Avanade is the perfect stage to bring in your thoughtful, energetic and curious approach to technology consulting.

As an Intern in Avanade, you will play an instrumental role in doing what Avanade does best: delivering outstanding, complex projects with global impact and helping our clients transform their businesses through digital innovation. We are a fast-growing, diverse group of more than 100 passionate enthusiasts and specialists in Microsoft technologies. We actively encourage learning, focus on progress, acknowledge and reward quality. We’re ambitious and curious and want to bring on more people with a similar passion for technology.

At Avanade, everyone has a Career Advisor who works with you to create a plan and guides you in choosing from the many training opportunities we offer, as well as being a mentor in making sure you thrive and feel valued. We have a strong focus on the career and development opportunities of all our people and making sure our employees are proud of working at Avanade is central to us.
Together we do what matters.

Key responsibilities:

• As an intern, you will support colleagues to help catalyze the deployment of data analytics tools and techniques;

• You will have the opportunity to work on projects for a wide variety of clients, employing data analytics techniques to build models, analyze data and create visualizations;

• You will gain experience of working in a project-based environment and applying your data analytics skills to client assignments;

• Your assigned line manager will provide personal development to enhance your employability;

• You will be working in project teams to address real world problems.

You will be able to learn and work with the following technologies:

• Structured Data Storage: Development of objects in Microsoft SQL Server databases. Data warehouse development and modeling;

• Connectivity with data sources, data processing and loading into the destination;

• Report generation and data visualization with Power BI;

• SQL, Azure, Power BI, Python, Databricks, JavaScript, C#.