Data Analyst

Data Analyst​

Hybrid working

Location : Budapest

We are an innovative global healthcare company, driven by one purpose : we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Omnichannel Data Hub supports the Sanofi Specialty Care, General Medicines and Vaccines business units to manage HCP Campaign Performance, Consumer Profiles & Campaign Management and Consumer Activation & Measurement. In this role you would join our talented team in Budapest, while helping establish the new data technical deliver center in Budapest. It is a unique opportunity to join a new team within an established organization.

In this role as a Data Analyst , you will play a crucial role in analyzing complex datasets, generating actionable insights, and facilitating data-driven decision-making processes. Specifically,

Analyze issues within omnichannel data and Vendor provided data sources, as it pertains to data foundations

Conduct thorough data validation and quality assurance processes to ensure accuracy, completeness, and consistency of datasets

Provide accurate translation of Data Source object model into warehouse and reporting of KPI’s

Work with business stakeholders to understand requirements for data use, analysis, and quality, communicate solution tradeoffs to frame and influence project decisions

Engage delivery teams to communicate solution vision and priorities, promote usability standards and design solutions with a high-quality, effortless UX

Proactively monitor industry, functional, and technology trends to guide business partners on emerging opportunities

Support enterprise digital strategy and organizational change management

Define, setup, and execute test cases to validate that the solution meets functional and non-functional requirements

Ensure that data is managed / analyzed in compliance with applicable quality, regulatory (Data Privacy, GxP, SOX, etc.) and cybersecurity requirements

Identify and aggregate data from internal and external sources, guide solution design to meet data and integration requirements

Envision future use cases for big data and roadmap solutions to fulfill those use cases

Identify new opportunities to leverage data and to integrate data or applications to enhance business value

Contribute to management of central data stores and metadata, provide consultative support and advice on technology projects led by business partners

Participate in the visualization strategy and execute to improve products, infrastructure and processes.

Manage external 3rd Party vendors and provide oversight on warehousing, engineering dashboarding projects

Remains up to date on company’s standards, industry practices and emerging standards, support global, Enterprise-class systems, regarding ITIL / ITSM processes / practices

Identify areas in need of improvement and the drive to put a solution in place which addresses those needs

Prepare and maintain training material and SOPs, knowledge base articles and technical documentation

About you

Core Requirements :

Bachelor’s degree in Computer Science, Information Systems, Software Engineering or similar field

Proficiency in SQL (Snowflake) and Python for data extraction, manipulation, and analysis

Expert in Analytics and data warehouse concepts

Knowledge of KPIs, hierarchies, and the understanding of data relationships

Excellent analytical and problem-solving skills, with a keen attention to detail

Ability to work collaboratively in a fast-paced environment, effectively communicating complex technical concepts to non-technical stakeholders

Excellent communication skills in English, both verbal and in writing

3 years+ experience in relevant role

Preferred Experience :

Pharmaceutical and / or Patient Support experience

Strong understanding of Snowflake data warehouse and cloud-based data technologies

Snowflake, IICS

Ability to connect to data sources (internal and external), import data, and transform data

Familiarity with programming languages such as Python or R for data analysis and scripting

Experience in Agile development processes and DevOps methodology / principals

Knowledge of cloud computing (AWS / Azure)

Pursue , discover

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing : a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our and check out our Diversity Equity and Inclusion actions at !