About the role: 

You will join a diverse team of consumer consultants who work with some of Denmark’s leading retail brands. We can offer you a unique role in the cross-field between surveys, customer loyalty and advanced analytics. In short, your role will be to make sense of data. Your responsibilities will include: 

• Taking the lead on analyzing clients’ sales data in combination with survey data 

• Developing state-of-the-art machine learning models to help clients identify potentials for building loyalty and personalization 

• Deploying models across customers in client databases, allowing the client to make the right decisions for their business 

• Synthesizing findings and delivering reports 

• Making advanced analyses easy to understand for non-experts 

• Supporting senior colleagues in client dialogues and meetings 

• Supporting other colleagues in creating insights based on survey data  

About you: 

To succeed in this role, you need to be an expert in advanced analytics and machine learning, with a strong theoretical toolkit and experience in analyzing vast amounts of data. Specifically, you probably have the following qualifications:  

• Hands-on machine learning experience, preferably analyzing sales or marketing data 

• Advanced skills in R, Python, Alteryx, TensorFlow or the equivalent 

• At least intermediate skills in Excel and PowerPoint 

• A relevant degree with a heavy emphasis on advanced analytics (such as data science, business intelligence, economics or similar) 

• Strong analytical and commercial mindset  

• Practical experience with survey data or questionnaires 

• A can-do attitude and striving relentlessly to find solutions, even if the data is less than perfect 

• Flexibility and willingness to go the extra mile during peak periods  

• Can transform advanced statistical analysis into concrete business recommendations 

• Fluent in Danish and English 

As a person, you are ambitious, curious, proactive, and like to get things done. But most importantly you can see yourself as part of a team with a start-up mentality. Previous work experience would be a plus but is not a prerequisite. We would also welcome applications from recent graduates.