Overview

A data analyst intern is a temporary staff member who has been onboarded for a limited time to provide support to the data analytical operations within a given company. The digitalization of healthcare has created a direct link between data analytics technology and patients. In this Africa Data Analytics Internship programme, you can explore different corners of the field – maybe even surprising yourself with new interests – while making a difference to people’s lives. Our programme is for early-in-career talents that provides an entry gate into a company with global impact.

Job Functions/ Responsibilities

• Real work experience and project responsibilities – we encourage ownership and entrepreneurship.
• Professional and personal development – including mentoring and coaching by commercial leaders and data science experts.
• Enhanced knowledge of the Roche Pharmaceuticals and Diagnostics business and its product portfolio
• Exposure to IT core processes as well as our Pharma and/or Diagnostics R&D, Commercial and Corporate Functions business
• Global experience and cross-cultural understanding
• Extensive global people network

Requirements / Qualification

• You have an excellent academic background (4th grade BS/MS/Phd) and recently graduated with a strong focus on information technology/quantitative fields.
• Data analysis capabilities: ability to discover data analytics questions from commercial scenarios, as well as conduct basic data analysis.
• Data engineering skills must be familiar with data manipulation tools, database management, and data visualization. Experienced in software tools such as Tableau, Data Studio, SQL, etc.
• Data science knowledge must be hands-on experience of mathematical modeling/ statistical analysis/ machine learning. Programming skills (Python, R).
• Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects
• A quick learner and passionate about continually adapting your skills and knowledge
• Keen on expanding your experience and leveraging data analytics methodologies in a world leading pharmaceutical company.
• Fluent in English; an additional language would be an asset

NB:

• Business administration capabilities, such as business demand analysis, project management, etc.
• Biomedical knowledge, such as genomic science
• Opportunities to work with different stakeholders on various projects in the healthcare field, ranging from DNA sequence analysis, market insight generation, digital solution buildup, etc.