Novartis Recruitment 2026: Novartis is scheduled to hire a Associate Analyst for B.E/B.Tech/B.Sc graduates. Those looking for an IT jobs across India can utilize this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. Candidates can also apply for Target Recruitment.
Novartis Recruitment 2026 – Details:
| Job Role | Associate Analyst |
| Job Category | IT Jobs |
| Qualification | B.E/B.Tech/B.Sc |
| Experience | 0 – 2 Years |
| Salary/CTC | Best in Industry |
| Job Location | Across India |
| Last Date | ASAP |
Detailed Eligibility:
Associate Analyst:
- 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
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.
Summary: As an Associate Analyst, you will be part of a growing data engineering team that supports commercial analytics and data science use cases, with a strong emphasis on data quality, trust, and governance. This is an entry‑level role designed for interns transitioning into full‑time positions, offering hands‑on exposure to modern data platforms, cloud technologies, and foundational data management and governance practices. 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.
How to Apply for Novartis Recruitment 2026?
Interested and Eligible candidates can apply online using the below link as soon as possible.
For More Details & To Apply: Click here.
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