Data Analyst Intern at Stryker

Overview:

• As a Data Analyst Intern in Stryker, you will be immersed in analyzing various datapoints to help Stryker deliver its growth strategy in EMEA. Together with the Analytics team you will create scalable, investigative capabilities which enable the Division commercial teams to reduce time spent on data searching, cleaning, reporting and shift focus towards running the business with supporting facts, insights, and foresights. This role is perfect for highly analytically minded individuals looking to impact healthcare through technology. This hands-on internship offers a unique opportunity to contribute to create a data culture in Stryker and gain valuable industry experience.

Opportunities & benefits that the role offers

• Opportunity to work on fulfilling and future focused projects, which will contribute to our continued commercial success within the division.
• This position offers excellent opportunities of personal development including stakeholder management within an international medical device company, working together with both functional stakeholders, COE team-members and Divisional senior management.
• Help shape the future of the COE Analytics team in EMEA, to ensure the team provide best in class service to our commercial divisions.
• Work in Europe’s 6th best “Great Place to Work”.

Requirements:

• Preferably recently graduated students in master's or bachelor's degree in computer science, Analytics, Statistics/Mathematics/Economics, Business Administration or a related field.
• Strong analytical skills and an ability to interpret data to derive meaningful insights.
• Excellent verbal and written communication skills.
• Preferably South - African citizen
• Ability to work collaboratively in a team environment as well as independently.

You are Skilled Within the Following Technical Areas:

• Data governance concepts including the need for documented definitions, calculations, sources, lineage, etc.
• Experienced in at least one of the tools central to data analytics: SQL, Python, Power BI, DAX