- Location
- Hyderabad (Office), India
- Type
- Full-time
- Department
- Engineering
- Seniority
- Entry
- Closing date
- 1 week ago
- Source
- Workday
Description
Job Description Summary
Step into the world of data-driven innovation at Novartis, where your curiosity and analytical mindset can make a real difference. As an Associate Engineer in our DDIT US&I team, you’ll help shape smarter decisions by transforming complex data into meaningful insights. This is your opportunity to work alongside experienced professionals, contribute to impactful projects, and grow your skills in a collaborative, inclusive environment that values fresh perspectives and bold ideas.
Job Description
Major accountabilities:
· - Bachelor’s degree in computer science, engineering, statistics, or a related field
· - Strong analytical and problem-solving skills to interpret complex data sets
· - Familiarity with SQL, Python, and data visualization tools like Power BI
· - Effective communication skills to present insights clearly to stakeholders
· - Ability to work collaboratively in cross-functional teams
· - High attention to detail to ensure data accuracy and quality
· - Eagerness to learn and grow in a fast-paced, data-driven environment
· - Cloud platforms (AWS, Azure) awareness around decoupled, scalable and distributed components
Essential Requirements
· - Bachelor’s degree in computer science, engineering, statistics, or a related field
· - Strong analytical and problem-solving skills to interpret complex data sets
· - Familiarity with SQL, Python, and data visualization tools like Power BI
· - Effective communication skills to present insights clearly to stakeholders
· - Ability to work collaboratively in cross-functional teams
· - High attention to detail to ensure data accuracy and quality
· - Eagerness to learn and grow in a fast-paced, data-driven environment
· - Cloud platforms (AWS, Azure) awareness around decoupled, scalable and distributed components
Location:
Hyderabad
Skills Desired
Clinical Data Management, Databasing, Data Entry, Data Management, Data Science, Detail-Oriented
