage with the world.
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