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Scania is seeking a Data Analyst/Scientist to strengthen the Quality Information team within the Brand Identity Development Field Quality organization. You will provide statistical support and build data models from vehicle production, warranty, fault codes, and operational data using Power BI and SAS Viya.
You will collaborate with analysts and data engineers in Södertälje and Brazil, contribute to cloud-first initiatives with Azure and Snowflake, and apply machine learning to uncover
Scania is undergoing a transformation from being a leading supplier of trucks, buses, and engines to providing complete and sustainable transport solutions. Together with TRATON and our sister brands MAN, Volkswagen Truck & Bus, and International, we are working to shape the future of mobility with innovative and environmentally conscious solutions.
Our values – customer first, respect, team spirit, responsibility, and elimination of waste – are at the heart of everything we do. Together, we are at the forefront of creating a sustainable future.
Join us in our mission to provide exceptional statistical support and drive the future of Scania's quality solutions.
Welcome to the Quality Information team within the SCANIA Brand Identity Development Field Quality organization!
We're on a mission to provide top-notch statistical support for decision making process and analysis that describe the quality situation in the field. We gather data from various sources, including vehicle production, warranty information, fault codes, workshop work orders, and operational data. We visualize this information using Power BI and SAS VIYA. With one of our analysts moving to a new position within Scania, we're on the lookout for a new team member to join our dynamic and innovative group.
We're looking for someone who thrives in a transforming organization.
You have a degree in engineering, computer science, or a similar field, and you possess excellent analytical skills. You enjoy helping others and have a knack for SQL coding and building reports in Power BI or SAS Viya. Experience in these platforms is a plus. As an analyst/data scientist in our team, you need to be cooperative with a strong customer focus, as you'll regularly interact with both the business side and Scania IT. You're curious about new technologies,have innovative mindset, and thrive in both team and individual settings.
You are good at solving complex problems and curios about the automotive industry.
Skills We Value:
Quality Information is a team within the SCANIA Brand Identity Development Field Quality organization that provides statistical support for decisions and analysis needed to describe the quality situation in the field. Our team is currently moving all our data to the cloud as part of Scania's "cloud first" strategy, using Azure and Snowflake. We collect data from various sources, including information about our produced vehicles, warranty information, fault codes, workshop work orders, and operational data. We visualize this information in Power BI or SAS VIYA.
Our team consists of three analysts and three data engineers in Södertälje and two analysts in Brazil. Since one of our analysts has moved to another position within Scania, we are looking for their replacement. Join us and be part of a team that values creativity, collaboration, and a customer-centric approach. Together, we help our customers make data-driven decisions with a smile and big hearts!
We offer a dynamic, flexible workplace with hybrid work options, including Scania Sergel and Midway hubs. With a structured development plan and courses, Scania supports your career growth both locally and internationally.
Benefits include training at our health center Gröndal or wellness allowance, result bonus, flexible hours, and company car leasing. Scania also hosts events for employees and their families, and Stockholm residents enjoy direct access to Södertälje via Scania Job express buses for an easy commute to Södertälje.
no later than 2026-11-01.
background check may be required for this role.
If you have questions or would like more information, please contact: