Data Analyst / Data Engineer

Imagine yourself on the way to work, a regular Wednesday morning. As you pass the city and the fields and look out; you see a Truck, a Construction Machine, and a Bus. All with the Volvo Brand. When looking at the driver in one of the Buses you pass, you realize that you can see how much these persons loves their vehicle, in the way their eyes spark and from their facial expressions. You can also see the satisfaction amongst the passengers – someone is sleeping, someone is looking out the window relaxing, and someone is talking in the phone, without needing to raise their voice, as the bus is electric and so quiet. As you look at these people and see their positive feelings, you feel proud. You feel proud since you are a part of building these customer experiences. You are doing it through creating new and advanced solutions for insights on perceived customer satisfaction in combination with future technologies, based on data and analytics!


Who are we, your new colleagues?


We at Volvo Group are constantly moving and changing to be one step ahead in the technology journey. Within Volvo Group Trucks Technology (GTT), we are adapting and challenging ourselves to be able to develop new breakthrough transport solutions. We strive to add value and the best solutions to our customers while being energy efficient, sustainable, and safer for society. That is why we at the team Data Engineering & Analytics are now looking for you, our new colleague, for the position as Data Analyst / Data Engineer.


In our team, we have the privilege to work both for entire GTT to enable data from our over 1M vehicles in an easy-to-use way and make sure the proper tools and platforms are in place. But we are now also building up a team to analyze and use the data ourselves and create business value for our department Vehicle Technology. Within both responsibilities we collaborate with other analytics groups and drive an analytics community – sharing knowledge and enable trainings as well.


We are passionate for what we do to help others becoming data driven and to make sense out of the data from our vehicles, but we also value great communication – without communication we cannot spread the knowledge and increase the awareness of what we can do with all this data. Lastly, we strongly believe that a helpful team who is passionate about what they do is the key for an effective and good work environment.


Roles and Responsibilities


Since we don’t know you yet, we might not have everything right about who we think you are and bring with you. If we would guess, we think you are a person with passion for Analytics and Data Engineering with previous experiences of working in Agile set ups. We also believe you enjoy identifying opportunities from business needs and translating them into attractive data solutions. You have an analytic mindset and like structuring things to increase reuse, simplifying for yourself, the team and other groups. We do believe you will contribute with:
Understanding the business needs and suggest solutions.
Implement and maintain suggested solutions or industrialize them with Digital & IT
Making data more reusable and cleaner with the right level of documentation
Participate in innovations, hackathons or similar to coming up with new ideas.

What we do know about you for sure, is that you need to be a team player with eagerness to try and change through collaboration, co-operation, sharing insights, solutions, and ideas.


Requirements and Qualifications
Master’s or bachelor’s degree in a relevant field, such as computer science or statistics.
About 2-3 years of experience in working with Analytics, preferably in a global environment.
Experience of working with relevant technical tools, platforms, and systems such as Azure / AWS Cloud, Python, PySpark, SQL, DataBricks, KNIME, Jupiter Notebook, Power BI etc.
If you have previous experiences of product development within automotive, it is a plus.
Experience of agile frameworks such as SAFe is a plus.

Good to have, or “I can learn”:
Knowledge of SQL servers, Cloud environments or Hadoop clusters.
Parquet files, XML schemas, SQL tables and other common formats.
Machine Learning techniques like Clustering, Pattern Recognition, Decision trees, Neural Networks and more

We Value Your Wellbeing


Volvo Group believes in diversity, equity, and inclusion and offers a safe environment to grow. Use your open mind and can-do attitude to help us steer our transportation solutions toward a more sustainable tomorrow.


Come, join us as we take our solutions into a new era and make modern life possible. Let's drive progress together.


For further information, please contact, Group Manager Data Engineering & Analytics Linus Lindroth at linus.lindroth@volvo.com


Apply here: http://gr.8job.eu/RZDHuaTd


Kindly note that due to GDPR, we will not accept applications via mail. Please use our career site.