Consumer Data Analyst

Who are we?
Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.
Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent.
We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future.

What do we offer?
Confirm Consumer Value - This is the purpose of Product Validation & Function Architecture, a department within Research and Development at Volvo Cars. The Consumer Data team is a part of this department, with the purpose to provide with the data and analysis support. Focus of the team is to work with both objective (in vehicle measured) and subjective (customer surveys and equal) data.

Are you passionate about the data and analyzing human behaviors, and would like to have an impact on the future of Volvo Cars? Would you like to join the Consumer Data team and further enhance the usage of the data when designing our future products? We are now looking for a Consumer Data Analyst with a mindset to influence, collaborate and team up with our teams. 

What you’ll do
You will be responsible for development of the custom models and algorithms to apply to large datasets (both numerical and text), as well as processes for monitoring and analyzing their performance. You will perform data mining (including preprocessing of the data) and analysis of the data from different sources. Your responsibilities will also include usage of predictive modeling to optimize customer experiences as well as the current and future products and services.

You will have a lot of interaction throughout the organization and collaborate with different stakeholders to identify opportunities for leveraging data to drive business decisions. You will also decode your results into easily accessible/understandable presentations. 

Do you fit the profile?
We see that you have you have a MSc Degree in a relevant area (Computer Science, Mathematics, Statistics) or equivalent expertise. You have a strong passion for data and data science, you know how to apply data science methods and techniques in order to generate customer value and subsequently increase customer satisfaction. 

Further you have previous experience from applying a wide range of statistical techniques to large data sets and understanding their real-world advantages/drawbacks. You have proven experience in data modelling (concrete examples are highly appreciated) and are experienced within data visualization, building dashboards and interactive graphs such as Tableau, Power BI, etc. You also possess programming skills for data analysis and modeling, preferably in Python.

As a person you are an easy going and open-minded team player with strong communication skills in English. To be successful in this role you also need advanced analytical and problem-solving skills. In order to fully understand the real-world usage and to be able to test our product, we see that you have a driver license (B).

Meritorious skills would be a strong business acumen, experince within agile way of working or in using web services (AWS, GCP).

How to learn more and apply
Does this sound like your next challenge? Welcome with your application by submitting your resume and cover letter via the link below no later than the 31 of May however incoming applications will be reviewed on an ongoing basis, so please apply as soon as possible!

For questions regarding the position please contact hiring manager Pernilla Wigholm pernilla.wigholm@volvocars.com . For questions regarding the recruitment process, contact recruiter sandra.viklund@volvocars.com . Please note that due to GDPR we do not accept any applications via email.