Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.

WHO WE ARE AND WHAT WE BELIEVE IN

Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide.
Applying to this job offers you the opportunity to join Volvo Group. Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities.
Group Digital & IT is the hub for digital development within Volvo Group. Imagine yourself working with cutting-edge technologies in a global team, represented in more than 30 countries. We are dedicated to leading the way of tomorrow’s transport solutions, guided by a strong customer mindset and high level of curiosity, both as individuals and as a team. Here, you will thrive in your career in an environment where your voice is heard and your ideas matter

At Volvo you will contribute to the transformation of our company, the transport industry and society at large. You will be a Senior Data Analyst working in Data Analyst Chapter to deliver best in class Data Product for business cases. In this role you will:

• Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read and understood
• Close cooperation with stakeholders in order to gather, manage and document business requirements
• Collaborating with information architects, data engineers, and business stakeholders to identify data sources and assist in data extraction for analysis.
• Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary
• Supporting the data team in identifying, documenting and revising reporting requirements.
• Supporting initiatives for data integrity and normalization.
• Provide data profiling and some basic quality assurance of imported data in order to make it usable
• Use BI tools (graphs, infographics and other methods) to visualize data