• Location: Budapest

About the job

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. 

We are looking for a dynamic Advanced Analytics Analyst interested in challenging the status quo on deploying enterprise data products, with AI models and underlying data visualizations for data consumption.  You are a valued influencer and a thought leader who is motivated to contribute to an AI focused Digital data organization. You have a keen eye for improvement opportunities and the demonstrated ability to deliver solutions that would enable data visualization, analytics, and data sciences.

Main responsibilities:

• As a data champion, look to implement analytical models on data sets to uncover insights
• Validate business requirements, defining global standards for data models, key performance indicators and measures, then implementing the global standards within our products for business units and markets
• Create and implement repeatable analytics models in order to assess to measure performance or assess quality of data
• Tell a story with data, hosting co-creation sessions to ensure needs are well understood and features are well articulated, producing mock-ups as required to quickly iterate on user feedback
• Understand the data landscape that enables the enterprise solutions, with the ability to align on global standards across multiple stakeholder groups
• A critical and analytical thinker, and a creative problem solver who can navigate difficult discussions and ambiguity to arrive at design solutions
• Understand and implement enterprise data governance, data architecture and data management standards
• Collaborate with business stakeholders to understand the business requirements, translating them to data, analytics and AI capabilities
• Partner with Product Owners and Scrum Masters and be able to work in agile pods
• Partner with Data Engineers and Data scientists to create data products

About you

Key Functional Requirements & Qualifications:

• Strong knowledge working within an Agile environment 
• Strong knowledge and experience deploying analytical models using software development tools like GitHub 
• Experience in data visualization and analytics solutions deployment 
• Experience in building data pipelines with data quality metrics in place 
• Interest and/or experience in healthcare and pharmaceutical data 

Key Technical Requirements & Qualifications:

• A university / college degree graduate in disciplines of engineering, computer science, mathematics, data science or related fields 
• Strong technical knowledge coupled with extensive experience in building analytical models, using scripting languages like python, and querying languages like SQL 
• Knowledge and experience of data platform tools like Snowflake and cloud platforms like AWS 
• Knowledge in UX and UI design and visualization tools like PowerBI and Tableau

Why choose us?

• An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
• An environment based on last technologies and frequent training to reinforce your profile
• Flexible home office policy, with a possibility to work up to 60% of time from home / where you can easily schedule your office days
• Work from an "Office of the Year 2024" finalist office

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