Data Engineering Internship – Impact, Mentorship & Perks

re-zoo-me; Fort Wayne, Northern (IN, KY); Hybrid; USD 28,000 - 48,000; Full time

Benefits offered by this job

Sign-on bonus

11 paid holidays annually

Housing stipend or corporate housing

Job summary

Stryker is offering a Data Analytics internship in the United States. You'll work on projects turning data into actionable insights, collaborating with cross-functional teams and leaders to drive decisions.

You will gain mentorship, exposure to executives, and contribute to innovative analytics initiatives. The role requires pursuing a related degree with a 3.0 GPA, Python/SQL skills, Power BI experience, and strong communication.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in a related field and must remain enrolled.
• Cumulative 3.0 GPA or above (verified at time of hire).
• Legally authorized to work in the U.S. without sponsorship now or in the future.
• Strong written and verbal communication with collaboration skills.
• Familiar with Python, SQL, Azure and/or GCP; eager to learn ETL and BI tools.
• Experience building reporting/analytics solutions with Power BI.

Responsibilities

• Apply classroom knowledge in a fast-paced, growing industry setting.
• Develop dashboards and data visualizations to drive business decisions.
• Collaborate with stakeholders to gather requirements and present insights.
• Contribute to documenting processes and presenting them clearly.

Skills

Python

SQL

Power BI

ETL

Excel

Azure

GCP

Communication

Teamwork

Education

Bachelor’s or Master’s degree in a related field

Tools

MS Copilot

Power BI

Job description

Stryker is offering a Data Analytics internship in the United States. You'll work on projects turning data into actionable insights, collaborating with cross-functional teams and leaders to drive decisions.

You will gain mentorship, exposure to executives, and contribute to innovative analytics initiatives. The role requires pursuing a related degree with a 3.0 GPA, Python/SQL skills, Power BI experience, and strong communication.