摘要
You will work under the guidance of senior data engineers, data quality leads, and managers to build, test, and maintain data pipelines, apply data quality controls, and support analytics teams with reliable, well‑governed data. This role provides a strong foundation for a long‑term career in data engineering, data quality, governance, and AI enablement within life sciences.
About the Role
Job Description
Major Accountabilities
- Support the development and maintenance of data ingestion and integration pipelines for analytics and reporting use cases.
- Assist in implementing data quality checks, validations, and monitoring using defined business and technical rules across the data lifecycle.
- Contribute to automation of recurring data preparation, reconciliation, and quality validation tasks.
- Develop and enhance data pipelines using Python and SQL under supervision, following established coding and quality standards.
- Support CI/CD processes for data pipelines, including testing, version control, and documentation.
- Collaborate with senior data engineers, data quality analysts, solution architects, and vendors to understand data solutions and best practices.
- Apply foundational data management concepts such as data modelling, harmonization, reference data usage, and standard definitions.
- Help maintain metadata, data lineage, and documentation to improve data discoverability, transparency, and reuse.
- Follow established data governance, privacy, security, and FAIR data principles as applicable to assigned projects.
- Participate in requirement‑gathering discussions and feasibility assessments with guidance, with attention to data quality and compliance considerations.
- Support end users and analytics teams by responding to data‑related queries and helping with basic data quality issue investigation.
- Actively learn enterprise data platforms, data quality frameworks, governance processes, and life‑sciences data concepts through on‑the‑job training.
Minimum Requirements
- Bachelor’s degree (or final‑year student converting from internship) in Computer Science, Informatics, Engineering, Life Sciences, or a related field.
- 0–2 years of relevant experience, including internships, academic projects, or hands‑on training in data, analytics, software development, or data management.
- Basic programming knowledge in Python and/or SQL.
- Familiarity with relational databases and fundamental data concepts, including data quality dimensions (accuracy, completeness, consistency).
- Exposure to cloud platforms, data engineering tools, data quality tools, or analytics tools through coursework or internships is a plus.
- Willingness to learn data engineering best practices, data governance concepts, DevOps basics, and cloud‑based data integration.
- Understanding of software development lifecycle and Agile ways of working (basic level).
- Strong analytical thinking, problem‑solving skills, and attention to detail.
- Good communication skills and ability to work effectively in a team‑oriented, global environment.
Skills Desired
- Data Engineering Fundamentals
- SQL & Python (Basic to Intermediate)
- Data Quality & Validation Concepts
- Foundational Data Governance & Compliance Awareness
- Data Modelling (Foundational)
- Metadata, Lineage & Documentation Practices
- Cloud Data Platforms (Exposure)
- BI & Analytics Tools (Exposure)
- Agile & Collaborative Working
- Curiosity and Continuous Learning Mindset
Why Novartis
Our purpose is to reimagine medicine to improve and extend people’s lives. At Novartis, early‑career talent plays a critical role in building trusted, high‑quality, and well‑governed data foundations that enable analytics, AI, and better healthcare decisions.
As an Associate Analyst, you will gain practical experience, structured learning, and mentorship while contributing to impactful, real‑world solutions that emphasize data quality, governance, and reliability.
Join us to build your data career while helping improve healthcare outcomes globally.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
