Data Analyst Intern Role Insights

Job Description

Data Analyst Intern at Stryker | Hybrid Work Flexibility

Stryker is seeking a Data Analyst Intern to join their Analytics team in the EMEA division. This hands-on internship offers the opportunity to analyze diverse datapoints to support Stryker’s growth strategy, enabling the commercial teams to reduce time spent on data searching, cleaning, and reporting. The role focuses on creating scalable investigative capabilities that transform data into actionable facts, insights, and foresights.

This internship is ideal for analytically minded individuals passionate about impacting healthcare through technology, offering valuable industry experience and a chance to help foster a strong data culture within Stryker.

Opportunities & Benefits

• Work on future-focused projects driving commercial success within the division.
• Gain personal development experience including stakeholder management in an international medical device company.
• Collaborate with functional stakeholders, COE team members, and senior management.
• Contribute to shaping the future of the COE Analytics team in EMEA.
• Join a top-rated workplace recognized as Europe’s 6th best “Great Place to Work.”

Key Responsibilities

• Translate stakeholder requirements into effective data analytics solutions.
• Analyze sales and product data to generate competitive and actionable insights.
• Conduct end-to-end analysis for various markets and divisions, including code validation and deployment.
• Support development of scalable and efficient data capabilities including integration of external data sources.
• Collaborate with sales operations analysts, commercial analysts, and BI analysts to drive insight generation.
• Build and enhance SQL queries, Power BI dashboards, and automate reporting processes.
• Prepare reports and presentations communicating research findings and market insights to internal teams.

Technical Skills & Qualifications

• Recent graduate with a master’s or bachelor’s degree in Computer Science, Analytics, Statistics, Mathematics, Economics, Business Administration, or related fields.
• Strong analytical skills with the ability to interpret data and derive meaningful insights.
• Proficiency in at least one key analytics tool: SQL, Python, Power BI, or DAX.
• Understanding of data governance concepts including documented definitions, calculation methods, data lineage, and sources.
• Excellent verbal and written communication skills.
• Ability to work independently and collaboratively in a team environment.
• Preferred South African citizenship.

Personal Attributes

• Self-starter with strong problem-solving skills and innovation mindset.
• Relationship builder maintaining successful interactions with internal and external stakeholders.
• High integrity, responsibility, and discipline with keen attention to detail.