If you are a student or recent graduate looking to start your career in data, analytics, and cloud technologies, this Data Analytics Internship at Stryker can be a strong stepping stone. This opportunity is designed for candidates who want real-world exposure to enterprise data platforms, analytics tools, and modern data engineering workflows while working with a global healthcare technology leader.
This Data Analytics Internship offers hands-on experience with ETL pipelines, SQL, Python, Power BI, Databricks, and cloud-based analytics in a professional hybrid work environment.
- 1 About Stryker
- 2 Data Analytics Internship – Role Overview
- 3 Key Responsibilities in the Data Analytics Internship
- 4 Skills & Eligibility for Data Analytics Internship
- 5 Data Analytics Internship – Job Details (Quick Overview)
- 6 Why Choose This Data Analytics Internship?
- 7 Career Growth After a Data Analytics Internship
- 8 Final Thoughts
About Stryker
Stryker is a global leader in medical technology, working closely with healthcare professionals to make healthcare better. The company serves millions of patients every year through innovative solutions in MedSurg, Neurotechnology, and Orthopaedics. With a strong focus on innovation, data, and digital transformation, Stryker provides an excellent learning environment for interns interested in analytics and technology-driven roles.
Joining Stryker through a Data Analytics Internship means working in an award-winning culture that values learning, diversity, collaboration, and long-term career growth.
Data Analytics Internship – Role Overview
As a Data & Analytics Intern, you will support analytics and data engineering teams by working on real business datasets and dashboards. This Data Analytics Internship focuses on building strong fundamentals in data processing, visualization, and cloud analytics.
You will collaborate with experienced professionals and gain exposure to modern data platforms used across global enterprises.
Key Responsibilities in the Data Analytics Internship
During this Data Analytics Internship, your responsibilities will include:
- Assisting in ETL (Extract, Transform, Load) processes for ERP and operational data
- Supporting data integration using Databricks (PySpark & SQL)
- Designing and enhancing Power BI dashboards for cross-divisional analytics
- Writing, optimizing, and maintaining SQL queries and data pipelines
- Supporting data quality checks, validation scripts, and issue documentation
- Maintaining data documentation such as data dictionaries, process flows, and metadata
- Learning and contributing to CI/CD workflows for analytics solutions
- Using Git for version control and collaborative development
- Participating in discussions around data architecture, automation, and dashboard improvements
This Data Analytics Internship provides hands-on exposure to tools and workflows widely used in data analyst and data engineer roles.
Skills & Eligibility for Data Analytics Internship
Required Qualifications
To apply for this Data Analytics Internship, candidates should have:
- Bachelor’s or Master’s degree (ongoing or recently completed) in:
- Computer Science
- Engineering
- Data Analytics
- Statistics
- Or related fields
- Basic knowledge of SQL, Python, and data visualization tools (Power BI preferred)
- Strong analytical and problem-solving mindset
- Good communication skills and teamwork ability
Preferred Skills
- Exposure to Azure Cloud
- Familiarity with Databricks
- Experience using Git or version control tools
- Understanding of data modeling, databases, and data quality principles
Data Analytics Internship – Job Details (Quick Overview)
| Category | Details |
|---|---|
| Internship Role | Data & Analytics Intern |
| Keyword Focus | Data Analytics Internship |
| Company | Stryker |
| Location | Gurugram, India |
| Work Mode | Hybrid |
| Employment Type | Full-Time Internship |
| Job Category | Information Systems |
| Tools & Tech | SQL, Python, Power BI, Databricks, Azure, Git |
| Experience Level | Students / Fresh Graduates |
| Relocation | Not Required |
Why Choose This Data Analytics Internship?
This Data Analytics Internship is ideal if you want to:
- Build strong foundations in data engineering and analytics
- Work with enterprise-scale data platforms
- Learn cloud-based analytics and BI tools
- Gain experience in a global healthcare technology company
- Improve employability for future roles like Data Analyst, BI Analyst, or Data Engineer
Stryker’s focus on mentorship, documentation, and best practices ensures interns gain meaningful learning—not just routine tasks.
Career Growth After a Data Analytics Internship
Completing a Data Analytics Internship like this can open doors to:
- Entry-level Data Analyst roles
- Business Intelligence (BI) positions
- Junior Data Engineer roles
- Analytics roles in healthcare, technology, and enterprise domains
Interns also gain exposure to real datasets, production pipelines, and dashboards, which significantly strengthens resumes.
Final Thoughts
If you are serious about building a career in data and analytics, this Data Analytics Internship at Stryker is a valuable opportunity. With hands-on tools, structured learning, and exposure to global data systems, this internship can help you confidently step into the analytics industry.
👉 Best wishes for your application and your journey in data analytics. May this opportunity help you grow, learn, and succeed in your career! 🚀📊
