An indispensable talent - from day one

We are on the search for new entry-level consultants in Copenhagen Data. As an entry-level talent, you will be an important part of the data consultancy team from day one. You will start working on a project and immediately gain concrete, practical experience. So, you'll have to be motivated by the process of 'learning by doing'. It is important to us that you are part of creating value for our clients. Thereby you will be an indispensable project participant - from day one.

Copenhagen Data consist of the country’s most talented data consultants. Many of our consultants started as entry-level talents with a motivated mid and a passion for data. Working on our data projects requires independency, technical abilities, and a strategic understanding. You don't need years of experience or a large technical ballast. We will gradually educate you so you will master the required disciplines in our data projects. We will also counsel you on your career development and the challenges you face as a data consultant. You will get a personal mentor as your primary person of contact - who will be responsible for your personal development from day one.

Who are you?

We are excited to find out! We evaluate every candidate individually based on their profile and our expectations to the position. The most important thing is that you are motivated and interested to learn how to innovate and streamline data while creating value for our clients.

The work assignments of an entry-level talent are broad, as they vary from project to project. Below you can see the most common assignments you will work on at Copenhagen Data.

Work assignments

• Analysis of business needs through interviews and workshops

• Elaboration of solution proposals through design of components that supports business needs

• Organization of implementation plans for our gradual deliveries

• Development of processes for collecting and quality checking data

• Implementation of systems and processes for creating and maintaining transversal business data

• Modelling of data for usage in reporting or statistical models

• Ad-hoc development of standard reports and presentations

• Testing of statistical models for process automation

• Preparation of handover documentation for clients

• Planning/implementing initiatives to introduce solutions to end-users